Joint Base Station Clustering and Beamforming for Non-Orthogonal Multicast and Unicast Transmission With Backhaul Constraints

The demand for providing multicast services in cellular networks is continuously and fastly increasing. In this paper, we propose a non-orthogonal transmission framework based on layered-division multiplexing (LDM) to support multicast and unicast services concurrently in cooperative multi-cell cell...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2018-09, Vol.17 (9), p.6265-6279
Main Authors: Chen, Erkai, Tao, Meixia, Liu, Ya-Feng
Format: Article
Language:English
Subjects:
Algorithms
Array signal processing
Beamforming
Branch & bound algorithms
branch-and-bound (BB)
Cellular communication
Cellular networks
Clustering
Clustering algorithms
Computer simulation
convex-concave procedure (CCP)
Division
Layered-division multiplexing (LDM)
MIMO communication
Multicast
Multiplexing
non-orthogonal multicast and unicast transmission
Simulation
sparse beamforming
Unicast
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Summary:The demand for providing multicast services in cellular networks is continuously and fastly increasing. In this paper, we propose a non-orthogonal transmission framework based on layered-division multiplexing (LDM) to support multicast and unicast services concurrently in cooperative multi-cell cellular networks with a limited backhaul capacity. We adopt a two-layer LDM structure where the first layer is intended for multicast services, the second layer is for unicast services, and the two layers are superposed with different beamformers. Each user decodes the multicast message first, subtracts it, and then decodes its dedicated unicast message. We formulate a joint multicast and unicast beamforming problem with adaptive base station clustering that aims to maximize the weighted sum of the multicast rate and the unicast rate under per-BS power and backhaul constraints. To solve the problem, we first develop a branch-and-bound algorithm to find its global optimum. We then reformulate the problem as a sparse beamforming problem and propose a low-complexity algorithm based on convex-concave procedure. Simulation results demonstrate the significant superiority of the proposed LDM-based non-orthogonal scheme over orthogonal schemes in terms of the achievable multicast-unicast rate region.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2018.2858223