Precoder Design for K-User Interference Channels with Finite Alphabet Signals

We consider a MIMO K-user interference channel with finite alphabet signaling, and design an optimal precoder for maximizing the sum mutual information between all transmitter-receiver pairs. Perfect channel knowledge is assumed to be available at all the transmitters, but, decoding of the interferi...

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Bibliographic Details
Published in:IEEE communications letters Vol. 17; no. 4; pp. 681 - 684
Main Authors: Ram, B. Hari, Wei Li, Ayyar, Arun, Lilleberg, Jorma, Giridhar, K.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.04.2013
Institute of Electrical and Electronics Engineers
Subjects:
Applied sciences
Bit error rate
Coding, codes
Exact sciences and technology
finite alphabet signals
Information, signal and communications theory
interference alignment
Interference channel
Interference channels
precoder design
Radiocommunications
Receivers
Signal and communications theory
Signal to noise ratio
sum mutual information
Switching and signalling
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmitters
Transmitters. Receivers
Vectors
Alphabet
Performance evaluation
Bit error rate
Transmitter
precoder design
Mean square error
Gaussian noise
Covariance
interference alignment
Minimal distance
Gradient method
MIMO system
Coding circuit
Measurement sensor
Color noise
Decoding
finite alphabet signals
Signalling
Interference channel
Signal interference
Simulation
Descent method
Signal to interference plus noise ratio
Mutual information
sum mutual information
ISSN:1089-7798
Online Access:Get full text
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Description
Summary:We consider a MIMO K-user interference channel with finite alphabet signaling, and design an optimal precoder for maximizing the sum mutual information between all transmitter-receiver pairs. Perfect channel knowledge is assumed to be available at all the transmitters, but, decoding of the interfering signals is not done at any receiver. A gradient descent algorithm is employed for maximizing the sum mutual information. Simulation results for the three user interference channel show that when compared to conventional schemes which maximize the signal-to-interference plus noise ratio or minimize the mean squared error, the proposed design achieves a significantly better bit error rate performance. Along with the proposed precoder, the minimum distance detector which decodes the desired signal (while treating interference as colored Gaussian noise with a known covariance) was utilized at all the receivers, in order to get this enhanced performance.
ISSN:1089-7798
DOI:10.1109/LCOMM.2013.021213.122728