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Decentralized joint precoding for WSRMax with pilot aided beamformer estimation

Kaleva, Jarkko; Tölli, Antti; Juntti, Markku; Berry, Randall; Honig, Michael (2018-01-15)

 
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https://doi.org/10.1109/GLOCOM.2017.8254536

Kaleva, Jarkko
Tölli, Antti
Juntti, Markku
Berry, Randall
Honig, Michael
Institute of Electrical and Electronics Engineers
15.01.2018

J. Kaleva, A. Toelli, M. Juntti, R. Berry and M. Honig, "Decentralized Joint Precoding for WSRMax with Pilot Aided Beamformer Estimation," GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Singapore, 2017, pp. 1-6. doi: 10.1109/GLOCOM.2017.8254536

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© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1109/GLOCOM.2017.8254536
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https://urn.fi/URN:NBN:fi-fe2018073133201
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Abstract

Downlink weighted sum rate maximizing beamformer design is considered for joint processing (JP) coordinated multi-point (CoMP) transmission. Global channel state information exchange, required by the centralized JP CoMP processing, is in many scenarios impractical due to the backhaul latency and capacity requirements. Low overhead decentralized processing enables JP even with limited backhaul capacity. The proposed best response (BR) design also takes into account the possibly non-orthogonal pilot design and noisy pilot estimation. By allowing spatially overlapping pilot sequences, the transceiver processing requires only the channel state information of locally served users. This enables more flexible pilot design and makes the proposed approach realizable in practical time correlated and noisy channel conditions. Furthermore, the proposed BR algorithm provides low signaling overhead for systems with limited backhaul capacity. Robustness for fading channel conditions and limited pilot resources is shown by numerical examples.

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