Stochastic Precoding for MISO Interference Channels with Channel Mean Feedback

This work considers linear precoding strategies for multiple-input single-out (MISO) interference channels with channel mean feedback at transmitters, where the interference at each receiver is treated as additive noise. The challenge here is that previous precoder designs with perfect channel state...

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Bibliographic Details
Published in:IEEE transactions on communications Vol. 60; no. 4; pp. 1082 - 1090
Main Authors: Ding, Minhua, Zhang, Q. T.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.04.2012
Institute of Electrical and Electronics Engineers
Subjects:
Applied sciences
Coding, codes
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Interference channels
Laplace transform order
multiple-input single-output (MISO)
Nash equilibrium
Radiocommunications
Receivers
Signal and communications theory
Signal, noise
stochastic orders
Stochastic processes
stochastic zero forcing
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Transmitters
Transmitters. Receivers
Vectors
Additive noise
Parameter estimation
Coding circuit
Transmitter
Feedback regulation
Nash equilibrium
Interference channels
Laplace transform order
Beam forming
Implementation
stochastic zero forcing
Coding
multiple-input single-output (MISO)
stochastic orders
Channel estimation
Signal processing
Laplace transformation
Open market
Pretreatment
MISO system
ISSN:0090-6778
Online Access:Get full text
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Summary:This work considers linear precoding strategies for multiple-input single-out (MISO) interference channels with channel mean feedback at transmitters, where the interference at each receiver is treated as additive noise. The challenge here is that previous precoder designs with perfect channel state information (CSI) at transmitters do not apply and new approaches are required. Based on the Laplace transform order, an altruistic non-equilibrium strategy, i.e., the stochastic zero forcing, is first proposed under practical assumptions, generalizing the traditional zero forcing which requires perfect CSI. Interestingly, the precoding matrices here are all rank-one beamformers as in the traditional zero forcing. The competitive use of the common physical media in MISO interference channels is also formulated as a strategic noncooperative game. In contrast to the perfect CSI case with a unique rank-one Nash equilibrium, with channel mean feedback, the Nash equilibria here are not necessarily rank-one in general. Nevertheless, when achieved by the rank-one beamforming, the equilibrium is unique and convenient for implementation. Accordingly, the condition for beamforming to achieve the equilibrium is derived. Comparisons of the above two strategies reveal no overall dominance of one over the other, thereby establishing stochastic zero forcing as an alternative to the Nash equilibrium designs.
ISSN:0090-6778
DOI:10.1109/TCOMM.2012.022912.110277