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

Content Provider	IET Digital Library
Author	Zhou, Longfei Xu, Zi Jiang, Wei Luo, Wu
Abstract	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.
Starting Page	1307
Ending Page	1314
Page Count	8
ISSN	17518628
Volume Number	12
e-ISSN	17518636
Issue Number	Issue 11, Jul (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/12/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2017.0634
Journal	IET Communications
Publisher Date	2018-03-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Antenna Array Approximate Solution Approximation Theory Array Signal Processing Co-design Scheme Convex Programming Convex-relaxation-based Algorithm Convex-restriction-based Algorithm Highly-structured Nonsmooth Program Interpolation And Function Approximation Joint Multicast Beamforming And User Scheduling Problem Large-scale Antenna System MIMO Communication Minimisation Mixed Binary Quadratically Constrained Quadratic Program Multicast Beamformer Multicast Communication Nonsmooth Formulation Problem Numerical Analysis Optimisation Problem Optimisation Technique Performance Ratio Power Consumption Quadratic Programming Radio Link And Equipment Radio Network Signal Processing And Detection Telecommunication Scheduling Total Transmitting Power Minimization Upper Bound Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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