User-Centric Joint Access-Backhaul Design for Full-Duplex Self-Backhauled Cooperative Networks.

IEEE Global Communications Conference(2018)

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摘要
In-band full-duplex (IBFD) self-backhauling is promising to provide cost-effective and flexible backhaul connectivity in ultra-dense wireless networks. In this paper, we propose a user-centric joint access-backhaul transmission framework for performance optimization in IBFD-enabled self-backhauled cooperative wireless networks. In the access link, user-centric clustering is adopted so that each user is cooperatively served by a cluster of small base stations (SBSs) via joint beamforming. In the backhaul link, user-centric multicast transmission is proposed so that the macro base station (MBS) treats each user's data as a multicast message and sends it to its serving SBS cluster. We formulate an optimization problem to maximize the endto-end weighted sum rate of all users under power constraints through joint design of multicast beamforming in the backhaul link as well as SBS clustering and beamforming in the access link. We first tackle the joint access-backhaul beamforming problem under given SBS clustering by transforming it into a manifold optimization problem, for which a stationary solution is obtained using the Riemannian optimization technique. We then develop a heuristic algorithm to determine the SBS clustering. Simulation results demonstrate the effectiveness of the proposed algorithms.
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macro base station,serving SBS cluster,end-to-end weighted sum rate,joint design,multicast beamforming,backhaul link,access link,joint access- backhaul beamforming problem,manifold optimization problem,user-centric joint access-backhaul design,self-backhauled cooperative networks,In-band full-duplex self-backhauling,flexible backhaul connectivity,ultra-dense wireless networks,user-centric joint access-backhaul transmission framework,performance optimization,user-centric clustering,base stations,joint beamforming,user-centric multicast transmission,IBFD-enabled self-backhauled cooperative wireless networks,SBS clustering,Riemannian optimization technique
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