Paper Info
Title
Performance Evaluation Of Interference Cancellation Using A Generalized-Array-Manifold Model
Abstract
In this paper, a novel interference cancellation (IC) algorithm is introduced which is applicable to improving the signal to interference power ratio (SIR) for the signals of a specific user by estimating the channels accurately. In this algorithm, a so-called generalized array manifold (GAM) generic channel model is adopted for parameter estimation which makes use of the First-order Taylor-series expansion to approximate the contribution of individual dispersive components in the channel to the received signal. Since the GAM model takes into account the influence of unresolvable distributed components, the IC algorithm is superior in terms of higher SIRs to conventional methods that reconstruct the signals of a desired user for dominant specular-path components. Monte-Carlo simulation results show that the SIR improvements vary with the delay and Doppler frequency spreads of a propagation channel. Besides, experimental results obtained by processing the measurement data collected in an in-service Universal Mobile Telecommunication System (UMTS) network demonstrate that by using the proposed IC algorithm and under the assumption that a channel consists of single dispersive component, which is usually the case where rich scattering occurs in the vicinity of a user, the SIR can be improved significantly when the delay and Doppler frequency spreads of channel are within certain ranges.
Year
Venue
Keywords
2014
2014 IEEE 25TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATION (PIMRC)
Interference cancellation, generalized array manifold model, signal to interference power ratio, and local scattering
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
13
5
Name
Order
Citations
PageRank
Nan Zhang1152.53
Xuefeng Yin230140.83
Li Tian36616.84
Weiming Duan4212.70
Silvia Ruiz-Boque56312.78