J. Kaleva, A. Tölli and M. Juntti, "Fast converging decentralized WSRMax for MIMO IBC with low computational complexity," 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Curacao, 2017, pp. 1-5. doi: 10.1109/CAMSAP.2017.8313177
Fast converging decentralized WSRMax for MIMO IBC with low computational complexity
|Author:||Kaleva, Jarkko1; Tölli, Antti1; Juntti, Markku1|
1Centre for Wireless Communications, University of Oulu University of Oulu, P.O. Box 4500, 90014, Finland
|Online Access:||PDF Full Text (PDF, 0.1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018080233265
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-08-02
Iteratively decentralized weighted sum rate maximization (WSRMax) is proposed for multiple-input multiple-output (MIMO) interfering broadcast channel. Particular emphasis is given for improved rate of convergence for the WSRMax utility. Successive convex approximation is applied to provide an algorithm with fast rate of convergence and low computational complexity per iteration while sustaining the monotonic improvement of the objective. This method has particularly convenient structure for decentralized processing allowing alternating receive and transmit beamformer updates. This structure complies with recently proposed low overhead pilot aided beamformer signaling frameworks. The computational complexity and signaling overhead of the scheme are equivalent with the well-established weighted mean squared error minimization (WMMSE) approach. The proposed method is shown, by numerical examples, to improve the rate of convergence with respect to the WMMSE and semidefinite program (SDP) relaxation methods.
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 10-13 December 2017, Curacao, Netherlands Antilles
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
113 Computer and information sciences
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