On optimizing the performance of interference-limited cellular systems

Author

Abdelaal, Rana A. ; Behbahani, Alireza S. ; Eltawil, Ahmed M.

Author_Institution

Univ. of California, Irvine, Irvine, CA, USA

fYear

2014

fDate

9-11 April 2014

Firstpage

1

Lastpage

5

Abstract

Multi Input Multi Output (MIMO) technology has seen prolific use to achieve higher data rates and an improved communication experience for cellular systems. However, one of the challenging problems in MIMO systems is interference. Interference limits the system performance in terms of rate and reliability. In this paper, we analyze a novel method that provides high performance over interference-limited cellular networks such as Long Term Evolution (LTE). Our proposed algorithm includes an optimized solution that models the interference as correlated noise, and uses its statistical information to jointly optimize the base station precoding and user receiver design of LTE systems. We study the benefits of exploiting interference in terms of both probability of error and signal-to-noise ratio (SNR). In addition, we compare the proposed method with the conventional beamforming and maximum ratio combining (MRC).

Keywords

Long Term Evolution; MIMO communication; cellular radio; diversity reception; error statistics; precoding; radiofrequency interference; LTE; Long Term Evolution; MIMO technology; MRC; SNR; base station precoding; cellular systems; conventional beamforming; correlated noise; error probability; interference-limited cellular networks; maximum ratio combining; multi input multi output technology; signal-to-noise ratio; statistical information; user receiver design; Complexity theory; Correlation; Interference; MIMO; Receivers; Signal to noise ratio; Cellular networks; Interference management; LTE; MIMO;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Telecommunications Symposium (WTS), 2014

Conference_Location

Washington, DC

Type

conf

DOI

10.1109/WTS.2014.6834999

Filename

6834999