Selection of Optimal  Locations for distributed MIMO Systems

Visiting researcher: Prof. Ming Chen (SEU)
Host researcher: Dr Pei-Jung Chung (UoE) & Dr Mohammad Reza Nakhai (KCL)
Duration: 3 months
Status: Ongoing

Biography of the visiting researcher

Ming Chen received his B.Sc., M.Sc. and Ph.D. degrees from mathematics department of Nanjing University, Nanjing, China, in 1990,1993 and 1996 respectively. In July of 1996, he came to National Mobile Communications Research Laboratory of Southeast University in Nanjing to be a Lecturer. From April of 1998 to March of 2003 he has been an Associate Professor and from April of 2003 to now he has been a Professor at the laboratory.
He has been a guest researcher of Shanghai Research Institute of Microsystem and Information of Chinese Academy of Sciences from Jan. 2004 to Dec. 2005, one of the members of editorial committee of Chinese Journal of Radio Science from 2006 to now. He won the honour of New Century Excellent Talents in University of Chinese Ministry of Education in 2006.
His research interests include signal processing, radio resource management and network planning of mobile communication systems. He has authored and coauthored over 60 papers in journal papers and 50 papers in international conferences, own 2 Chinese patents and coauthored 6 European patents. As the principals, he has completed 5 research projects of national 863 high technology development, 6 international cooperation research projects (3 with Nokia Corporation and 3 with Shanghai research institute of Alcatel–Lucent), 12 intranational university-industry cooperation research projects. Especially, he has been one of the main researchers of key projects of Chinese FuTURE plan and National Nature Science Funds.

Background and Motivation

Multiple input and multiple output (MIMO) transmission, as one of promising technologies to improve the capacity of wireless channel without more spectrum and transmission power, has been widely investigated last ten years. However, there has been little work about the network planning of MIMO systems. In fact, if not well planned, MIMO systems will work in a low level of system capacity. For example, if put all the multiple antennas of base station together at the center of the cell, the average ergodic system capacity of the cell will be much lower than that of putting them in a distributed way. In Chinese FuTURE test system, built in Shanghai several years ago, the multiple antennas of base station was designed to put in the cell in a distributed way. The test results show that the performance of cell capacity and outage probability for DAS (distributed antennas system) is higher than that of CAS (centered antennas system).
By now, people still doesn’t know that if cover a cell with given bound by several distributed antennas, how to chose the locations of these base station antennas so that the performance of the system capacity or outage probability could achieve its maximum. Some primary results have been obtained in [2-4], but this problem has not been solved completely from the angle of theory.
Furthermore, if the method of applying antennas of the base station is changed, for example the multiple antennas are employed to transmit signal in a beamforming way not in a MIMO way, then what is the optimal locations of these base station antennas? This is still an open problem because of the complexity of the corresponding mathematical optimal problem.

Research Activities

The aims of the proposed work is to find the distribution characteristics of the multiple base station antennas with respect to different optimal performance such as average ergodic capacity, average ergodic outage probability etc. by theoretically analysis to the mathematical optimization problem, and evaluate the application probability of the DAS technique in 4G system. For the aims, we will
  1. Establish the mathematical model of the problem, i.e. the optimization problem;
  2. Investigate the properties the optimal solution of the optimization problem satisfied;
  3. Verify theoretical results by computer simulation;
  4. Discuss the application probability of the DAS technique in 4G system.


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