Non-orthogonal multiple access (NOMA) and ambient backscatter communication (AmBC) have gained a lot of interest as key enabling technologies in wireless communications systems. NOMA is a key player for enhancing spectrum utilization either by multiplexing multiple messages for the same user or allowing multi-users access, while AmBC shows great potential for enhancing both spectrum and energy efficiency for battery-limited devices. In this paper, the performance of a downlink NOMA multiplexing based symbiotic-radio ( $SR$ ) AmBC system is analyzed over Nakagami-\textit{m} fading channels. New closed-form expressions for the exact and asymptotic outage probabilities are derived. Moreover, we analyze the diversity order and the influence of the system parameters on the outage performances. Besides, we proposed a power allocation optimization technique to achieve an outage-optimal performance. Through representative Monte-Carlo simulations, we have verified the analytical results. Finally, we compared the performance of the proposed system against a benchmark OMA-based system.
5 April 2022 in IEEE Transactions on Vehicular Technology
The mixture of wireless and power line communications (PLC) is vital for implementing new applications in smart grid and vehicular communications. In this work, we investigate the performance of non-orthogonal multiple access (NOMA) based dual-hop hybrid communication systems with decode-and-forward relay. The wireless channel is characterized by Nakagami-\textit{m} fading under an additive white gaussian noise (AWGN), while the PLC channels are characterized by Log-normal distribution with Bernoulli Gaussian noise including both background and impulsive noise components. New closed-form expressions for the outage probability, the asymptotic outage probability and ergodic capacity are derived and verified via extensive representative simulations. For more insights on the outage performance, we analyze the diversity order. Additionally, we proposed a power allocation optimization technique to achieve an outage-optimal performance. The results show that the system outage probability improves as the impulsive noise index and the arrival probability of the impulsive component of the PLC additive noise decrease, while their effect is negligible on the ergodic capacity. Finally, the performance of the proposed system is compared against a benchmark OMA-based system.
The hybrid combination between underwater optical wireless communication (UOWC) and radio frequency (RF) is a vital demand for enabling communication through the air–water boundary. On the other hand, non-orthogonal multiple access (NOMA) is a key technology for enhancing system performance in terms of spectral efficiency. In this paper, we propose a downlink NOMA-based dual-hop hybrid RF-UOWC with decode and forward (DF) relaying. The UOWC channels are characterized by exponential-generalized Gamma (EGG) fading, while the RF channel is characterized by Rayleigh fading. Exact closed-form expressions of outage probabilities and approximated closed-form expressions of ergodic capacities are derived, for each NOMA individual user and the overall system as well, under the practical assumption of imperfect successive interference cancellation (SIC). These expressions are then verified via Monte-Carlo simulation for various underwater scenarios. To gain more insight into the system performance, we analyzed the asymptotic outage probabilities and the diversity order. Moreover, we formulated and solved a power allocation optimization problem to obtain an outage-optimal performance. For the sake of comparison and to highlight the achievable gain, the system performance is compared against a benchmark orthogonal multiple access (OMA)-based system.
18 September 2023 in IEEE Transactions on Vehicular Technology
Achieving low-power wide coverage and good spectral efficiency is one of the main objectives of next-generation wireless communication. Non-Orthogonal Multiple Access (NOMA)-assisted Ambient Backscatter Communication (AmBC) has proven to be capable of offering great spectral efficiency at low power. In contrast, Intelligent Reflecting Surface (IRS) has proven to be capable of improving coverage. Consequently, efforts have been made to integrate those technologies. However, thorough model development and analysis are necessary to benefit from such coexistence. In this study, we analyze the performance of a Power Domain (PD)-NOMA-enabled base station acting as a source in a multiple-user IRS-assisted AmBC system. The main approach we take is to use PD-NOMA to send a signal from the base station to the IRS that has both modulated (with a primary message) and unmodulated carrier components. In addition to relaying the primary message, the IRS will then send its (secondary) message to user devices utilizing the unmodulated carrier and Binary Phase-shift Keying (BPSK). Then, using a Band Pass Filter (BPF) and Successive Interference Cancellation (SIC), the user devices decode their respective messages from the received signals. To obtain further understanding, we derived novel closed-form expressions for the Outage Probabilities (OPs) and also provided asymptotic assessments of the OPs. Our results show that raising the IRS element count enhances the OPs. Additionally, devices' outage performance is impaired due to the imperfections in SIC. Furthermore, we found that a device's OP rises as the power allocation factor increases. Lastly, we found that the NOMA-based IRS-assisted system outperforms OMA-based systems in terms of outages.
24 July 2024 in IEEE Open Journal of the Communications Society
Vehicle-to-infrastructure (V2I) communication facilitates seamless interaction between vehicles and the surrounding infrastructure. Recently, there has been a notable surge in research interest in ambient backscatter communications (AmBC), primarily due to its ability to enable battery-free communication. Concurrently, reconfigurable intelligent surfaces (RISs) have garnered attention as a promising technology, particularly for the advancement of cellular systems beyond 5G. Additionally, non-orthogonal multiple access (NOMA) assumes a pivotal role in enhancing spectrum utilization. This paper proposes a new RIS-enhanced NOMA-AmBC system where all channels are characterized by Nakagami-m fading and with the main objective of assessing the performance of such system. To this end, new closed-form expressions for the outage probabilities (OPs) were derived under the practical assumption of imperfect successive interference cancellation (SIC). In addition, to gain a deep insight into the system’s performance, we derived asymptotic, upper-bound, and lower-bound expressions for the OPs. Furthermore, we proposed a power allocation optimization problem to achieve an outage-optimal performance. To validate the analytical results, we conducted extensive investigations using Monte Carlo simulations, which indicates a high degree of consistency. Moreover, our results underscore the remarkable performance improvements achieved by the RIS-assisted AmBC-NOMA system when compared to both the traditional benchmark AmBC-NOMA system and the RIS-assisted orthogonal multiple access (AmBCOMA) counterparts.
11 February 2025 in IEEE Wireless Communications Letters
We investigate enhancing the sum secrecy rate (SSR) of a reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication (ISAC) system in a multi-cluttered environment with multiple eavesdropping targets. We formulate an SSR maximization problem by jointly optimizing the ISAC base station (BS) beamformer, the RIS phase shifts, and artificial noise (AN) covariance matrix used by the ISAC BS to disrupt the eavesdropping targets. A novel low-complexity manifold-based approach is proposed to solve this problem, incorporating signal-to-clutter-plus-noise ratio (SCNR) and signal-to-interference-plus-noise ratio (SINR) as constraints for sensing and communications, respectively. The proposed alternating optimization (AO) algorithm on Riemannian manifolds achieves high secrecy rates with a reduced complexity when compared to classical optimization approaches.