Adaptive Power and Resource Allocation Strategies for Green Radio
Adaptive Power and Resource Allocation Strategies for Green Radio
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DOI：
10.1109/glocom.2011.6134422
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发表时间：
2011-12
期刊：
影响因子：
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通讯作者：
Congzheng Han;S. Armour
中科院分区：
文献类型：
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作者：
Congzheng Han;S. Armour
本文提出了一些跨物理（PHY）层和媒体访问控制（MAC）层的关键无线电资源管理策略，以减少基站能耗，包括高能效链路自适应（LA）、多用户多样性的利用以及以带宽换取能源效率。通过共同利用这些无线资源管理策略，提出了一种多用户自适应功率和资源分配算法，以减轻基站的功率需求，同时保持相同的服务水平。调度算法在 LTE 下行链路模拟器中针对各种流量负载条件进行评估。结果表明，与传统的非能量感知资源分配方案相比，所提出的算法实现了显着的节能。
This paper presents a number of key radio resource management strategies across physical (PHY) and medium access control (MAC) layers for reducing base station energy consumption including power efficient link adaptation (LA), exploitation of multi-user diversity and trading bandwidth for energy efficiency. By collectively taking advantage of these radio resource management strategies, a multi-user adaptive power and resource allocation algorithm is proposed to ease the power requirements of a base station, whilst maintaining the same levels of service. The scheduling algorithm is evaluated within a LTE downlink simulator for various traffic load conditions. The results show that the proposed algorithm achieves a significant energy saving over a conventional non-energy aware resource allocation scheme.