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A Novel NOMA Solution With RIS Partitioning
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DOI：10.1109/JSTSP.2021.3127725.png)
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Reconfigurable intelligent surface (RIS) empowered communications with non-orthogonal multiple access (NOMA) has recently become an appealing research direction for next-generation wireless communications. In this paper, we propose a novel NOMA solution with RIS partitioning, where we aim to enhance the spectrum efficiency by improving the ergodic rate of all users, and to maximize the user fairness. In the proposed system, we distribute the physical resources among users such that the base station (BS) and RIS are dedicated to serve different clusters of users. Furthermore, we formulate an RIS partitioning optimization problem to slice the RIS elements between the users such that the user fairness is maximized. The formulated problem is shown to be a non-convex and non-linear integer programming (NLIP) problem with a combinatorial feasible set, which is challenging to solve. Therefore, we exploit the structure of the problem to bound its feasible set and obtain a sub-optimal solution by sequentially applying three efficient search algorithms. Furthermore, we derive exact and asymptotic expressions for the outage probability. Simulation results clearly indicate the superiority of the proposed system over the considered benchmark systems in terms of ergodic sum-rate, outage probability, and user fairness performance.
Keyword:
NOMA
Resource management
Probability
Power system reliability
Interference
Array signal processing
Optimization
Reconfigurable intelligent surface (RIS)
non-orthogonal multiple access (NOMA)
user fairness
sum-rate
期刊
IF:
13.7
论文数:
1.9K
被引数:
1.1W
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分享收藏Optimal Minimum Euclidean Distance-Based Precoder for NOMA With Finite-Alphabet Inputs.png)
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IEEE ACCESSIF3.6
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