Multi-Cell Uplink Interference Management: A Distributed Power Control Method

doi:10.12142/ZTECOM.2022S1008

ZTE Communications ›› 2022, Vol. 20 ›› Issue (S1): 56-63.DOI: 10.12142/ZTECOM.2022S1008

• Research Paper • Previous Articles Next Articles

Multi-Cell Uplink Interference Management: A Distributed Power Control Method

HU Huimin^1,², LIU Yuan^1,², GE Yiyang^1,², WEI Ning^3,⁴, XIONG Ke^1,²()

^1.School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
^2.Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing 100044, China
^3.ZTE Corporation, Shenzhen 518057, China
^4.State Key Laboratory of Mobile Network and Mobile Multimedia Technology, Shenzhen 518055, China

Received:2021-08-08 Online:2022-01-25 Published:2022-03-01
About author:HU Huimin received her B.S. degree from the School of Electronic and Information Engineering, Lanzhou Jiaotong University, China in 2017. She is currently pursuing the Ph.D. degree with the School of Computer and Information Technology, Beijing Jiaotong University, China. Her current research interests include age of information, energy harvesting in wireless communication networks, and wireless sensor networks.|LIU Yuan received her B.S. degree from the College of Computer and Information Technology, Liaoning Normal University, China in 2017. She is currently pursuing the Ph.D. degree with the School of Computer and Information Technology, Beijing Jiaotong University, China. Her current research interests include UAV communications, energy harvesting in wireless communication networks, and wireless sensor networks.|GE Yiyang received his B.S. degree from the School of Computer and Information Technology, Beijing Jiaotong University, China in 2019. He is currently pursuing the Ph.D. degree with the School of Computer and Information Technology, Beijing Jiaotong University. His current research interests include age of information, energy harvesting in wireless communication networks, and wireless sensor networks.|WEI Ning received his B.S. and M.S. degrees respectively in 2012 and 2015 from Shandong University, China. Currently, he is an R&D engineer in ZTE Corporation. His research interests include massive MIMO network, compressed sensing, optimization theory and machine learning.|XIONG Ke (kxiong@bjtu.edu.cn) received his B.S. and Ph.D. degrees from Beijing Jiaotong University (BJTU), China in 2004 and 2010, respectively. From April 2010 to February 2013, he was a postdoctoral research fellow with the Department of Electronics Engineering, Tsinghua University, China. Since March 2013, he has been a lecturer and an associate professor of BJTU, where he is currently a full professor and the Vice Dean of the School of Computer and Information Technology. From September 2015 to September 2016, he was a visiting scholar with the University of Maryland, USA. He has published more than 100 academic papers in referred journals and conferences. His current research interests include wireless cooperative networks, wireless powered networks, and network information theory. He is a member of China Computer Federation (CCF) and also a senior member of the Chinese Institute of Electronics (CIE). He serves as the associate editor-in chief for the Chinese Journal New Industrialization Strategy, and an editor of Computer Engineering and Software.
Supported by:
the National Key R&D Program of China(2020YFB1806903);ZTE Industry?Academia?Research Cooperation Funds(HC?CN?20191211004);the National Natural Science Foundation of China (NSFC) (No. 62071033 and also by the Fundamental Research Funds for the Central Universities(2020JBZD010)

Abstract

Abstract:

This paper investigates a multi-cell uplink network, where the orthogonal frequency division multiplexing (OFDM) protocol is considered to mitigate the intra-cell interference. An optimization problem is formulated to maximize the user supporting ratio for the uplink multi-cell system by optimizing the transmit power. This paper adopts the user supporting ratio as the main performance metric. Our goal is to improve the user supporting ratio of each cell. Since the formulated optimization problem is non-convex, it cannot be solved by using traditional convex-based optimization methods. Thus, a distributed method with low complexity and a small amount of multi-cell interaction is proposed. Numerical results show that a notable performance gain achieved by our proposed scheme compared with the traditional one is without inter-cell interaction.

Key words: uplink interference, multi-cell uplink network, non-cooperative game, interactive scheme

HU Huimin, LIU Yuan, GE Yiyang, WEI Ning, XIONG Ke. Multi-Cell Uplink Interference Management: A Distributed Power Control Method[J]. ZTE Communications, 2022, 20(S1): 56-63.

Figures/Tables 6

Figure 1 An illustration of a multi-cell uplink system

Figure 2 Simulation scene

Figure 3 User supporting ratio of each cell under an interactive scheme based on non-cooperative game

Figure 4 User supporting ratio of each cell under an interactive scheme based on non-cooperative game

Figure 5 Average user supporting ratio of all cells under the non-cooperative game scheme

Figure 6 Average user supporting ratio of all cells under the interactive scheme based on the non-cooperative game

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Multi-Cell Uplink Interference Management: A Distributed Power Control Method

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