Energy-Efficient Resource Allocation for Small-Cell Networks：A Stable Queue Perspective

作     者：Hongxin Wei Wei Feng Yunzhou Li Shidong Zhou 

作者机构：State Key Laboratory on Microwave and Digital CommunicationsTsinghua National Laboratory Information Science and Technology Department of Electronic Engineering Tsinghua University Beijing 100084 China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2017年第14卷第10期

页      面：142-150页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0839[工学-网络空间安全] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：partially supported by National Basic Research Program of China (2013CB329002) National Natural Science Foundation of China (61631013) The National High Technology Research and Development Program of China(2014AA01A703) Science Fund for Creative Research Groups of NSFC (61321061) National Major Project (2017ZX03001011) International Science and Technology Cooperation Program (2014DFT10320) National Science Foundation of China (61701457 \& 61771286) Tsinghua-Qualcomm Joint Research Program Huawei Innovation Research Program 

主　　题：细胞技术 用户分配 能量有效 队列 网络 信道状态信息 启发式算法 稳定 

摘      要：The small-cell technology is promising for spectral-efficiency enhancement. However, it usually requires a huge amount of energy consumption. In this paper, queue state information and channel state information are jointly utilized to minimize the time average of overall energy consumption for a multi-carrier small-cell network, where the inter-cell interference is an intractable problem. Based on the Lyapunov optimization theory, the problem could be solved by dynamically optimizing the problem of user assignment, carrier allocation and power allocation in each time slot. As the optimization problem is NP-hard, we propose a heuristic iteration algorithm to solve it. Numerical results verify that the heuristic algorithm offers an approximate performance as the brute-force algorithm. Moreover, it could bring down the overall energy consumption to different degrees according to the variation of traffic load. Meanwhile, it could achieve the same sum rate as the algorithm which focuses on maximizing system sum rate.