Title
Energy-efficient game-theoretical random access for M2M communications in overlapped cellular networks.
Abstract
The unprecedented growth of machine-to-machine (M2M) devices has brought a heavy burden to traditional cellular networks. In this paper, we focus on the overload problem caused by massive connections of M2M devices in overlapped cellular networks. We formulate the joint base station (BS) selection and power allocation optimization problem for each M2M device as a noncooperative access game. The utility function of each M2M device is described as the success probability of random access weighted by the energy efficiency (EE). We propose an iterative energy-efficient game-theoretical random access algorithm, in which each M2M device searches its optimal strategies in turn until no M2M device is able to improve its individual utility with a unilateral deviation. Numerical results demonstrate that significant performance enhancements on both the delay and energy consumption can be achieved simultaneously.
Year
DOI
Venue
2017
10.1016/j.comnet.2017.06.019
Computer Networks
Keywords
Field
DocType
Energy efficiency,Noncooperative game theory,Random access,M2M communications,Multi-cellular networks
Base station,Efficient energy use,Computer science,Computer network,Cellular network,Optimization problem,Energy consumption,Distributed computing,Random access
Journal
Volume
Issue
ISSN
129
P2
1389-1286
Citations 
PageRank 
References 
2
0.37
30
Authors
7
Name
Order
Citations
PageRank
Zhenyu Zhou158559.76
Junhao Feng2724.29
Yunjian Jia36713.92
Shahid Mumtaz4878110.36
Kazi Mohammed Saidul Huq531724.86
Jonathan Rodriguez661168.60
Di Zhang7649.71