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Peerapong Uthansakul
School of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand

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Review
Published: 23 August 2021 in Sensors
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Unmanned aerial vehicle (UAV) antenna tracking system is an electromechanical component designed to track and steer the signal beams from the ground control station (GCS) to the airborne platform for optimum signal alignment. In a tracking system, an antenna continuously tracks a moving target and records their position. A UAV tracking antenna system is susceptible to signal loss if omnidirectional antenna is deployed as the preferred design. Therefore, to achieve longer UAV distance communication, there is a need for directional high gain antenna. From design principle, directional antennas are known to focus their signal energy in a particular direction viewed from their radiation pattern which is concentrated in a particular azimuth direction. Unfortunately, a directional antenna is limited by angle, thus, it must always be directed to the target. The other limitation of a UAV mechanical beam steering system is that the system is expensive to maintain and with low reliability. To solve this problem, we are proposing the use of MIMO technology as a readily available technology for UAV beyond line of sight technology. Although UAV antenna tracking is domiciled in the mechanical beam steering arrangement, this study shows that this native technology could be usurped by MIMO beam forming.

ACS Style

Anabi Hilary Kelechi; Mohammed H. Alsharif; Damilare Abdulbasit Oluwole; Philip Achimugu; Osichinaka Ubadike; Jamel Nebhen; Atayero Aaron-Anthony; Peerapong Uthansakul. The Recent Advancement in Unmanned Aerial Vehicle Tracking Antenna: A Review. Sensors 2021, 21, 5662 .

AMA Style

Anabi Hilary Kelechi, Mohammed H. Alsharif, Damilare Abdulbasit Oluwole, Philip Achimugu, Osichinaka Ubadike, Jamel Nebhen, Atayero Aaron-Anthony, Peerapong Uthansakul. The Recent Advancement in Unmanned Aerial Vehicle Tracking Antenna: A Review. Sensors. 2021; 21 (16):5662.

Chicago/Turabian Style

Anabi Hilary Kelechi; Mohammed H. Alsharif; Damilare Abdulbasit Oluwole; Philip Achimugu; Osichinaka Ubadike; Jamel Nebhen; Atayero Aaron-Anthony; Peerapong Uthansakul. 2021. "The Recent Advancement in Unmanned Aerial Vehicle Tracking Antenna: A Review." Sensors 21, no. 16: 5662.

Journal article
Published: 19 August 2021 in IEEE Access
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Cellular networks are constantly evolving to support the new context and demands of users with increasing internet traffic. The key to a service provider’s success is a direct response to endpoints to retain existing users and attract new users. For this reason, Mobile Network Operators (MNOs) must reach user satisfaction under a user-centered perspective with Quality of Experience (QoE) to achieve a Return on Investment (RoI). In the latest QoE modelling, our previous method performed QoE estimation and synthesis using an Artificial Neural Network (ANN). Nevertheless, such work did not prove the characteristics of the QoE model built on different working situations. The essential features of the area and user diversities need to be considered in detail to summarize the proper model. In this paper, the proposed framework focuses on analyzing QoE model characteristics under different operating situations for comprehensive implementation. The experimental results reveal that the created QoE models from areas of different densities affect the different predictive variables. Inter-Rater Reliability (IRR) analysis exposes the reliability of datasets gathered from users of different groups to distinguish the effects on the response of significant parameters. Additionally, the summary specifies the characteristics of the appropriate model by area and user group as a guideline for improving the multimedia services.

ACS Style

Patikorn Anchuen; Peerapong Uthansakul; Monthippa Uthansakul. QoE Analysis for Improving Multimedia Services Based on Different Operating Situations on Cellular Networks. IEEE Access 2021, 9, 116215 -116230.

AMA Style

Patikorn Anchuen, Peerapong Uthansakul, Monthippa Uthansakul. QoE Analysis for Improving Multimedia Services Based on Different Operating Situations on Cellular Networks. IEEE Access. 2021; 9 ():116215-116230.

Chicago/Turabian Style

Patikorn Anchuen; Peerapong Uthansakul; Monthippa Uthansakul. 2021. "QoE Analysis for Improving Multimedia Services Based on Different Operating Situations on Cellular Networks." IEEE Access 9, no. : 116215-116230.

Journal article
Published: 22 June 2021 in IEEE Access
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With the augmentation of affordable multimedia wireless gadgets, the ubiquitous availability of the internet access, and the rapid pace of mobile traffic motivate research towards fifth generation (5G) communications to realize energy-efficient cloud radio access networks (C-RAN) with guaranteed quality of experience. Exploiting green energy harvesting for powering the C-RAN substantially alleviates the energy procurement from the utility grid, carbon footprint, and operational expenses. In this paper, we propose a new dynamic point selection coordinated multipoint (DPS CoMP) based load balancing paradigm emphasizing achievable throughput and energy efficiency (EE) by reducing utility grid consumption from a network level perspective. This paper investigates the radio efficiency, EE, and average on-grid energy saving addressing the key challenges of tempo-spatial dynamics of traffic intensity and renewable energy (RE) generation under a wide range of network setup. Endeavoring load balancing technique strives a balance in network utilities such as green energy utilization and user association based on BS coordination technique in a cluster. Provision of cell sleep approach is contemplated for further energy saving by turning off lightly loaded base stations (BSs) during low traffic arrivals. The proposed CoMP based load balancing algorithm proficiently manages resource block allocation to the new users and elevated the energy efficiency over the conventional location and traffic centric mechanisms. Extensive system-level simulations manifest that the suggested framework enables an adjustable trade-off between radio efficiency and EE, and saves 22% on-grid power consumption and increases EE index by 32%. Afterward, an exhaustive comparison of the proposed method with the existing schemes is pledged for further validation highlighting sustainable 5G wireless systems.

ACS Style

Abu Jahid; Mohammed H. Alsharif; Peerapong Uthansakul; Jamel Nebhen; Ayman A. Aly. Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks. IEEE Access 2021, 9, 1 -1.

AMA Style

Abu Jahid, Mohammed H. Alsharif, Peerapong Uthansakul, Jamel Nebhen, Ayman A. Aly. Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks. IEEE Access. 2021; 9 ():1-1.

Chicago/Turabian Style

Abu Jahid; Mohammed H. Alsharif; Peerapong Uthansakul; Jamel Nebhen; Ayman A. Aly. 2021. "Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks." IEEE Access 9, no. : 1-1.

Journal article
Published: 01 January 2021 in Computers, Materials & Continua
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ACS Style

Ikhlas Ahmad; Haris Dildar; Wasi Ur Rehman Khan; Sadiq Ullah; Shakir Ullah; Mahmoud A. Albreem; Mohammed H. Alsharif; Peerapong Uthansakul. Frequency Reconfigurable Antenna for Multi Standard Wireless and Mobile Communication Systems. Computers, Materials & Continua 2021, 68, 2563 -2578.

AMA Style

Ikhlas Ahmad, Haris Dildar, Wasi Ur Rehman Khan, Sadiq Ullah, Shakir Ullah, Mahmoud A. Albreem, Mohammed H. Alsharif, Peerapong Uthansakul. Frequency Reconfigurable Antenna for Multi Standard Wireless and Mobile Communication Systems. Computers, Materials & Continua. 2021; 68 (2):2563-2578.

Chicago/Turabian Style

Ikhlas Ahmad; Haris Dildar; Wasi Ur Rehman Khan; Sadiq Ullah; Shakir Ullah; Mahmoud A. Albreem; Mohammed H. Alsharif; Peerapong Uthansakul. 2021. "Frequency Reconfigurable Antenna for Multi Standard Wireless and Mobile Communication Systems." Computers, Materials & Continua 68, no. 2: 2563-2578.

Journal article
Published: 01 January 2021 in Computers, Materials & Continua
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ACS Style

Shakir Ullah; Sadiq Ullah; Inzamam Ahmad; Wasi Ur Rehman Khan; Toufeeq Ahmad; Usman Habib; Mahmoud A. Albreem; Mohammed H. Alsharif; Peerapong Uthansakul. Frequency Reconfigurable Antenna for Portable Wireless Applications. Computers, Materials & Continua 2021, 68, 3015 -3027.

AMA Style

Shakir Ullah, Sadiq Ullah, Inzamam Ahmad, Wasi Ur Rehman Khan, Toufeeq Ahmad, Usman Habib, Mahmoud A. Albreem, Mohammed H. Alsharif, Peerapong Uthansakul. Frequency Reconfigurable Antenna for Portable Wireless Applications. Computers, Materials & Continua. 2021; 68 (3):3015-3027.

Chicago/Turabian Style

Shakir Ullah; Sadiq Ullah; Inzamam Ahmad; Wasi Ur Rehman Khan; Toufeeq Ahmad; Usman Habib; Mahmoud A. Albreem; Mohammed H. Alsharif; Peerapong Uthansakul. 2021. "Frequency Reconfigurable Antenna for Portable Wireless Applications." Computers, Materials & Continua 68, no. 3: 3015-3027.

Journal article
Published: 01 January 2021 in Computers, Materials & Continua
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ACS Style

Mohammed H. Alsharif; Abu Jahid; Mahmoud A. Albreem; Peerapong Uthansakul; Jamel Nebhen; Khalid Yahya. Toward Optimal Cost-Energy Management Green Framework for Sustainable Future Wireless Networks. Computers, Materials & Continua 2021, 68, 1321 -1339.

AMA Style

Mohammed H. Alsharif, Abu Jahid, Mahmoud A. Albreem, Peerapong Uthansakul, Jamel Nebhen, Khalid Yahya. Toward Optimal Cost-Energy Management Green Framework for Sustainable Future Wireless Networks. Computers, Materials & Continua. 2021; 68 (1):1321-1339.

Chicago/Turabian Style

Mohammed H. Alsharif; Abu Jahid; Mahmoud A. Albreem; Peerapong Uthansakul; Jamel Nebhen; Khalid Yahya. 2021. "Toward Optimal Cost-Energy Management Green Framework for Sustainable Future Wireless Networks." Computers, Materials & Continua 68, no. 1: 1321-1339.

Journal article
Published: 01 January 2021 in Computers, Materials & Continua
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ACS Style

Arun Kumar; Mahmoud A. Albreem; Mohammed H. Alsharif; Abu Jahid; Peerapong Uthansakul; Jamel Nebhen. An Efficient Genetic Hybrid PAPR Technique for 5G Waveforms. Computers, Materials & Continua 2021, 67, 3283 -3292.

AMA Style

Arun Kumar, Mahmoud A. Albreem, Mohammed H. Alsharif, Abu Jahid, Peerapong Uthansakul, Jamel Nebhen. An Efficient Genetic Hybrid PAPR Technique for 5G Waveforms. Computers, Materials & Continua. 2021; 67 (3):3283-3292.

Chicago/Turabian Style

Arun Kumar; Mahmoud A. Albreem; Mohammed H. Alsharif; Abu Jahid; Peerapong Uthansakul; Jamel Nebhen. 2021. "An Efficient Genetic Hybrid PAPR Technique for 5G Waveforms." Computers, Materials & Continua 67, no. 3: 3283-3292.

Journal article
Published: 01 January 2021 in Computers, Materials & Continua
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ACS Style

Abu Jahid; Mohammed H. Alsharif; Raju Kannadasan; Mahmoud A. Albreem; Peerapong Uthansakul; Jamel Nebhen; Ayman A. Aly. Adaptive Cell Zooming Strategy Toward Next-Generation Cellular Networks with Joint Transmission. Computers, Materials & Continua 2021, 69, 81 -98.

AMA Style

Abu Jahid, Mohammed H. Alsharif, Raju Kannadasan, Mahmoud A. Albreem, Peerapong Uthansakul, Jamel Nebhen, Ayman A. Aly. Adaptive Cell Zooming Strategy Toward Next-Generation Cellular Networks with Joint Transmission. Computers, Materials & Continua. 2021; 69 (1):81-98.

Chicago/Turabian Style

Abu Jahid; Mohammed H. Alsharif; Raju Kannadasan; Mahmoud A. Albreem; Peerapong Uthansakul; Jamel Nebhen; Ayman A. Aly. 2021. "Adaptive Cell Zooming Strategy Toward Next-Generation Cellular Networks with Joint Transmission." Computers, Materials & Continua 69, no. 1: 81-98.

Journal article
Published: 01 January 2021 in Computers, Materials & Continua
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ACS Style

Mohammed H. Alsharif; Kannadasan Raju; Abu Jahid; Mahmoud A. Albreem; Peerapong Uthansakul; Jamel Nebhen; Venkatesan Chandrasekaran. Optimal Cost-Aware Paradigm for Off-Grid Green Cellular Networks in Oman. Computers, Materials & Continua 2021, 68, 2665 -2680.

AMA Style

Mohammed H. Alsharif, Kannadasan Raju, Abu Jahid, Mahmoud A. Albreem, Peerapong Uthansakul, Jamel Nebhen, Venkatesan Chandrasekaran. Optimal Cost-Aware Paradigm for Off-Grid Green Cellular Networks in Oman. Computers, Materials & Continua. 2021; 68 (2):2665-2680.

Chicago/Turabian Style

Mohammed H. Alsharif; Kannadasan Raju; Abu Jahid; Mahmoud A. Albreem; Peerapong Uthansakul; Jamel Nebhen; Venkatesan Chandrasekaran. 2021. "Optimal Cost-Aware Paradigm for Off-Grid Green Cellular Networks in Oman." Computers, Materials & Continua 68, no. 2: 2665-2680.

Journal article
Published: 01 January 2021 in Computers, Materials & Continua
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ACS Style

Changli Lu; Ming Zhao; Imran Khan; Peerapong Uthansakul. Prospect Theory based Hesitant Fuzzy Multi-Criteria Decision Making for Low Sulphur Fuel of Maritime Transportation. Computers, Materials & Continua 2021, 66, 1511 -1528.

AMA Style

Changli Lu, Ming Zhao, Imran Khan, Peerapong Uthansakul. Prospect Theory based Hesitant Fuzzy Multi-Criteria Decision Making for Low Sulphur Fuel of Maritime Transportation. Computers, Materials & Continua. 2021; 66 (2):1511-1528.

Chicago/Turabian Style

Changli Lu; Ming Zhao; Imran Khan; Peerapong Uthansakul. 2021. "Prospect Theory based Hesitant Fuzzy Multi-Criteria Decision Making for Low Sulphur Fuel of Maritime Transportation." Computers, Materials & Continua 66, no. 2: 1511-1528.

Journal article
Published: 04 September 2020 in Applied Sciences
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The limited caching capacity of the local cache enabled Base station (BS) decreases the cache hit ratio (CHR) and user satisfaction ratio (USR). However, Cache enabled multi-tier cellular networks have been presented as a promising candidate for fifth generation networks to achieve higher CHR and USR through densification of networks. In addition to this, the cooperation among the BSs of various tiers for cached data transfer, intensify its significance many folds. Therefore, in this paper, we consider maximization of CHR and USR in a multi-tier cellular network. We formulate a CHR and USR problem for multi-tier cellular networks while putting major constraints on caching space of BSs of each tier. The unsupervised learning algorithms such as K-mean clustering and collaborative filtering have been used for clustering the similar BSs in each tier and estimating the content popularity respectively. A novel scheme such as cluster average popularity based collaborative filtering (CAP-CF) algorithm is employed to cache popular data and hence maximizing the CHR in each tier. Similarly, two novel methods such as intra-tier and cross-tier cooperation (ITCTC) and modified ITCTC algorithms have been employed in order to optimize the USR. Simulations results witness, that the proposed schemes yield significant performance in terms of average cache hit ratio and user satisfaction ratio compared to other conventional approaches.

ACS Style

Fawad Ahmad; Ayaz Ahmad; Irshad Hussain; Peerapong Uthansakul; Suleman Khan. Cooperation Based Proactive Caching in Multi-Tier Cellular Networks. Applied Sciences 2020, 10, 6145 .

AMA Style

Fawad Ahmad, Ayaz Ahmad, Irshad Hussain, Peerapong Uthansakul, Suleman Khan. Cooperation Based Proactive Caching in Multi-Tier Cellular Networks. Applied Sciences. 2020; 10 (18):6145.

Chicago/Turabian Style

Fawad Ahmad; Ayaz Ahmad; Irshad Hussain; Peerapong Uthansakul; Suleman Khan. 2020. "Cooperation Based Proactive Caching in Multi-Tier Cellular Networks." Applied Sciences 10, no. 18: 6145.

Research article
Published: 30 June 2020 in Wireless Communications and Mobile Computing
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Wireless power transfer techniques to transfer energy have been widely adopted by wireless rechargeable sensor networks (WRSNs). These techniques are aimed at increasing network lifetime by transferring power to end devices. Under these wireless techniques, the incurred charging latency to replenish the sensor nodes is considered as one of the major issues in wireless sensor networks (WSNs). Existing recharging schemes rely on rigid recharging schedules to recharge a WSN deployment using a single global charger. Although these schemes charge devices, they are not on-demand and incur higher charging latency affecting the lifetime of a WSN. This paper proposes a collaborative recharging technique to offload recharging workload to local chargers. Experiment results reveal that the proposed scheme maximizes average network lifetime and has better average charging throughput and charging latency compared to a global charger-based recharging.

ACS Style

Azka Amin; Xi-Hua Liu; Muhammad Asim Saleem; Shagufta Henna; Taseer-Ul Islam; Imran Khan; Peerapong Uthansakul; Muhammad Zeshan Qurashi; Seyed Sajad Mirjavadi; Masoud Forsat. Collaborative Wireless Power Transfer in Wireless Rechargeable Sensor Networks. Wireless Communications and Mobile Computing 2020, 2020, 1 -13.

AMA Style

Azka Amin, Xi-Hua Liu, Muhammad Asim Saleem, Shagufta Henna, Taseer-Ul Islam, Imran Khan, Peerapong Uthansakul, Muhammad Zeshan Qurashi, Seyed Sajad Mirjavadi, Masoud Forsat. Collaborative Wireless Power Transfer in Wireless Rechargeable Sensor Networks. Wireless Communications and Mobile Computing. 2020; 2020 ():1-13.

Chicago/Turabian Style

Azka Amin; Xi-Hua Liu; Muhammad Asim Saleem; Shagufta Henna; Taseer-Ul Islam; Imran Khan; Peerapong Uthansakul; Muhammad Zeshan Qurashi; Seyed Sajad Mirjavadi; Masoud Forsat. 2020. "Collaborative Wireless Power Transfer in Wireless Rechargeable Sensor Networks." Wireless Communications and Mobile Computing 2020, no. : 1-13.

Journal article
Published: 23 April 2020 in Sensors
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In hostile and remote environments, such as mountains, forests or suburban areas, traditional communications may not be available, especially after a disaster, such as a flood, a forest fire or an earthquake. In these situations, the wireless networks may become congested or completely disrupted and may not be adequate to support the traffic generated by rescuers. It is also considered as the key tool in Corona Virus (COVID-19) battle. Moreover, the conventional approaches with fixed gateways may not work either, and this might lead to decoding errors due to the large distance between mobile nodes and the gateway. To avoid the decoding errors and improve the reliability of the messages, we propose to use intermediate Unmanned Aerial Vehicles (UAVs) to transfer messages from ground-based Long Range (LoRa) nodes to the remote base station (BS). Specifically, this UAV-enabled LoRa architecture is based on the ad hoc WiFi network, wherein, UAVs act as relays for the traffic generated between LoRa nodes and BS. To make the architecture more efficient, a distributed topology control algorithm is also proposed for UAVs. The algorithm is based on virtual spring forces and movement prediction technique that periodically updates the UAV topology to adapt to the movement of the ground-based LoRa nodes that move on the surface. The simulation results show the feasibility of the proposed approach for packet reception rate and average delay quality of service (QoS) metrics. It is observed that the mechanisms implemented in a UAV-enabled LoRa network effectively help to improve the packet reception rate with nominal buffer delays.

ACS Style

Omar A. Saraereh; Amer Alsaraira; Imran Khan; Peerapong Uthansakul. Performance Evaluation of UAV-Enabled LoRa Networks for Disaster Management Applications. Sensors 2020, 20, 2396 .

AMA Style

Omar A. Saraereh, Amer Alsaraira, Imran Khan, Peerapong Uthansakul. Performance Evaluation of UAV-Enabled LoRa Networks for Disaster Management Applications. Sensors. 2020; 20 (8):2396.

Chicago/Turabian Style

Omar A. Saraereh; Amer Alsaraira; Imran Khan; Peerapong Uthansakul. 2020. "Performance Evaluation of UAV-Enabled LoRa Networks for Disaster Management Applications." Sensors 20, no. 8: 2396.

Journal article
Published: 09 April 2020 in Sensors
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Faults and failures are familiar case studies in centralized and decentralized tracking systems. The processing of sensor data becomes more severe in the presence of faults/failures and/or noise. Effective schemes have been presented for decentralized systems, in the presence of faults only. In some practical scenarios of systems, there are certain interruptions in addition to these faults. These interruptions may occur in the form of noise. However it is expected that the decision about the sensor data is difficult in the presence of noise. This is because the noise adversely affects the communication amongst sensors and the processing unit. More complexity is expected when there are faults and noise simultaneously. To deal with this problem, in addition to existing fault detection and isolation schemes, the Kalman filter is employed. Here, a generic discussion is provided, which is equally applicable to other situations. This work addresses various faults in the presence of noise for decentralized tracking systems. Local single faults and multiple faults in the presence of noise are the core issues addressed in this paper. The proposed work is comprised of a general scenario for a decentralized tracking system followed by a case study of a target tracking scenario with and without noise. The presented schemes are also tested for different types of faults. The proposed work presents effective tracking in the presence of noise and faults. The results obtained demonstrate the acceptable performance of the scheme of this work.

ACS Style

Wasi Ullah; Irshad Hussain; Iram Shehzadi; Zahid Rahman; Peerapong Uthansakul. Tracking a Decentralized Linear Trajectory in an Intermittent Observation Environment. Sensors 2020, 20, 2127 .

AMA Style

Wasi Ullah, Irshad Hussain, Iram Shehzadi, Zahid Rahman, Peerapong Uthansakul. Tracking a Decentralized Linear Trajectory in an Intermittent Observation Environment. Sensors. 2020; 20 (7):2127.

Chicago/Turabian Style

Wasi Ullah; Irshad Hussain; Iram Shehzadi; Zahid Rahman; Peerapong Uthansakul. 2020. "Tracking a Decentralized Linear Trajectory in an Intermittent Observation Environment." Sensors 20, no. 7: 2127.

Journal article
Published: 20 March 2020 in Applied Sciences
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With the surge of ubiquitous demand for high-complexity and quality mobile Internet-of-things (IoT) services, new cooperative relaying paradigms have emerged. Motivated by the long and unpredictable end-to-end communication in relay-aided IoT networks, there is a need to introduce novel modulation schemes for very low bit error rate (BER) communications. In this paper, a practical modulation mapping scheme has been proposed to reduce decoding errors. Specifically, a hybrid automatic repeat request (HARQ) system has been used with an intermediate relay to transfer a message from a source to a destination. The design of modulation mapping has been optimized by first formulating the objective as the quadratic assignment problem. Later, the solution to the mapping problem is provided using an iterative search method. To validate the proposed solution, extensive simulations have been performed in MATLAB. The results show that the proposed solution outperforms the conventional relay retransmission and the heuristic design approaches.

ACS Style

Waleed Shahjehan; Shahid Bashir; Saleem Latteef Mohammed; Ahmed Bashar Fakhri; Adeniyi Adebayo Isaiah; Imran Khan; Peerapong Uthansakul. Efficient Modulation Scheme for Intermediate Relay-Aided IoT Networks. Applied Sciences 2020, 10, 2126 .

AMA Style

Waleed Shahjehan, Shahid Bashir, Saleem Latteef Mohammed, Ahmed Bashar Fakhri, Adeniyi Adebayo Isaiah, Imran Khan, Peerapong Uthansakul. Efficient Modulation Scheme for Intermediate Relay-Aided IoT Networks. Applied Sciences. 2020; 10 (6):2126.

Chicago/Turabian Style

Waleed Shahjehan; Shahid Bashir; Saleem Latteef Mohammed; Ahmed Bashar Fakhri; Adeniyi Adebayo Isaiah; Imran Khan; Peerapong Uthansakul. 2020. "Efficient Modulation Scheme for Intermediate Relay-Aided IoT Networks." Applied Sciences 10, no. 6: 2126.

Journal article
Published: 20 March 2020 in Applied Sciences
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Due to the rapid increase in human population, the use of energy in daily life is increasing day by day. One solution is to increase the power generation in the same ratio as the human population increase. However, that is usually not possible practically. Thus, in order to use the existing resources of energy efficiently, smart grids play a significant role. They minimize electricity consumption and their resultant cost through demand side management (DSM). Universities and similar organizations consume a significant portion of the total generated energy; therefore, in this work, using DSM, we scheduled different appliances of a university campus to reduce the consumed energy cost and the probable peak to average power ratio. We have proposed two nature-inspired algorithms, namely, the multi-verse optimization (MVO) algorithm and the sine-cosine algorithm (SCA), to solve the energy optimization problem. The proposed schemes are implemented on a university campus load, which is divided into two portions, morning session and evening session. Both sessions contain different shiftable and non-shiftable appliances. After scheduling of shiftable appliances using both MVO and SCA techniques, the simulations showed very useful results in terms of energy cost and peak to average ratio reduction, maintaining the desired threshold level between electricity cost and user waiting time.

ACS Style

Ibrar Ullah; Irshad Hussain; Peerapong Uthansakul; M. Riaz; M. Naeem Khan; Jaime Lloret. Exploiting Multi-Verse Optimization and Sine-Cosine Algorithms for Energy Management in Smart Cities. Applied Sciences 2020, 10, 2095 .

AMA Style

Ibrar Ullah, Irshad Hussain, Peerapong Uthansakul, M. Riaz, M. Naeem Khan, Jaime Lloret. Exploiting Multi-Verse Optimization and Sine-Cosine Algorithms for Energy Management in Smart Cities. Applied Sciences. 2020; 10 (6):2095.

Chicago/Turabian Style

Ibrar Ullah; Irshad Hussain; Peerapong Uthansakul; M. Riaz; M. Naeem Khan; Jaime Lloret. 2020. "Exploiting Multi-Verse Optimization and Sine-Cosine Algorithms for Energy Management in Smart Cities." Applied Sciences 10, no. 6: 2095.

Journal article
Published: 01 January 2020 in Computers, Materials & Continua
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One of the most effective technology for the 5G mobile communications is Device-to-device (D2D) communication which is also called terminal pass-through technology. It can directly communicate between devices under the control of a base station and does not require a base station to forward it. The advantages of applying D2D communication technology to cellular networks are: It can increase the communication system capacity, improve the system spectrum efficiency, increase the data transmission rate, and reduce the base station load. Aiming at the problem of co-channel interference between the D2D and cellular users, this paper proposes an efficient algorithm for resource allocation based on the idea of Q-learning, which creates multi-agent learners from multiple D2D users, and the system throughput is determined from the corresponding state-learning of the Q value list and the maximum Q action is obtained through dynamic power for control for D2D users. The mutual interference between the D2D users and base stations and exact channel state information is not required during the Q-learning process and symmetric data transmission mechanism is adopted. The proposed algorithm maximizes the system throughput by controlling the power of D2D users while guaranteeing the quality-of-service of the cellular users. Simulation results show that the proposed algorithm effectively improves system performance as compared with existing algorithms.

ACS Style

Azka Amin; Xi-Hua Liu; Imran Khan; Peerapong Uthansaku; Masoud Forsat; Seyed Sajad Mirjavadi. A Robust Resource Allocation Scheme for Device-to-Device Communications Based on Q-Learning. Computers, Materials & Continua 2020, 65, 1487 -1505.

AMA Style

Azka Amin, Xi-Hua Liu, Imran Khan, Peerapong Uthansaku, Masoud Forsat, Seyed Sajad Mirjavadi. A Robust Resource Allocation Scheme for Device-to-Device Communications Based on Q-Learning. Computers, Materials & Continua. 2020; 65 (2):1487-1505.

Chicago/Turabian Style

Azka Amin; Xi-Hua Liu; Imran Khan; Peerapong Uthansaku; Masoud Forsat; Seyed Sajad Mirjavadi. 2020. "A Robust Resource Allocation Scheme for Device-to-Device Communications Based on Q-Learning." Computers, Materials & Continua 65, no. 2: 1487-1505.

Journal article
Published: 01 January 2020 in Computers, Materials & Continua
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Non-orthogonal multiple access (NOMA) is one of the key 5G technology which can improve spectrum efficiency and increase the number of user connections by utilizing the resources in a non-orthogonal manner. NOMA allows multiple terminals to share the same resource unit at the same time. The receiver usually needs to configure successive interference cancellation (SIC). The receiver eliminates co-channel interference (CCI) between users and it can significantly improve the system throughput. In order to meet the demands of users and improve fairness among them, this paper proposes a new power allocation scheme. The objective is to maximize user fairness by deploying the least fairness in multiplexed users. However, the objective function obtained is non-convex which is converted into convex form by utilizing the optimal Karush-Kuhn-Tucker (KKT) constraints. Simulation results show that the proposed power allocation scheme gives better performance than the existing schemes which indicates the effectiveness of the proposed scheme.

ACS Style

Li Jianzhong; Mei Dexiang; Deng Dong; Imran Khan; Peerapong Uthansakul. Proportional Fairness-based Power Allocation Algorithm for Downlink NOMA 5G Wireless Networks. Computers, Materials & Continua 2020, 65, 1571 -1590.

AMA Style

Li Jianzhong, Mei Dexiang, Deng Dong, Imran Khan, Peerapong Uthansakul. Proportional Fairness-based Power Allocation Algorithm for Downlink NOMA 5G Wireless Networks. Computers, Materials & Continua. 2020; 65 (2):1571-1590.

Chicago/Turabian Style

Li Jianzhong; Mei Dexiang; Deng Dong; Imran Khan; Peerapong Uthansakul. 2020. "Proportional Fairness-based Power Allocation Algorithm for Downlink NOMA 5G Wireless Networks." Computers, Materials & Continua 65, no. 2: 1571-1590.

Journal article
Published: 01 January 2020 in Computers, Materials & Continua
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ACS Style

Changli Lu; Ming Zhao; Imran Khan; Peerapong Uthansakul. Financing Strategy of Low-Carbon Supply Chain with Capital Constraint under Cap-and-Trade Regulation. Computers, Materials & Continua 2020, 66, 437 -455.

AMA Style

Changli Lu, Ming Zhao, Imran Khan, Peerapong Uthansakul. Financing Strategy of Low-Carbon Supply Chain with Capital Constraint under Cap-and-Trade Regulation. Computers, Materials & Continua. 2020; 66 (1):437-455.

Chicago/Turabian Style

Changli Lu; Ming Zhao; Imran Khan; Peerapong Uthansakul. 2020. "Financing Strategy of Low-Carbon Supply Chain with Capital Constraint under Cap-and-Trade Regulation." Computers, Materials & Continua 66, no. 1: 437-455.

Journal article
Published: 23 November 2019 in Electronics
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Non-orthogonal multiple access (NOMA) has become the key technology in the future 5G wireless networks. It can achieve multi-user multiplexing in the transmit power domain by allocating different power, which can effectively improve the system capacity and spectral efficiency. Aiming at the problem of high computational complexity and improving system capacity in non-orthogonal multiple access (NOMA) based on orthogonal frequency division multiple access (OFDMA) for 5G wireless cellular networks, this paper proposes an improved low complexity radio resource allocation algorithm for user grouping and power allocation optimization. The optimization model is established with the goal of maximizing system capacity. Through the step-by-step optimization idea, the complex non-convex optimization problem is decomposed into two sub-problems to be solved separately. Firstly, all users are grouped based on the greedy method, and then the power allocation is performed on the sub-carriers of the fixed group. Simulation results show that the proposed algorithm has better system capacity than the existing state-of-the-art algorithms and reduced complexity performance.

ACS Style

Omar A. Saraereh; Amer Alsaraira; Imran Khan; Peerapong Uthansakul. An Efficient Resource Allocation Algorithm for OFDM-Based NOMA in 5G Systems. Electronics 2019, 8, 1399 .

AMA Style

Omar A. Saraereh, Amer Alsaraira, Imran Khan, Peerapong Uthansakul. An Efficient Resource Allocation Algorithm for OFDM-Based NOMA in 5G Systems. Electronics. 2019; 8 (12):1399.

Chicago/Turabian Style

Omar A. Saraereh; Amer Alsaraira; Imran Khan; Peerapong Uthansakul. 2019. "An Efficient Resource Allocation Algorithm for OFDM-Based NOMA in 5G Systems." Electronics 8, no. 12: 1399.