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.
| Original language | English |
|---|---|
| Pages (from-to) | 493-501 |
| Number of pages | 9 |
| Journal | Computer Networks |
| Volume | 129 |
| DOIs | |
| Publication status | Published - 2017 Dec 24 |
| Externally published | Yes |
Keywords
- Energy efficiency
- M2M communications
- Multi-cellular networks
- Noncooperative game theory
- Random access
ASJC Scopus subject areas
- Computer Networks and Communications
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Energy-efficient game-theoretical random access for M2M communications in overlapped cellular networks. / Zhou, Zhenyu; Feng, Junhao; Jia, Yunjian; Mumtaz, Shahid; Huq, Kazi Mohammed Saidul; Rodriguez, Jonathan; Zhang, Di.
In: Computer Networks, Vol. 129, 24.12.2017, p. 493-501.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Energy-efficient game-theoretical random access for M2M communications in overlapped cellular networks
AU - Zhou, Zhenyu
AU - Feng, Junhao
AU - Jia, Yunjian
AU - Mumtaz, Shahid
AU - Huq, Kazi Mohammed Saidul
AU - Rodriguez, Jonathan
AU - Zhang, Di
N1 - Funding Information: This work was supported in part by the Beijing Natural Science Foundation under Grant 4174104; in part by the National Science Foundation of China under Grant 61601181 and Grant 61601180 ; in part by the National Key Research and Development Program of China (Grant No. 2016YFE0121100); in part by the Scientic Research Foundation of the Ministry of Education of China-China Mobile (Grant No. MCM20150102); in part by the Fundamental Research Funds for the Central Universities under Grant 2016MS17 and Grant 2017MS13; in part by the Beijing Outstanding Young Talent under Grant Number 2016000020124G081. Zhenyu Zhou received his M.E. and Ph.D degree from Waseda University, Tokyo, Japan in 2008 and 2011 respectively. From April 2012 to March 2013, he was the chief researcher at Department of Technology, KDDI, Tokyo, Japan. From March 2013 to now, he is an Associate Professor at School of Electrical and Electronic Engineering, North China Electric Power University, China. He is also a visiting scholar with Tsinghua-Hitachi Joint Lab on Environment-Harmonious ICT at University of Tsinghua, Beijing from 2014 to now. He served as workshop co-chair for IEEE ISADS 2015, session chair for IEEE Globecom 2014, and TPC member for IEEE Globecom 2015, ACM Mobimedia 2015, IEEE Africon 2015, etc. He received the ”Young Researcher Encouragement Award” from IEEE Vehicular Technology Society in 2009. His research interests include green communications and smart grid. He is a member of IEEE, IEICE, and CSEE. Junhao Feng is currently working towards the M.S. degree at North China Electric Power University, China. His research interests include resource allocation, interference management, and energy management in D2D communications. Yunjian Jia received his B.S. degree from Nankai University, China, and his M.E. and Ph.D. degrees in Engineering from Osaka University, Japan, in 1999, 2003 and 2006, respectively. From 2006 to 2012, he was with Central Research Laboratory, Hitachi, Ltd., where he engaged in research and development on wireless networks, and also contributed to LTE/LTE-Advanced standardization in 3GPP. He is now a professor at the College of Communication Engineering, Chongqing University, Chongqing, China. He is the author of more than 60 published papers, and 30 granted patents. His research interests include radio access technologies, mobile networks, and IoT. Dr. Jia has won several prizes from industry and academia including the IEEE Vehicular Technology Society Young Researcher Encouragement Award, the IEICE Paper Award, the Yokosuka Research Park R&D Committee YRP Award, and the Top 50 Young Inventors of Hitachi. Moreover, he was a research fellowship award recipient of International Communication Foundation in 2004, and Telecommunications Advancement Foundation Japan in 2005. Shahid Mumtaz received the M.Sc. degree from the Blekinge Institute of Technology, Sweden, and the Ph.D. degree from the University of Aveiro, Portugal. He is currently a Senior Research Engineer with the Instituto de Telecomunicações Pólo de Aveiro, Portugal, where he is involved in EU funded projects. His research interests include MIMO techniques, multi-hop relaying communication, cooperative techniques, cognitive radios, game theory, energy efficient framework for 4G, position information-assisted communication, and joint PHY and MAC layer optimization in LTE standard. He has authored several conferences, journals, and books publications. Kazi Mohammed Saidul Huq (M’16) received the bachelor’s degree in computer science and engineering from the Ahsanullah University of Science and Technology, Bangladesh, in 2003, the master’s degree in electrical engineering from the Blekinge Institute of Technology, Sweden, in 2006, and the Ph.D. degree in electrical engineering from the University of Aveiro, Portugal, in 2014. He is a Senior Research Engineer with the Instituto de Telecomunicações, Aveiro, Portugal. His research activities include 5G paradigm, backhaul, D2D communication, energy-efficient wireless communication, radio resource management, and MAC layer scheduling. He has authored several publications, including papers in conferences and journals, and book chapters. Jonathan Rodriquez (SM’13) received the master’s degree in electronic and electrical engineering and the Ph.D. degree from the University of Surrey (U.K.), in 1998 and 2004, respectively. In 2005, he became a Researcher with the Instituto de Telecomunicações, Portugal, where he was a member of the Wireless Communications Scientific Area. In 2008, he became a Senior Researcher where he established the 4TELL Research Group targeting next generation mobile networks with key interests on green communications, cooperation, and electronic circuit design. He has served as a Project Coordinator for major international research projects, including Eureka LOOP and FP7 C2POWER, while serving as a Technical Manager for FP7 COGEU and FP7 SALUS. In 2009, he became an Invited Assistant Professor with the University of Aveiro, Portugal, and an Associate Professor in 2015. He has authored over 300 scientific works that includes six book editorials. He has been a Chartered Engineer since 2013, and was a fellow of the IET (2015). Di Zhang is a Ph. D. candidate in Waseda University, Tokyo, Japan (2013- ). He served as the workshop TPC member of IEEE ICC, IEEE WCNC, IEEE VTC. He received the Best Master Thesis grant, Distinction 1st honor for graduate student and other grants and honors. His research interests include massive MIMO, green communications, information theory, and signal processing. He is a student member of IEEE and IEICE. Publisher Copyright: © 2017 Elsevier B.V.
PY - 2017/12/24
Y1 - 2017/12/24
N2 - 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.
AB - 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.
KW - Energy efficiency
KW - M2M communications
KW - Multi-cellular networks
KW - Noncooperative game theory
KW - Random access
UR - http://www.scopus.com/inward/record.url?scp=85026270513&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85026270513&partnerID=8YFLogxK
U2 - 10.1016/j.comnet.2017.06.019
DO - 10.1016/j.comnet.2017.06.019
M3 - Article
AN - SCOPUS:85026270513
VL - 129
SP - 493
EP - 501
JO - Computer Networks
JF - Computer Networks
SN - 1389-1286
ER -