Open AccessParticle swarm optimisation with embedded/cascaded parallel update for cooperative transmit beamforming in multiuser multiple‐input multiple‐output systems
Author(s) -
Lu HoangYang,
Hung HsienSen,
Yang MingJu
Publication year - 2014
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2013.0467
Subject(s) - beamforming , mimo , telecommunications link , particle swarm optimization , computer science , channel (broadcasting) , algorithm , bit error rate , computational complexity theory , mathematical optimization , control theory (sociology) , decoding methods , mathematics , telecommunications , artificial intelligence , control (management)
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.