Paper Info
Title
A Geometric Approach to Improve Interference Mitigation in Multi-User Detection and Equalization
Abstract
We apply maximal asymptotic conditional efficiency joint successive interference cancellation (MACE-JSIC) to frequency-selective channel equalization and propose improvements that extend MACE-JSIC detection to the broader paradigm of time-varying and imprecisely known communication systems. The need for expensive redesign to include any change in the interfering signals is a fundamental limitation of MACE-JSIC detection despite its high performance and low detection complexity. In this work, we derive sufficiency criteria that reduce maximum asymptotic efficiency (MAE) detection to low-complexity decorrelation and exploit this relationship to extend the MACE-JSIC approach to time-varying communication systems. Simulations on several multi-user systems and frequency-selective channels demonstrate that the performance of the proposed detectors is consistent with theoretical expectations.
Year
DOI
Venue
2011
10.1109/TSP.2010.2094191
IEEE Transactions on Signal Processing
Keywords
Field
DocType
maximal asymptotic conditional efficiency,geometric approach,broader paradigm,mace-jsic detection,low detection complexity,mace-jsic approach,communication system,multi-user detection,maximum asymptotic efficiency,high performance,improve interference mitigation,time-varying communication system,frequency-selective channel,interference,detectors,channel equalization,vectors,decorrelation
Signal processing,Mathematical optimization,Decorrelation,Telecommunications,Equalization (audio),Single antenna interference cancellation,Communications system,Communication channel,Multiuser detection,Interference (wave propagation),Computer engineering,Mathematics
Journal
Volume
Issue
ISSN
59
4
1053-587X
Citations 
PageRank 
References 
1
0.40
12
Authors
5
Name
Order
Citations
PageRank
A.S. Gupta110.40
J.K. Nelson210.40
Weiwei Zhou311.41
A.C. Singer449723.92
James C. Preisig561254.23