Scheduling-Assisted Joint Processing for CoMP in the Framework of the WINNER+ Project
Paper i proceeding, 2010

The goal of this paper is to present the main achievements reached within the WINNER+ project concerning, in particular, clustering as a way to improve the feasibility of joint processing schemes as enablers of coordinated multipoint solutions. Three different approaches are presented. First, a single and static cluster of base stations is considered. In this case, a user-centric partial joint processing scheme is proposed to reduce with respect to a fully centralized approach both the inter-base information exchange and feedback from the users. Second, a dynamic and network centric clustering approach is presented. It is shown that substantial gains can be obtained with respect to a static clustering scenario when a central unit jointly creates the clusters of collaborating base stations, schedules the users in these clusters and calculates the beamforming coefficients and the power allocation. Finally, a dynamic clustering technique is combined with multi-antenna receivers. In addition, a concept for a scalable channel state information feedback is also presented.

dynamic clustering



joint processing


coordinated scheduling

user grouping


Lars Thiele

Federico Boccardi

Carmen Botella Mascarell

Chalmers, Signaler och system, Kommunikation, Antenner och Optiska Nätverk

Tommy Svensson

Chalmers, Signaler och system, Kommunikation, Antenner och Optiska Nätverk

Mauro Boldi

Proc. Future Network & MobileSummit 2010, June 2010, Florence, Italy.


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