NDLI: Particle swarm optimisation with embedded/cascaded parallel update for cooperative transmit beamforming in multiuser multiple-input multiple-output systems

Content Provider	IET Digital Library
Author	Lu, Hoang Yang Hung, Hsien Sen Yang, Ming Ju
Abstract	The authors present a cooperative transmit beamforming (CTBF) technique for the uplink of multiuser multiple-input multiple-output (MIMO) systems. To maximise MIMO channel capacity, the proposed technique embeds a parallel update (PU) mechanism into the particle swarm optimisation (PSO) scheme to concurrently search and refine each user's CTBF weights at every iteration in the PSO, thus named the embedded PU/PSO. Moreover, a reduced complexity and yet effective scheme is also proposed, which cascades the conventional PSO with the PU mechanism, thus called the cascaded PU/PSO. Simulation results demonstrate that the proposed CTBF schemes overcome the bit-error-rate floor phenomenon problem at higher signal-to-noise ratios, which appears in the existing works, at the expense of moderately higher complexity if the cascaded PU/PSO is used.
Starting Page	441
Ending Page	447
Page Count	7
ISSN	17518628
Volume Number	8
e-ISSN	17518636
Issue Number	Issue 4, Mar (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/8/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2013.0467
Journal	IET Communications
Publisher Date	2014-01-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Array Signal Processing Bit Error Rate Floor Phenomenon Problem Cascaded Parallel Update Cascaded PU/PSO Channel Capacity Cooperative Communication Cooperative Transmit Beamforming CTBF Error Statistics MIMO System Multiuser Channel Multiuser Multiple-input Multiple-output System Optimisation Technique Particle Swarm Optimisation Radio Link And Equipment Signal Processing And Detection Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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