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Precoder Design With Incomplete Feedback for Joint Transmission

Tilak Rajesh Lakshmana (Institutionen för signaler och system, Kommunikationssystem) ; Antti Tölli ; Rahul Devassy (Institutionen för signaler och system, Kommunikationssystem) ; Tommy Svensson (Institutionen för signaler och system, Kommunikationssystem)
IEEE Transactions on Wireless Communications (1536-1276). Vol. 15 (2016), 3, p. 1923-1936.
[Artikel, refereegranskad vetenskaplig]

A centralized coordinated multipoint downlink joint transmission in a frequency division duplex system requires channel state information (CSI) to be fed back from the cell-edge users to their serving BS, and aggregated at the central coordination node for precoding, so that interference can be mitigated. The control signals comprising of CSI and the precoding weights can easily overwhelm the backhaul resources. Relative thresholding has been proposed to alleviate the burden; however, this is at the cost of reduction in throughput. In this paper, we propose utilizing the long term channel statistics comprising of pathloss and shadow fading in the precoder design to model the statistical interference for the unknown CSI. In this regard, a successive second order cone programming (SSOCP) based precoder for maximizing the weighted sum rate is proposed. The accuracy of the solution obtained is bounded with the branch and bound technique. An alternative optimization framework via weighted mean square error minimization is also derived. Both these approaches provide an efficient solution close to the optimal, and also achieve efficient backhauling, in a sense that the precoding weights are generated only for the active links. For comparison, a stochastic approach based on particle swarm optimization is also considered.

Nyckelord: branch and bound, CoMP, limited backhauling/feedback, MSE, precoding, SSOCP, weighted sum rate maximization



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Denna post skapades 2015-04-09. Senast ändrad 2016-07-07.
CPL Pubid: 214986

 

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Mobile and wireless communications Enablers for Twenty-twenty (2020) Information Society (METIS) (EC/FP7/317669)