Resource allocation for sum-rate maximization in NOMA-based generalized spatial modulation |
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| Affiliation: | 1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China;2. Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing, 400065, China;3. Department of Electronic and Electrical Engineering, Brunel University London, London, UB8-3PH, UK |
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| Abstract: | The Multiple-Input Multiple-Output (MIMO) Non-Orthogonal Multiple Access (NOMA) based on Spatial Modulation (SM-MIMO-NOMA) system has been proposed to achieve better spectral efficiency with reduced radio frequency chains comparing to the traditional MIMO-NOMA system. To improve the performance of SM-MIMO-NOMA systems, we extend them to generalized spatial modulation scenarios while maintaining moderate complexity and fairness. In this paper, system spectral efficiency and transmission quality improvements are proposed by investigating a sum-rate maximization resource allocation problem that is subject to the total transmitted power, user grouping, and resource block constraints. To solve this non-convex and difficult problem, a graph-based user grouping strategy is proposed initially to maximize the mutual gains of intragroup users. An auxiliary-variable approach is then adopted to transform the power allocation subproblem into a convex one. Simulation results demonstrate that the proposed algorithm has better performance in terms of bit error rate and sum rates. |
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| Keywords: | Resource allocation NOMA Spatial modulation Power allocation User grouping |
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