绿色C-RAN:设计与能源优化的联合方法

Song Guo, Deze Zeng, Lin Gu
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引用次数: 0

摘要

在过去的几十年里,无线网络经历了快速的发展。人们提出了各种先进的无线技术。为了满足日益增长的多样化通信需求,提出了将基带处理单元(BBU)与远程无线电头(RRH)解耦的云无线电接入网(C-RAN)。另一方面,人们普遍认识到,由于蜂窝网络的大规模部署,造成了巨大的能源消耗。因此,降低网络能耗成为一个备受关注的话题。针对传统电网的局限性,倡导以分布式能源和双向能源共享为重点的智能电网为无线网络供电。在本文中,我们的动机是研究RRH-BBU联合和能源共享问题,以实现绿色能源供电的C-RAN中棕色能源使用的最小化。将该问题表述为混合整数线性规划(MILP)形式。为了解决MILP求解的计算复杂性,提出了一种两阶段启发式多项式时间算法,并通过广泛的仿真研究对其进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Green C-RAN: A Joint Approach to the Design and Energy Optimization
Wireless networks have experienced fast development in the past decades. Various advancing wireless technologies have been proposed. To catch up with the ever-increasing diverse communication needs, cloud-radio access networks (C-RAN), which decouples the baseband processing unit (BBU) from the remote radio head (RRH), has been proposed. On the other hand, it has been widely recognized that huge energy consumption has been raised due to the massive deployment of cellular networks. Lowering the network energy consumption therefore becomes a widely concerned topic. To combat the limitations in traditional power grid, smart grid, with the emphasis on distributed energy resource (DER) and bidirectional energy sharing, is advocated to power the wireless networks. In this paper, we are motivated to investigate a joint RRH-BBU association and energy sharing problem towards brown energy usage minimization in green energy powered C-RAN. The problem is formulated into a mixed integer linear programming (MILP) form. To address the computation complexity of solving MILP, a two-phase heuristic polynomial- time algorithm is proposed and evaluated via extensive simulation based studies.
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