Non-Orthogonal Multiple Access for Ultra-Dense Cellular Networks with Base Station Sleeping

Garima Chopra, Yoghitha Ramamoorthi, Abhinav Kumar, Ankit Dubey
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引用次数: 1

Abstract

The high throughput demand from mobile subscribers can be satisfied by utilizing small cell aided ultra dense networks (UDNs). However, excessive deployment of such cells in UDNs results in significant increase in energy consumption of the network. This profusion in the consumption of energy can be handled by appropriately switching off some of the small cells during low data demand. This base station sleeping (BSS) cannot be performed alone as it has been shown that that the BSS adversely affects the network’s coverage and throughput. To compensate for the loss in throughput due to BSS, we utilize non-orthogonal multiple access (NOMA) in this paper. The main objective of introducing NOMA along with BSS is to serve the users under the switched-off base station by pairing them as NOMA users within nearby base stations. Hence, we formulate the resource allocation in the downlink as an optimization problem for NOMA and BSS. We solve this problem for a given NOMA pairing and BSS. Through numerical results, we show that the NOMA combined with BSS results in improved network throughput and energy efficiency as compared to the benchmark system at the cost of reduced network coverage.
基站休眠下超密集蜂窝网络的非正交多址
利用小蜂窝辅助超密集网络(udn)可以满足移动用户的高吞吐量需求。然而,在udn中过度部署此类蜂窝将导致网络能耗的显著增加。这种能源消耗的过剩可以通过在低数据需求期间适当地关闭一些小单元来处理。这种基站休眠(BSS)不能单独执行,因为已有研究表明,BSS会对网络的覆盖和吞吐量产生不利影响。为了弥补由于BSS而造成的吞吐量损失,本文采用了非正交多址(NOMA)。引入NOMA和BSS的主要目的是通过将关闭基站下的用户配对为附近基站内的NOMA用户,为其提供服务。因此,我们将下行链路的资源分配表述为NOMA和BSS的优化问题。我们针对给定的NOMA配对和BSS解决了这个问题。通过数值结果表明,与基准系统相比,NOMA结合BSS可以提高网络吞吐量和能源效率,但代价是网络覆盖率降低。
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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