Joint multicast beamforming and user scheduling in large-scale antenna systems

The joint multicast beamforming and user scheduling problem is studied, with the objective of minimising total transmitting power across multiple channels by jointly assigning each user to appropriate channel and designing multicast beamformer for each channel. The problem of interest is formulated...

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Vydáno v:	IET communications Ročník 12; číslo 11; s. 1307 - 1314
Hlavní autoři:	Zhou, Longfei, Xu, Zi, Jiang, Wei, Luo, Wu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 17.07.2018
Témata:	antenna arrays approximate solution approximation theory array signal processing convex programming convex‐relaxation‐based algorithm convex‐restriction‐based algorithm co‐design scheme highly‐structured nonsmooth program joint multicast beamforming and user scheduling problem large‐scale antenna systems MIMO communication minimisation mixed binary quadratically constrained quadratic program multicast beamformer multicast communication nonsmooth formulation problem optimisation problems performance ratio power consumption quadratic programming radio networks Research Article telecommunication scheduling total transmitting power minimization upper bound wireless channels radio networks multicast beamformer joint multicast beamforming and user scheduling problem telecommunication scheduling power consumption approximate solution convex-restriction-based algorithm antenna arrays nonsmooth formulation problem multicast communication wireless channels MIMO communication array signal processing highly-structured nonsmooth program approximation theory mixed binary quadratically constrained quadratic program convex programming upper bound performance ratio convex-relaxation-based algorithm quadratic programming total transmitting power minimization large-scale antenna systems optimisation problems minimisation co-design scheme
ISSN:	1751-8628, 1751-8636
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Popis
Shrnutí:	The joint multicast beamforming and user scheduling problem is studied, with the objective of minimising total transmitting power across multiple channels by jointly assigning each user to appropriate channel and designing multicast beamformer for each channel. The problem of interest is formulated in two different optimisation problems, a mixed binary quadratically constrained quadratic program and a highly-structured non-smooth program. Two different algorithms, based on convex relaxation and convex restriction, respectively, are proposed to solve the problem. The performance ratio between the approximate solution provided by the convex-relaxation-based algorithm and optimal solution is proven to be upper bounded by a constant independent of problem data. The convex-restriction-based algorithm is guaranteed to converge to a critical point to the non-smooth formulation problem. Finally, extensive simulation results verify the theoretical analysis and demonstrate the advantage of the proposed co-design scheme over conventional fixed scheduling and random scheduling in terms of power consumption.
ISSN:	1751-8628 1751-8636
DOI:	10.1049/iet-com.2017.0634