底层认知无线电中LDS-OFDM分组功率分配

2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2019-10-01 DOI:10.1109/ICITEED.2019.8929964

Linda Meylani, Iswahyudi Hidayat, A. Kurniawan, M. S. Arifianto

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引用次数: 1

摘要

低密度特征正交频分复用(LDS-OFDM)是一种很有前途的多址技术，可以提高频谱利用率。在LDS-OFDM中，每个子载波可以被多个用户访问，但仅限于dc用户。每个用户将其符号散布在若干dv子载波中。本文提出了一种基于底层认知无线电的LDS-OFDM的功率分配方法，通过对每个子载波中每个用户的功率权重进行管理来提高每个辅助用户的吞吐量。仿真结果表明，与等功率加权算法相比，本文提出的算法可以提高SU的吞吐量。对分配资源进行分组会影响中断概率和SU的吞吐量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Power Allocation for Group LDS-OFDM in Underlay Cognitive Radio

Low density signature orthogonal frequency division multiplexing (LDS-OFDM) is a promising multiple access that increases spectrum utilization. In LDS-OFDM, each subcarrier can be accessed by more than one user, however, it is limited to dc users. Each user spreads its symbols in a number of dv subcarriers. In this paper, we propose power allocation for LDS-OFDM in underlay cognitive radio to increase throughput for each secondary user (SU) by manage the power weighting of each user in every subcarrier. The simulation results confirm that our proposed algorithm can increase the throughput of SU compare to equal power weighting. Grouping on allocation resource will affect the outage probability and SU’s throughput.

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2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)

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