Joint Distributed Beamforming and Power Allocation in Underlay Cognitive Two-Way Relay Links Using Second-Order Channel Statistics

Cognitive underlay amplify-and-forward (AF) two-way relay links require signal-to-interference-and-noise-ratio (SINR) balancing and maximizing strategies. And both secondary-to-primary and primary-to-secondary interference must be taken into consideration. To achieve these goals, we develop several...

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Bibliographic Details
Published in:IEEE transactions on signal processing Vol. 62; no. 22; pp. 5950 - 5961
Main Authors: Yun Cao, Tellambura, Chintha
Format: Journal Article
Language:English
Published: New York IEEE 15.11.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Allocations
Amplify-and-forward relaying
Array signal processing
Beamforming
Channels
cognitive radio
distributed beamforming
Electric power distribution
Interference
Joints
Links
Optimization
power allocation
Relay
Relays
Resource management
second-order statistics of channel gains
Signal processing algorithms
Signal to noise ratio
SINR balancing
two-way relay
underlay
ISSN:1053-587X, 1941-0476
Online Access:Get full text
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Summary:Cognitive underlay amplify-and-forward (AF) two-way relay links require signal-to-interference-and-noise-ratio (SINR) balancing and maximizing strategies. And both secondary-to-primary and primary-to-secondary interference must be taken into consideration. To achieve these goals, we develop several joint distributed beamforming and power allocation algorithms. The development is based on the assumption of the availability of channel state information (CSI) of the relay-transceiver channels and the second-order-statistics (SOS) of all channels. For single-relay and multi-relay systems, a closed-form solution and an exhaustive-search optimal algorithm, respectively, are developed. This optimal algorithm, despite its high computational complexity, serves as a useful benchmark. Moreover, two low-complexity suboptimal algorithms are proposed, both of which compute sub-optimal power allocations and beamformers. A 10-dB SINR improvement by the optimal algorithm and similar gains by both proposed suboptimal algorithms are achievable.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2014.2358953