NDLI: Artificial fish swarm based power allocation algorithm for MIMO-OFDM relay underwater acoustic communication

Content Provider	IET Digital Library
Author	Zhou, Guili Li, Youming He, Yu Cheng Wang, Xiaoli Yu, Mingchen
Abstract	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.
Starting Page	1079
Ending Page	1085
Page Count	7
ISSN	17518628
Volume Number	12
e-ISSN	17518636
Issue Number	Issue 9, Jun (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/12/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2017.0149
Journal	IET Communications
Publisher Date	2018-02-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Artificial Fish Swarm Algorithm Artificial Fish Swarm Based Power Allocation Algorithm Code Intercarrier Interference Interpolation And Function Approximation MIMO Communication MIMO-OFDM Relay Underwater Acoustic Communication Modulation And Coding Method Multiple-input Multiple-output Orthogonal Frequency-division Numerical Analysis OFDM Modulation Optimisation Optimisation Technique Power Allocation Optimisation Problem Power Consumptions Problem-solving Algorithm Radio Link And Equipment Relay Node Single-input Singular Value Decomposition Singular Value Decomposition Technique Statistics Two-hop Transmission Link Underwater Acoustic Communication Underwater Acoustic Communication System UWA Communication System Virtual Direct Link Virtual SISO-OFDM System Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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