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Subcarrier and power allocation scheme for downlink OFDM-NOMA systems

机译:下行OFDM-NOMA系统的子载波和功率分配方案

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In this study, the authors investigate the resource allocation (RA) problem for the downlink orthogonal frequency division multiplexing based non-orthogonal multiple access (OFDM-NOMA) system. The RA problem is decomposed into two subproblems of subcarrier allocation (SA) and power allocation (PA). For the SA, a user grouping based greedy algorithm is proposed under the assumption that power is uniformly distributed among all the selected users. For the PA, the authors propose the iterative water-filling and specific user rate maximising criterion with minimum rate constraints (iterative WF + SURMC-MRC) scheme to jointly consider the PA problem among the selected users on one subcarrier and the PA problem among subcarriers. The simulation results show that the spectral efficiency performance of the proposed iterative WF + SURMC-MRC scheme outperforms those of the (non-iterative) WF + SURMC-MRC scheme and the uniform distribution (UD) + SURMC-MRC scheme. Moreover, the iterative WF + SURMC-MRC scheme has advantages in resisting against the user overloading compared with the (non-iterative) WF + SURMC-MRC scheme.
机译:在这项研究中,作者研究了基于下行链路正交频分复用的非正交多址(OFDM-NOMA)系统的资源分配(RA)问题。 RA问题被分解为子载波分配(SA)和功率分配(PA)的两个子问题。对于SA,假设功率在所有选定用户之间均匀分布,则提出了一种基于用户分组的贪婪算法。对于功率放大器,作者提出了一种具有最小速率约束的迭代注水和特定用户速率最大化准则(迭代WF + SURMC-MRC)方案,以共同考虑一个子载波上所选用户之间的功率放大器问题和子载波之间的功率放大器问题。 。仿真结果表明,所提出的迭代WF + SURMC-MRC方案的频谱效率性能优于(非迭代)WF + SURMC-MRC方案和均匀分布(UD)+ SURMC-MRC方案。而且,与(非迭代)WF + SURMC-MRC方案相比,迭代WF + SURMC-MRC方案在抵抗用户过载方面具有优势。

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