Paper Info
Title
Efficient Computation of Pareto Optimal Beamforming Vectors for the MISO Interference Channel With Successive Interference Cancellation
Abstract
We study the two-user multiple-input single-output (MISO) Gaussian interference channel where the transmitters have perfect channel state information and employ single-stream beamforming. The receivers are capable of performing successive interference cancellation, so when the interfering signal is strong enough, it can be decoded, treating the desired signal as noise, and subtracted from the received signal, before the desired signal is decoded. We propose efficient methods to compute the Pareto-optimal rate points and corresponding beamforming vector pairs, by maximizing the rate of one link given the rate of the other link. We do so by splitting the original problem into four subproblems corresponding to the combinations of the receivers' decoding strategies—either decode the interference or treat it as additive noise. We utilize recently proposed parameterizations of the optimal beamforming vectors to equivalently reformulate each subproblem as a quasi-concave problem, which we solve very efficiently either analytically or via scalar numerical optimization. The computational complexity of the proposed methods is several orders-of-magnitude less than the complexity of the state-of-the-art methods. We use the proposed methods to illustrate the effect of the strength and spatial correlation of the channels on the shape of the rate region.
Year
DOI
Venue
2013
10.1109/TSP.2013.2271748
IEEE Transactions on Signal Processing
Keywords
Field
DocType
Gaussian channels,Gaussian noise,MIMO communication,Pareto optimisation,array signal processing,channel coding,computational complexity,concave programming,decoding,interference suppression,numerical analysis,radio links,radio receivers,radio transmitters,radiofrequency interference,vectors,wireless channels,MISO,additive noise,channel correlation,computational complexity,numerical optimization,pareto optimal beamforming vector pair,perfect channel state information,quasiconcave problem,radio receiver,radio transmitter,signal decoding,single-stream beamforming,successive interference cancellation,two-user multiple-input single-output Gaussian interference channel,Beamforming,Pareto boundary,Pareto optimality,interference cancellation,interference channel,multiple-input single-output (MISO),rate region
WSDMA,Beamforming,Mathematical optimization,Single antenna interference cancellation,Communication channel,Interference (wave propagation),Decoding methods,Gaussian noise,Mathematics,Channel state information
Journal
Volume
Issue
ISSN
61
19
1053-587X
Citations 
PageRank 
References 
10
0.57
20
Authors
3
Name
Order
Citations
PageRank
Johannes Lindblom113610.15
Eleftherios Karipidis242934.53
Erik G. Larsson310189605.81