ZTE

ZTE Communications ›› 2015, Vol. 13 ›› Issue (1): 60-66.doi: 10.3969/j.issn.1673-5188.2015.01.008

• Research Paper • Previous Articles    

Utility-Based Joint Scheduling Approach Supporting Multiple Services for CoMP-SU-MIMO in LTE-A System

Borui Ren, Gang Liu, Bin Hou   

  1. Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2014-10-08 Online:2015-03-25 Published:2015-03-25
  • About author:Borui Ren (zxzrbr@163.com) received his BS degree from Beijing University of Posts and Telecommunications (BUPT) in 2013.He is now a postgraduate student in Beijing University of Posts and Telecommunications. His research interests include mobile communication theory, mobile internet, and other technologies.
    Gang Liu (liugang@bupt.edu.cn) received his PhD degree from BUPT in 2003. Over the past few years, he has participated as principal investigator in two National Natural Science Foundation programs. His research interests include cloud computing, speech recognition, and other technologies. He has published more than 50 papers and holds five nation invention patents.
    Bin Hou (robinhou@163.com) received his PhD degree from BUPT in 2007. He currently works as a lecturer at Beijing University of Posts and Telecommunications. He has co-authoredHadoop Open Source Cloud Computing Platform . His research interests include information and network security, intelligent information processing, and data mining.
  • Supported by:
    This work was partially supported by the Fundamental Research Funds for the Central Universities under Grant No. 2012RC0401.

PDF (PC)

Abstract: In this paper, we study utility-based resource allocation for users supporting multiple services in a LTE-A system with coordinated multi-point transmission for single-user multi-input multi-output (CoMP-SU-MIMO). We designed Joint Transmission Power Control (JTPC) for the selected clusters for minimizing power consumption in LTE-A systems. The objective of JTPC is to calculate the optimal transmission power for each scheduled user and subcarrier. Moreover, based on the convex optimization theory, we propose the dynamic sector selection method in which the average sector throughput and cell-edge users (UEs) rates are performed to achieve the optimal solution. Simulation results show that the system performance achieved by using the proposed suboptimal algorithm is close to that achieved by the dual decomposition method.

Key words: CoMP-SU-MIMO, multiple services, scheduling algorithm