Queue-aware energy savings in multi-carrier small-cell networks
WEI Hongxin1, WANG Yanmin2, LI Yunzhou1, ZHOU Shidong1
1. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China;
2. Academy of Electronics and Information Technology, China Electronics Technology Group Corporation, Beijing 100041, China
Abstract：The small-cell technology is one of the key technologies in cellular communications that should provide high system capacity and high energy efficiency. Although the energy consumption of one single base station diminishes in small cell networks (SCNs), the total energy consumption still increases along with the growth in traffic, as the number of base stations increases quickly. Queue state information (QSI) could be utilized for user scheduling, carrier allocation, and power allocation to enhance system performance. In this study, QSI is used to minimize the time average of the total power expenditure in multi-carrier SCNs, where no inter-cell interference exists, while satisfying the traffic demand. The problem is formulated according to Lyapunov optimization theory into a mixed integer programming problem. An optimal algorithm is given for user scheduling, carrier allocation, and power allocation in each slot. Simulations verify that the algorithm reduces the energy consumption with a similar sum rate as the algorithm aiming to maximize the system sum rate.
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2017, Vol. 57 
