Performance Evaluation of Coordinated Multi-Point Transmission Schemes with Predicted CSI
Paper in proceedings, 2012

Coordinated multi-point (CoMP) transmission is considered as an efficient technique to improve cell-edge performance as well as system spectrum efficiency. In CoMP-enabled systems, a cluster of coordinated base stations (BSs) are typically assumed to be connected to a control unit (CU) via backhaul links, and the provided performance gain heavily relies on the quality of the channel state information (CSI) available at the CU side. In this paper, we consider the downlink of a CoMP cluster and compare three different CoMP transmission schemes: zero-forcing coherent joint transmission, non-coherent joint transmission and coordinated scheduling. Moreover, for each of the analyzed schemes, the performance in terms of average sum rate of the CoMP cluster is studied with predicted CSI, considering the effects of the feedback and backhaul latency, as well as the user mobility. Compared to zero-forcing coherent joint transmission, we show that non-coherent joint transmission and coordinated scheduling are more robust to channel uncertainly. In addition, depending on the latency, user mobility and user locations, different schemes would achieve the highest average sum rate performance. Hence, a system could switch between the transmission schemes to improve the sum rate.

Author

Jingya Li

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Agisilaos Papadogiannis

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

R. Apelfrojd

Uppsala University

Tommy Svensson

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Mikael Sternad

Uppsala University

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

1055-1060 6362501

Advanced Radio Interface Technologies for 4G Systems (ARTIST4G)

European Commission (FP7), 2010-01-01 -- 2012-06-30.

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Signal Processing

DOI

10.1109/PIMRC.2012.6362501

ISBN

978-146732569-1

More information

Latest update

2/28/2018