Optimal Resource Allocation for Data Offloading in Energy-Harvesting Small-Cell Networks

Yutong Yan, L. Qian, Yuan Wu, Weidang Lu
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Abstract

Offloading data traffic from the conventional macro- cell base stations to densely deployed small-cell base stations (SBSs) has been emerging as a promising technique to support the explosion of data traffic with reduced energy consumption and improved quality of service provision. In this paper, we study the joint spectrum allocation and power allocation problem for the data offloading in energy-harvesting downlink small-cell networks. First, we formulate the resource allocation problem under the revenue maximization criterion, which is expressed as the difference between the total utility across users and the total power payment. By proving the convexity of the problem, we can compute the solution efficiently. Numerical results show that the energy-efficiency can be improved while alleviating the burden of macro-cell base station through using the resource allocation scheme proposed for data offloading.
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能量收集小蜂窝网络中数据卸载的最优资源分配
将数据流量从传统的宏蜂窝基站卸载到密集部署的小蜂窝基站(SBSs)已经成为一种有前途的技术,可以在降低能耗和提高服务提供质量的同时支持数据流量的爆炸式增长。本文研究了能量采集下行链路小蜂窝网络中数据卸载的联合频谱分配和功率分配问题。首先,我们建立了收益最大化准则下的资源分配问题,收益最大化准则表示为用户之间的总效用与总电力支付之差。通过证明问题的凸性,我们可以有效地计算出解。数值结果表明,采用本文提出的数据卸载资源分配方案可以在减轻宏蜂窝基站负担的同时提高能效。
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