Minimizing Base Station Power Consumption
Minimizing Base Station Power Consumption
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DOI：
10.1109/jsac.2014.141210
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发表时间：
2013-07
影响因子：
16.4
通讯作者：
Hauke Holtkamp;G. Auer;Samer Bazzi;H. Haas
中科院分区：
文献类型：
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作者：
Hauke Holtkamp;G. Auer;Samer Bazzi;H. Haas
我们提出了一种新的无线资源管理算法，旨在最小化多用户 MIMO-OFDM 的基站供电功耗。给定建立射频发射功率和电源功耗之间关系的基站功率模型，该算法优化了三种基本节能机制之间的权衡：天线自适应、功率控制和不连续传输。该算法包括两个步骤：a) 第一步根据平均信道条件估计睡眠模式持续时间、资源份额和天线配置；b) 第二步利用发射机处的瞬时信道知识来了解频率选择性时变信道。该算法确定发射天线的数量、每个资源单元和空间信道的射频发射功率、不连续发射时隙的数量以及多用户资源分配，从而最小化电源消耗。仿真结果表明，所提出的算法能够将电源功耗降低 25% 至 40%，具体取决于系统负载。
We propose a new radio resource management algorithm which aims at minimizing the base station supply power consumption for multi-user MIMO-OFDM. Given a base station power model that establishes a relation between the RF transmit power and the supply power consumption, the algorithm optimizes the trade-off between three basic power-saving mechanisms: antenna adaptation, power control and discontinuous transmission. The algorithm comprises two steps: a) the first step estimates sleep mode duration, resource shares and antenna configuration based on average channel conditions and b) the second step exploits instantaneous channel knowledge at the transmitter for frequency selective time-variant channels. The proposed algorithm finds the number of transmit antennas, the RF transmission power per resource unit and spatial channel, the number of discontinuous transmission time slots, and the multi-user resource allocation, such that supply power consumption is minimized. Simulation results indicate that the proposed algorithm is capable of reducing the supply power consumption by between 25% and 40%, dependend on the system load.