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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Bibliographic Details
Published in:IET communications Vol. 12; no. 11; pp. 1307 - 1314
Main Authors: Zhou, Longfei, Xu, Zi, Jiang, Wei, Luo, Wu
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 17.07.2018
Subjects:
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
Online Access:Get full text
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Description
Summary: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