Joint Downlink and Uplink Resource Allocation for Energy-Efficient Carrier Aggregation

被引:63
|
作者
Yu, Guanding [1 ]
Chen, Qimei [1 ]
Yin, Rui [2 ]
Zhang, Huazi [1 ]
Li, Geoffrey Ye [3 ]
机构
[1] Zhejiang Univ, Dept Informat Sci & Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
[2] Zhejiang Gongshang Univ, Coll Informat & Elect Engn, Hangzhou 310018, Zhejiang, Peoples R China
[3] Georgia Inst Technol, Sch ECE, Atlanta, GA 30332 USA
基金
中国博士后科学基金; 美国国家科学基金会;
关键词
Energy efficiency; bandwidth and power allocation; sum-of-ratios programming; carrier aggregation; time division duplex; WIRELESS COMMUNICATIONS; NETWORKS; OFDMA; LTE; MANAGEMENT; TUTORIAL; SYSTEMS; DESIGN;
D O I
10.1109/TWC.2015.2403327
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, joint energy-efficient resource allocation for both the base station and users is studied for time division duplex (TDD) systems with carrier aggregation (CA). We aim at balancing the energy efficiency (EE) between downlink and uplink, as well as the EEs among individual users, by joint bandwidth and power allocation on each carrier component (CC). We formulate the optimization problem into maximizing the weighted summation of EEs for the base station and different users, where the weights are used to reflect the levels of importance. The objective function of the problem is a sum of several fractional functions, therefore, nonlinear sum-of-ratios programming needs to be used to solve it, which has not been exploited in resource allocation problems yet. Specifically, a novel transformation is performed to formulate an equivalent but better tractable problem, based on which we develop an iterative algorithm to find the global optimum of the considered problem. Numerical results validate the feasibility, fast convergence, and flexibility of the proposed algorithm in terms of EE balancing.
引用
收藏
页码:3207 / 3218
页数:12
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