A low complexity pre-coding scheme in next generation mobile communication system

Author

Xiangyang Wang ; Tao Jiang ; Jiang Wu ; Yun Rui

Author_Institution

NCRL, Southeast Univ., Nanjing, China

fYear

2014

fDate

20-23 Aug. 2014

Firstpage

893

Lastpage

897

Abstract

The distributed MIMO (D-MIMO) antenna technique is the most promising architecture for the next generation (5G) of mobile communication system. In this paper, a low complexity downlink group pre-coding scheme is proposed for multimedia broadcast multicast services in D-MIMO system with antenna selection in remote antenna units (RAUs). The ideal channel state information (CSI) is assumed to know at both transmitters and receivers. In order to evaluate the performance of the group pre-coding, the average symbol error rate (SER) of the BD-ZF (Block Diagonalization - Zero forcing) and BD-MMSE (Block Diagonalization - Minimum Mean Square Error) algorithm with group pre-coding and conventional pre-coding in D-MIMO are represented through Monte Carlo simulation. The simulation results and the complexity analysis show that the proposed pre-coding scheme achieves comparable SER performance as the conventional scheme with much lower complexity.

Keywords

MIMO communication; mean square error methods; mobile communication; multimedia communication; next generation networks; precoding; radio links; radio receivers; radio transmitters; BD-MMSE; BD-ZF; CSI; D-MIMO antenna technique; D-MIMO system; RAU; SER; antenna selection; block diagonalization - minimum mean square error algorithm; block diagonalization - zero forcing; channel state information; distributed MIMO; downlink group precoding scheme; low complexity precoding scheme; multimedia broadcast multicast services; next generation mobile communication system; receivers; remote antenna units; symbol error rate; transmitters; Complexity theory; Digital signal processing; Fading; MIMO; Signal to noise ratio; Transmitting antennas; Distributed MIMO antennas system; MBMS; group pre-coding; lower complexity;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing (DSP), 2014 19th International Conference on

Conference_Location

Hong Kong

Type

conf

DOI

10.1109/ICDSP.2014.6900797

Filename

6900797