Multicell Optimization for Diversity and Interference Mitigation

We study diversity and interference mitigation with an emphasis on the interaction between the transmitter-receiver (Tx-Rx) pairs in a two-user, two-cell system in which the performance at each Rx depends on the actions of the both desired and the interfering Txs. We will propose two techniques. The...

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Bibliographic Details
Published in:IEEE transactions on signal processing Vol. 56; no. 5; pp. 2050 - 2061
Main Authors: Oteri, O., Paulraj, A.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.05.2008
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Applied sciences
Block codes
Codes
Coding, codes
Constraining
Decoding
Detection, estimation, filtering, equalization, prediction
Dominance
Error probability
Errors
Exact sciences and technology
Fading
Information, signal and communications theory
Interference
MIMO
Miscellaneous
MSP-CODR MIMO precoder/decoder design
MSP-MULT MIMO multiuser and multiaccess schemes
Pareto analysis
Pareto optimality
Performance analysis
Performance enhancement
Radiofrequency interference
Receiving antennas
Signal and communications theory
Signal processing
Signal, noise
SPC- INTF interference suppression and rejection
Telecommunications and information theory
Transmitting antennas
Performance evaluation
MIMO system
Multiple access
Block code
Space-time codes
Error probability
Noise reduction
Transmitter
Decoding
Beam forming
Optimization
Interference suppression
SPC- INTF interference suppression and rejection
MSP-CODR MIMO precoder/decoder design
Greedy algorithm
Signal processing
MSP-MULT MIMO multiuser and multiaccess schemes
Open market
ISSN:1053-587X, 1941-0476
Online Access:Get full text
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Summary:We study diversity and interference mitigation with an emphasis on the interaction between the transmitter-receiver (Tx-Rx) pairs in a two-user, two-cell system in which the performance at each Rx depends on the actions of the both desired and the interfering Txs. We will propose two techniques. The first scheme is a greedy or competitive algorithm in which each Tx-Rx pair employs an orthogonal space-time (ST) block code combined with a multimode beamformer (a generalized ST code) to minimize the error probability to its own Rx till an equilibrium is reached. The second scheme is a cooperative algorithm, also based on a generalized ST code in which each Tx-Rx pair minimizes its error probability at its desired Rx but cooperates by limiting the amount of interference to the second pair's Rx. We will model and characterize the equilibrium of the competitive scheme (called the Nash equlibrium). We will then show that by using the cooperative algorithm, it is possible to find Pareto dominant actions where both Tx-Rx pairs either equal or improve their performance when compared with the NE actions. We will analyze the conditions for Pareto dominance of the cooperative scheme and finally demonstrate the performance improvements of both schemes over the single Tx-Rx pair generalized ST code.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2007.909338