Open AccessArtificial fish swarm based power allocation algorithm for MIMO‐OFDM relay underwater acoustic communication
Author(s) -
Zhou Guili,
Li Youming,
He YuCheng,
Wang Xiaoli,
Yu Mingchen
Publication year - 2018
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.2017.0149
Subject(s) - relay , orthogonal frequency division multiplexing , computer science , mimo , swarm behaviour , mimo ofdm , underwater acoustic communication , algorithm , underwater , electronic engineering , power (physics) , real time computing , telecommunications , engineering , beamforming , artificial intelligence , physics , oceanography , quantum mechanics , geology , channel (broadcasting)
This study investigates the application of artificial fish swarm algorithm (AFSA) in the power allocation for multiple‐input and multiple‐output orthogonal frequency‐division multiplexing (MIMO‐OFDM) relay underwater acoustic (UWA) communication systems. First, by using the singular value decomposition technique, the two‐hop transmission links are converted into the virtual direct links in an single‐input and single‐output OFDM (SISO‐OFDM) system. Then, a power allocation optimisation problem, together with the assignment of subcarriers and relay nodes, are formulated for the virtual SISO‐OFDM system. Finally, the problem‐solving algorithms are proposed in two parts. Computer simulation results show that the proposed AFSA scheme improves in both power consumptions and diversity gains compared with two existing schemes for UWA communication systems.