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The unmanned aerial vehicle (UAV) enabled mobile edge computing (MEC) system is attracting a lot of attentions for the potential of low latency and low transmission energy consumption, due to the advantages of high mobility and easy deployment. It has been widely applied to provide communication and computing services, especially in Internet of Things (IoT). However, there are still some challenges in the UAV-enabled MEC system. Firstly, the endurance of the UAV is limited and further impacts the performance of the system. Secondly, mobile devices are battery-powered and the batteries of some devices are hard to change. Therefore, in this paper, a UAV-enabled MEC system in which the UAV is empowered to have computing capability and provides tasks offloading service is studied. The total energy consumption of the UAV-enabled system, which includes the energy consumption of the UAV and the energy consumption of the ground users, is minimized under the constraints of the UAV’s energy budget, the number of each task’s bits, the causality of the data and the velocity of the UAV. The bits allocation of uploading data, computing data, downloading data and the trajectory of the UAV are jointly optimized with the goal of minimizing the total energy consumption. Moreover, a two-stage alternating algorithm is proposed to solve the non-convex formulated problem. Finally, the simulation results show the superiority of the proposed scheme compared with other benchmark schemes. Finally, the performance of the proposed scheme is demonstrated under different settings.
Linpei Li; Xiangming Wen; Zhaoming Lu; Qi Pan; Wenpeng Jing And Zhiqun Hu. Energy-Efficient UAV-Enabled MEC System: Bits Allocation Optimization and Trajectory Design. Sensors 2019, 19, 4521 .
AMA StyleLinpei Li, Xiangming Wen, Zhaoming Lu, Qi Pan, Wenpeng Jing And Zhiqun Hu. Energy-Efficient UAV-Enabled MEC System: Bits Allocation Optimization and Trajectory Design. Sensors. 2019; 19 (20):4521.
Chicago/Turabian StyleLinpei Li; Xiangming Wen; Zhaoming Lu; Qi Pan; Wenpeng Jing And Zhiqun Hu. 2019. "Energy-Efficient UAV-Enabled MEC System: Bits Allocation Optimization and Trajectory Design." Sensors 19, no. 20: 4521.
Qi Pan; Xiangming Wen; Zhaoming Lu; Wenpeng Jing; Haijun Zhang. Autonomous and adaptive congestion control for machine-type communication in cellular network. International Journal of Distributed Sensor Networks 2019, 15, 1 .
AMA StyleQi Pan, Xiangming Wen, Zhaoming Lu, Wenpeng Jing, Haijun Zhang. Autonomous and adaptive congestion control for machine-type communication in cellular network. International Journal of Distributed Sensor Networks. 2019; 15 (4):1.
Chicago/Turabian StyleQi Pan; Xiangming Wen; Zhaoming Lu; Wenpeng Jing; Haijun Zhang. 2019. "Autonomous and adaptive congestion control for machine-type communication in cellular network." International Journal of Distributed Sensor Networks 15, no. 4: 1.
With the new advancements in flight control and integrated circuit (IC) technology, unmanned aerial vehicles (UAVs) have been widely used in various applications. One of the typical application scenarios is data collection for large-scale and remote sensor devices in the Internet of things (IoT). However, due to the characteristics of massive connections, access collisions in the MAC layer lead to high power consumption for both sensor devices and UAVs, and low efficiency for the data collection. In this paper, a dynamic speed control algorithm for UAVs (DSC-UAV) is proposed to maximize the data collection efficiency, while alleviating the access congestion for the UAV-based base stations. With a cellular network considered for support of the communication between sensor devices and drones, the connection establishment process was analyzed and modeled in detail. In addition, the data collection efficiency is also defined and derived. Based on the analytical models, optimal speed under different sensor device densities is obtained and verified. UAVs can dynamically adjust the speed according to the sensor device density under their coverages to keep high data collection efficiency. Finally, simulation results are also conducted to verify the accuracy of the proposed analytical models and show that the DSC-UAV outperforms others with the highest data collection efficiency, while maintaining a high successful access probability, low average access delay, low block probability, and low collision probability.
Qi Pan; Xiangming Wen; Zhaoming Lu; Linpei Li; Wenpeng Jing. Dynamic Speed Control of Unmanned Aerial Vehicles for Data Collection under Internet of Things. Sensors 2018, 18, 3951 .
AMA StyleQi Pan, Xiangming Wen, Zhaoming Lu, Linpei Li, Wenpeng Jing. Dynamic Speed Control of Unmanned Aerial Vehicles for Data Collection under Internet of Things. Sensors. 2018; 18 (11):3951.
Chicago/Turabian StyleQi Pan; Xiangming Wen; Zhaoming Lu; Linpei Li; Wenpeng Jing. 2018. "Dynamic Speed Control of Unmanned Aerial Vehicles for Data Collection under Internet of Things." Sensors 18, no. 11: 3951.
Machine type communications (MTC) have been envisaged to play a key role within the future 5G cellular network. To handle the massive machine type communications (mMTC) and alleviate congestion of the radio access network (RAN), the group paging (GP) scheme was proposed by the third generation partnership project (3GPP). However, its performance quickly decreases in the face of massive simultaneous channel accesses. In this paper, we propose a two phase cluster-based group paging (CBGP) scheme. Firstly, owing to the advantages of low cost, high access capacity and handy deployment, IEEE 802.11ah is introduced to increase the capability of coping with massive access attempts. And the separation of inner-cluster data collection and header-based data transmission phases greatly alleviates access congestion of cellular networks, reducing the access delay and increasing the successful access probability for mMTC devices. Besides, we also derive mathematical models of the CBGP scheme in terms of the successful access probability and average access delay. Moreover, effects from different numbers of clusters on the performance of the CBGP scheme are investigated and the optimal number of clusters is also derived, adaptive to different access scales. At last, numerical results are presented to validate the accuracy of our analytical models, demonstrate the effectiveness of the proposed CBGP scheme and verify the optimal number of clusters, providing insights for the coming 5G cellular system design.
Qi Pan; Xiangming Wen; Zhaoming Lu; Wenpeng Jing; Linpei Li. Cluster-Based Group Paging for Massive Machine Type Communications Under 5G Networks. IEEE Access 2018, 6, 64891 -64904.
AMA StyleQi Pan, Xiangming Wen, Zhaoming Lu, Wenpeng Jing, Linpei Li. Cluster-Based Group Paging for Massive Machine Type Communications Under 5G Networks. IEEE Access. 2018; 6 (99):64891-64904.
Chicago/Turabian StyleQi Pan; Xiangming Wen; Zhaoming Lu; Wenpeng Jing; Linpei Li. 2018. "Cluster-Based Group Paging for Massive Machine Type Communications Under 5G Networks." IEEE Access 6, no. 99: 64891-64904.
LoRaWAN is a popular technology in Low Power Wide Area Networks(LPWANs). It can be applied to the smart agriculture, smart building, logistics tracking, disaster monitoring, and so on. The Class A terminal device in LoRaWAN adopts the pure ALOHA access mode. It has the problems of low channel utilization, high access delay and high collision probability. In this paper, we mainly study the access process of Class A devices in LoRaWAN, and derive the mathematical analytical model. To solve this problem, we propose a enhanced access mechanism, dynamic backoff mechanism. The backoff window size would be adaptively adjusted according to the access user attempts. The results show that our model is correct and the proposed scheme can effectively improve the successful access probability for LoRaWAN nodes.
Pengyu Yuan; Xiangming Wen; Zhaoming Lu; Qi Pan. Dynamic Backoff Based Access Mechanism for LoRaWAN Class A. 2018 IEEE International Conference on Energy Internet (ICEI) 2018, 219 -223.
AMA StylePengyu Yuan, Xiangming Wen, Zhaoming Lu, Qi Pan. Dynamic Backoff Based Access Mechanism for LoRaWAN Class A. 2018 IEEE International Conference on Energy Internet (ICEI). 2018; ():219-223.
Chicago/Turabian StylePengyu Yuan; Xiangming Wen; Zhaoming Lu; Qi Pan. 2018. "Dynamic Backoff Based Access Mechanism for LoRaWAN Class A." 2018 IEEE International Conference on Energy Internet (ICEI) , no. : 219-223.
Machine-type communication (MTC) is a promising technology to constitute a significant part of the fifth-generation (5G) systems. Massive MTC is considered to be one of the usage scenarios of 5G. However, large accesses of massive devices would lead to serious overload and deteriorate the service performance of Human-to-Human communication (H2H). Group paging is one of the solutions to alleviate the Radio Access Network (RAN) congestion. When the group scale is large, group paging with pre-backoff can effectively alleviate the RAN overload problem. But the existing group paging schemes have an apparent defect that they can not ensure the QoS requirements for devices in different applications. In contrast with the existing group paging schemes, we introduce a differentiated QoS provisioning strategy named pre- backoff based random access with priority (PBRAP). Specifically, We classify the MTC devices into three priority categorizations according to their QoS requirements. The random access slots would be allocated to different MTC classes according to their priorities. The proposed scheme can alleviate the RAN overload as well as guarantee the the QoS requirements. The efficiency of the proposed scheme is verified through computer simulation.
Linpei Li; Xiangming Wen; Zhaoming Lu; Qi Pan; Wenpeng Jing. Pre-Backoff Based Random Access with Priority for 5G Machine-Type Communication. 2017 IEEE Globecom Workshops (GC Wkshps) 2017, 1 -6.
AMA StyleLinpei Li, Xiangming Wen, Zhaoming Lu, Qi Pan, Wenpeng Jing. Pre-Backoff Based Random Access with Priority for 5G Machine-Type Communication. 2017 IEEE Globecom Workshops (GC Wkshps). 2017; ():1-6.
Chicago/Turabian StyleLinpei Li; Xiangming Wen; Zhaoming Lu; Qi Pan; Wenpeng Jing. 2017. "Pre-Backoff Based Random Access with Priority for 5G Machine-Type Communication." 2017 IEEE Globecom Workshops (GC Wkshps) , no. : 1-6.
To offload the increase of the mobile data traffic, the heterogeneous network offloading is regarded as one of the most promising techniques to reduce the workload on the existing cellular network. A novel heterogeneous network system, which integrates the power line carrier (PLC) network and the cellular network, is proposed. The proposed system employs the PLC network instead of the traditional WiFi network to offload the mobile data. Then, the throughput of the PLC network and the cellular network are calculated. Moreover, We formulate the mobile data offloading problem as a maximization problem of the throughout in the PLC network. Therefore, the attractor selection algorithm is employed to obtain the maximization throughput of the proposed system. Finally, the numerical results show that the proposed system providing the better throughput and stability, compared with the On-the-spot offloading and the WiFi offloading system.
Huan Wu; Xiangming Wen; Zhaoming Lu; Qi Pan. Mobile data offloading under attractor selection in heterogeneous networks. 2017 International Symposium on Wireless Communication Systems (ISWCS) 2017, 164 -169.
AMA StyleHuan Wu, Xiangming Wen, Zhaoming Lu, Qi Pan. Mobile data offloading under attractor selection in heterogeneous networks. 2017 International Symposium on Wireless Communication Systems (ISWCS). 2017; ():164-169.
Chicago/Turabian StyleHuan Wu; Xiangming Wen; Zhaoming Lu; Qi Pan. 2017. "Mobile data offloading under attractor selection in heterogeneous networks." 2017 International Symposium on Wireless Communication Systems (ISWCS) , no. : 164-169.
Machine Type Communication (MTC) in the cellular network with ubiquitous coverage and various applications has played an important role in our daily life. For security, MTC devices need to follow the Evolved Packet System-Authentication and Key Agreement (EPS-AKA) protocol to guarantee the secure requirements in the machine-to-machine (M2M) communications. However, a huge number of terminal devices tried to complete the authentication procedure simultaneously, which would bring a severe congestion and overload for the network. In this paper, we proposed an efficient, available and scalable group controller-based authentication and key agreement (GC-AKA) protocol for devices to ensure the safety in the long term evolution (LTE) network. Through a design of group controller and simplicity of devices’ work in the authentication process, it would be more secure and efficient for resource-constrained devices in the communications between device and the cellular network, while providing simultaneous authentications for a mass of devices without congestion and overload in the network.
Qi Pan; Xiangming Wen; Zhaoming Lu; Huan Wu. Group Controller-based Authentication for Machine Type Communication Under LTE Network. DEStech Transactions on Engineering and Technology Research 2016, 1 .
AMA StyleQi Pan, Xiangming Wen, Zhaoming Lu, Huan Wu. Group Controller-based Authentication for Machine Type Communication Under LTE Network. DEStech Transactions on Engineering and Technology Research. 2016; (ICMITE2016):1.
Chicago/Turabian StyleQi Pan; Xiangming Wen; Zhaoming Lu; Huan Wu. 2016. "Group Controller-based Authentication for Machine Type Communication Under LTE Network." DEStech Transactions on Engineering and Technology Research , no. ICMITE2016: 1.
Because of the limited resources on radio access channels of third generation partnership projection (3GPP) network, one of the most challenging tasks posted by 3GPP cellular-based machine type communications (MTC) is congestion due to massive requests for connection to radio access network (RAN). In this paper, an overload control algorithm in 3GPP RAN is proposed, which proactively disperses the simultaneous access attempts in evenly distributed time window. Through periodic reservation strategy, massive access requests of MTC devices are dispersed in time, which reduces the probability of confliction of signaling. By the compensation and prediction mechanism, each device can communicate with MTC server with dynamic load of air interface. Numerical results prove that proposed method makes MTC applications friendly to 3GPP cellular network.
Zhaoming Lu; Qi Pan; Luhan Wang; Xiangming Wen. Overload Control for Signaling Congestion of Machine Type Communications in 3GPP Networks. PLOS ONE 2016, 11, e0167380 .
AMA StyleZhaoming Lu, Qi Pan, Luhan Wang, Xiangming Wen. Overload Control for Signaling Congestion of Machine Type Communications in 3GPP Networks. PLOS ONE. 2016; 11 (12):e0167380.
Chicago/Turabian StyleZhaoming Lu; Qi Pan; Luhan Wang; Xiangming Wen. 2016. "Overload Control for Signaling Congestion of Machine Type Communications in 3GPP Networks." PLOS ONE 11, no. 12: e0167380.