Cooperative Interference Management With MISO Beamforming

In this correspondence, we study the downlink transmission in a multi-cell system, where multiple base stations (BSs) each with multiple antennas cooperatively design their respective transmit beamforming vectors to optimize the overall system performance. For simplicity, it is assumed that all mobi...

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Bibliographic Details
Published in:IEEE transactions on signal processing 2010-10, Vol.58 (10), p.5450-5458
Main Authors: Zhang, Rui, Cui, Shuguang
Format: Article
Language:English
Subjects:
Algorithms
Antennas
Applied sciences
Array signal processing
Base stations
Beamforming
Boundaries
Channels
Chromium
cooperative multi-cell system
Decentralized
Design optimization
Detection, estimation, filtering, equalization, prediction
Downlink
Exact sciences and technology
Information, signal and communications theory
Integrated circuit modeling
Integrated circuit noise
Interference
interference channel
Interference constraints
Mathematical analysis
Miscellaneous
multi-antenna
Pareto optimal
rate region
Signal and communications theory
Signal processing
Signal, noise
Stations
Studies
System performance
Telecommunications and information theory
Transmitting antennas
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Summary:In this correspondence, we study the downlink transmission in a multi-cell system, where multiple base stations (BSs) each with multiple antennas cooperatively design their respective transmit beamforming vectors to optimize the overall system performance. For simplicity, it is assumed that all mobile stations (MSs) are equipped with a single antenna each, and there is one active MS in each cell at one time. Accordingly, the system of interests can be modeled by a multiple-input single-output (MISO) Gaussian interference channel (IC), termed as MISO-IC, with interference treated as noise. We propose a new method to characterize different rate-tuples for active MSs on the Pareto boundary of the achievable rate region for the MISO-IC, by exploring the relationship between the MISO-IC and the cognitive radio (CR) MISO channel. We show that each Pareto-boundary rate-tuple of the MISO-IC can be achieved in a decentralized manner when each of the BSs attains its own channel capacity subject to a certain set of interference-power constraints (also known as interference-temperature constraints in the CR system) at the other MS receivers. Furthermore, we show that this result leads to a new decentralized algorithm for implementing the multi-cell cooperative downlink beamforming.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2010.2056685