GCIRM:利用无线接入网络的智能资源管理方案实现绿色通信

IF 5.3 2区 计算机科学 Q1 TELECOMMUNICATIONS
Ashu Taneja;Shalli Rani;Rajesh Kumar Dhanaraj;Lewis Nkenyereye
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引用次数: 0

摘要

随着移动设备和联网终端的激增,移动数据流量也出现了前所未有的激增。大规模机器型通信导致的能源消耗不断增加是无线接入网络(RAN)面临的主要挑战。因此,能源优化的移动网络对于未来可持续的绿色通信非常重要。本文通过提出一种主动 IRS 辅助框架,提出了一种提高 RAN 效率的有效方法。多个有源 IRS 通过在传输前放大入射信号来协助用户通信。系统功耗通过建议的功耗模型确定,并将能源开销降至最低。此外,还通过建议的算法在网络中实现资源管理。在最大放大功率的约束下,针对 IRS 功率预算、输出功率和振幅增益的不同值,获得了系统速率和能耗性能。结果表明,最大放大功率 $P_{max}$ 为 20 dBm,可实现 16.2 比特/秒/赫兹的最大速率。此外,当 P_{max}$ 从 0 dBm 变为 10 dBm 时,能效增益为 20.79%。最后,还对带资源控制的主动 IRS 系统和被动 IRS 系统进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GCIRM: Toward Green Communication With Intelligent Resource Management Scheme for Radio Access Networks
With the proliferation of mobile devices and connected terminals, the mobile data traffic has witnessed an unprecedented upsurge. The increasing energy consumption owing to the massive machine type communication is the main challenge in radio access networks (RANs). Thus, energy optimized mobile networks are very important for sustainable future green communication. This paper presents an efficient approach for improving the efficiency of RAN by proposing an active-IRS aided framework. The multiple active IRSs assist the user communication by amplifying the incident signals before transmission. The system power usage is determined through a proposed power consumption model with minimum energy overhead. Further, resource management is enabled in the network through a proposed algorithm. The system rate and energy performance is obtained for different values of IRS power budget, output power and amplitude gain subject to the constraint of maximum amplification power. It is observed that maximum amplification power $P_{max}$ of 20 dBm yields maximum achievable rate of 16.2 bits/s/Hz. Also, the gain in energy efficiency is 20.79% when $P_{max}$ is changed from 0 dBm to 10 dBm. In the end, the comparison of active IRS system and passive IRS system with resource control is also carried out.
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来源期刊
IEEE Transactions on Green Communications and Networking
IEEE Transactions on Green Communications and Networking Computer Science-Computer Networks and Communications
CiteScore
9.30
自引率
6.20%
发文量
181
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