OFDM子频带上基于noma的物联网最优功率分配

Prasheel Thakre, Sanjay Pokle
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引用次数: 1

摘要

随着5G技术的不断扩展,物联网设备的密度急剧增加。提高5G系统的吞吐量现在非常重要。在物联网背景下,非正交多址技术和超密集网络由于具有空间域和功率域的多路复用能力而备受关注。为了提高系统吞吐量,本文将非正交多址技术与超密集网络技术相结合,考虑多基站正交频分复用非正交多址超宽带网络。首先创建了网络模型和通道模型。因此,在总功率条件下,提出了下行传输速率最大化问题。然后,将该问题分为器件分组和子带功率分配两个子问题进行求解,并利用凸优化理论对这两个子问题构建最佳功率分配策略。最后,进行了数值模拟,验证了所提出的最优下行功率分配方法的效率,与正交多址相比,系统的总吞吐量大大提高。
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Optimal power allocation for NOMA-based Internet of things over OFDM sub bands
As a result of continued expansion of 5G technology, the density of IoT devices has increased dramatically.Increasing the throughput of 5G systems is now extremely important. Non-orthogonal multiple access technologiesand Ultra-dense networks have lately attracted a lot of attention in the context of Internet of Things networksbecause to their capacity to multiplex from the space domain and power domain. In order to boost systemthroughput, this article integrates non-orthogonal multiple access technology with ultra-dense network technology,taking into consideration orthogonal frequency division multiplexing non-orthogonal multiple access-based ultradensenetworks with several base stations. The network model and the channel model were created first. As aresult, under the condition of total power, the downlink transmission rate maximization problem is formulated.Then, the problem is divided into two subproblems to solve: device grouping and sub-band power distributionand built the best power allocation strategies by using convex optimization theory to these subproblems. Finally,numerical simulations are undertaken to validate the efficiency of proposed optimal downlink power distributionapproach and the total throughput of the system has substantially enhanced as compared to orthogonal Multipleaccess.
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来源期刊
International Journal of Next-Generation Computing
International Journal of Next-Generation Computing COMPUTER SCIENCE, THEORY & METHODS-
自引率
66.70%
发文量
60
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