scholarly journals User Pairing, Link Selection and Power Allocation for Cooperative NOMA Hybrid VLC/RF Systems

Author(s):  
Mohanad Obeed ◽  
Hayssam Dahrouj ◽  
Anas M. Salhab ◽  
Salam A. Zummo ◽  
Mohamed-Slim Alouini
Author(s):  
Brena K. S. Lima ◽  
Daniel Benevides da Costa ◽  
Rodolfo Oliveira ◽  
Rui Dinis ◽  
Marko Beko ◽  
...  

Author(s):  
Jingrui Guo ◽  
Xiangyang Wang ◽  
Jingwen Yang ◽  
Jianhai Zheng ◽  
Bingqiang Zhao

2020 ◽  
Vol 10 (17) ◽  
pp. 5892 ◽  
Author(s):  
Zuhura J. Ali ◽  
Nor K. Noordin ◽  
Aduwati Sali ◽  
Fazirulhisyam Hashim ◽  
Mohammed Balfaqih

Non-orthogonal multiple access (NOMA) plays an important role in achieving high capacity for fifth-generation (5G) networks. Efficient resource allocation is vital for NOMA system performance to maximize the sum rate and energy efficiency. In this context, this paper proposes optimal solutions for user pairing and power allocation to maximize the system sum rate and energy efficiency performance. We identify the power allocation problem as a nonconvex constrained problem for energy efficiency maximization. The closed-form solutions are derived using Karush–Kuhn–Tucker (KKT) conditions for maximizing the system sum rate and the Dinkelbach (DKL) algorithm for maximizing system energy efficiency. Moreover, the Hungarian (HNG) algorithm is utilized for pairing two users with different channel condition circumstances. The results show that with 20 users, the sum rate of the proposed NOMA with optimal power allocation using KKT conditions and HNG (NOMA-PKKT-HNG) is 6.7% higher than that of NOMA with difference of convex programming (NOMA-DC). The energy efficiency with optimal power allocation using DKL and HNG (NOMA-PDKL-HNG) is 66% higher than when using NOMA-DC.


2020 ◽  
Vol 9 (6) ◽  
pp. 866-870 ◽  
Author(s):  
Muhammad Bilal Janjua ◽  
Daniel Benevides da Costa ◽  
Huseyin Arslan

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 13654-13664 ◽  
Author(s):  
Yan Wu ◽  
Qinghai Yang ◽  
Daeyoung Park ◽  
Kyung Sup Kwak

2021 ◽  
Author(s):  
Zhixin Zhao ◽  
Dong Wang ◽  
Hongwei Zhang ◽  
Haitao Sang

Abstract IThis paper investigates the design of the joint user pairing and power allocation scheme with transmission mode switching (TMS) in downlink multiple-input-single-output (MISO) systems. Firstly, the closed-form expressions of the boundary of achievable rate region of two candidate transmission modes, i.e., non-orthogonal multiple access based maximum ratio transmission (NOMA-MRT) and minimum mean square error beamforming (MMSE-BF), are obtained. By obtaining the outer boundary of the union of the achievable rate regions of the two transmission modes, an adaptive switching method is developed to achieve a larger rate region. Secondly, based on the idea that the solution to the problem of weighted sum rate (WSR) optimization must be on the boundary of the achievable rate region, the optimal solutions to the problem of WSR optimization for NOMA-MRT and MMSE-BF are obtained for the two-user case, respectively. Subsequently, by exploiting the optimal solutions aforementioned for two transmission modes and the high efficiency of TMS, a suboptimal User pairing and Power Allocation algorithm (JUPA) is proposed to further improve sum-rate performance for the multi-user case. Compared with the Exhaustive Search based user Pairing and Power Allocation algorithm (ES-PPA), the proposed JUPA can enjoy a much lower computational complexity and only suffer a slight sum-rate performance loss, whereas outperforms other traditional schemes. Finally, numerical results are provided to validate the analyses and the proposed algorithms.


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