Article
Engineering, Electrical & Electronic
Brena Kelly Sousa Lima, Rui Dinis, Daniel Benevides da Costa, Rodolfo Oliveira, Marko Beko
Summary: In this paper, we investigate the joint user pairing and power coefficient allocation problem for UAV systems using non-orthogonal multiple access (NOMA). Through reinforcement learning and the multi-armed bandit framework, we propose a solution based on the Upper Confidence Bound method to maximize system throughput and meet user quality of service requirements. Experimental results show that the proposed scheme quickly identifies the best action and outperforms other methods.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Rui Jiang, Caiming Sun, Xinke Tang, Long Zhang, Hongjie Wang, Aidong Zhang
Summary: In this article, an asymmetric clipped optical orthogonal frequency division multiplexing and non-orthogonal multiple access (ACO-OFDM-NOMA) scheme is proposed for the uplink UVLC system to achieve energy saving and support massive device connectivity. A low-complexity iterative algorithm is developed to jointly optimize user-subcarrier pairing and power allocation in order to maximize system utility. Simulation results demonstrate that the proposed algorithm outperforms the greedy algorithm and traditional ACO-OFDMA system in terms of system utility.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Automation & Control Systems
Zhixin Liu, Changjian Liang, Yazhou Yuan, Kit Yan Chan, Xinping Guan
Summary: This paper proposes an optimal resource allocation algorithm to maximize the total system rate in NOMA. By using the monotonic discrimination method to determine the optimal power allocation of outer users and optimal user pairing, introducing the successive convex approximation method to transform the non-convex problem into a convex one, and utilizing the Lagrangian dual method for optimal solution, followed by utilizing the standard Hungarian algorithm for optimal subcarrier matching.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2021)
Article
Multidisciplinary Sciences
Dong Qin
Summary: This paper presents an adaptive power allocation and subcarrier pairing algorithm for spectrum sharing in decode and forward cognitive radio networks. The algorithm aims to maximize the sum rate of the secondary network while keeping the interference to the primary network below an acceptable level.
Article
Computer Science, Information Systems
Chaoying Yuan, Wei Ni, Kezhong Zhang, Jingpeng Bai, Jun Shen, Abbas Jamalipour
Summary: This article investigates secure communications in multiuser NOMA downlink systems, aiming to achieve the maximum sum secrecy rate while satisfying users' data requirements and power constraint. The problem is decomposed into power allocation and user pairing subproblems, which are solved effectively using linear programming relaxation and the barrier algorithm. Simulation results demonstrate that our approach outperforms existing alternatives significantly in terms of the sum secrecy rate and computational complexity.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Pavan Reddy, Abhinav Kumar
Summary: This letter analyzes the performance of intelligent reflecting surface (IRS) assisted downlink non orthogonal multiple access (NOMA) systems in the presence of imperfect phase compensation. Adaptive user pairing algorithm and power allocation algorithms are proposed to maximize network throughput. Extensive simulations show that the proposed algorithms outperform existing algorithms significantly in the presence of phase imperfections.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Computer Science, Information Systems
Minh Tri Nguyen, Long Bao Le
Summary: In this work, we study the joint optimization of multiple UAVs' trajectories, power allocation, user-UAV association, and user pairing for UAV-assisted wireless networks using NOMA for uplink communications. The goal is to minimize energy consumption while ensuring successful data transmission. We propose an iterative algorithm to solve the optimization problem, leveraging the BCD method and SCA method. Numerical results demonstrate the efficiency of our proposed algorithm.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Irfan Azam, Muhammad Basit Shahab, Soo Young Shin
Summary: A user pairing and power allocation technique is proposed for NOMA transmission in cellular-connected mobile UAVs and ground users to minimize energy consumption and guarantee transmission rates. The proposed energy-efficient pairing technique effectively fulfills the QoS requirements of both GUs and AUs in a network with performance gain in terms of energy efficiency, outage probability, and pairing complexity compared to conventional techniques.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Ahmed Nasser, Osamu Muta, Haris Gacanin, Maha Elsabrouty
Summary: In this study, a novel low-complexity user pairing and power allocation technique utilizing compressive sensing theory for non-orthogonal multiple access systems is proposed. By exploiting the inherent sparsity property among users, a near-optimal solution can be obtained, and simulation results validate the effectiveness of the proposed idea in terms of sum-rate and reduced complexity compared to state-of-the-art schemes.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Information Systems
Mohamed S. Elbakry, Amira A. Amer, Tawfik Ismail
Summary: This research introduces cutting-edge advancements in non-orthogonal multiple access (NOMA) technology, including user localization algorithms, system performance optimization algorithms, and dynamic power allocation schemes. These algorithms and schemes enhance system capacity, reduce interference, and improve quality of service (QoS).
Article
Engineering, Electrical & Electronic
Dingzhu Wen, Ki-Jun Jeon, Mehdi Bennis, Kaibin Huang
Summary: This paper discusses the implementation of partitioned edge learning (PARTEL) in a wireless network, utilizing distributed computation resources for training large-scale artificial intelligence models. The study introduces a strategy that jointly optimizes parameter allocation, sub-channel allocation, and transmission power to reduce learning latency.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Chemistry, Analytical
SeongJun Hwang, Jiho Seo, Jaehyun Park, Hyungju Kim, Byung Jang Jeong
Summary: This paper proposes a joint MIMO OFDM radar and communication system to achieve high-resolution radar imaging and communication performance optimization. It includes a compressive sensing-based imaging algorithm and subcarrier allocation strategy for maximizing achievable rate without sacrificing radar imaging performance.
Article
Computer Science, Information Systems
Caihong Kai, Xiaowei Meng, Linsheng Mei, Wei Huang
Summary: This paper investigates the joint uplink-downlink resource allocation in time-varying D2D underlay wireless cellular networks. It proposes an effective joint uplink-downlink SAPA scheme based on distributed deep reinforcement learning (DRL) and model-free double-deep Q-network (DDQN) algorithm to solve the joint optimization problem. Numerical results show that the proposed method quickly converges to near-optimal performance and has low computational complexity, making it suitable for large-scale D2D underlay wireless cellular networks.
Review
Engineering, Electrical & Electronic
Tanuja Dogra, Manoranjan Rai Bharti
Summary: In this paper, a comprehensive overview of user pairing and power allocation techniques for NOMA-based VLC systems is presented. Various user pairing schemes and power allocation strategies are discussed, along with their pros and cons and analysis based on performance parameters. The paper also highlights further research issues and challenges in this field.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Sharareh Kiani, Shahram ShahbazPanahi, Min Dong, Gary Boudreau, Majid Bavand
Summary: The study focuses on multi-carrier two-way relaying networks, utilizing filter-and-forward relaying technique and multi-carrier schemes to suppress inter-symbol-interference caused by frequency-selectivity. Power allocation optimization is conducted to minimize total transmit power, and two approaches are proposed for optimization. Results show that proposed techniques outperform existing solutions and are within 3 dB of a lower bound for minimum transmit power.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
