NDLI: A low complexity evolutionary algorithm for multi-user MIMO detection

Content Provider	IEEE Xplore Digital Library
Author	Ashrafinia, S. Naeem, M. Lee, D.
Copyright Year	2011
Description	Author affiliation: School of Engineering Science, Simon Fraser University, Burnaby, BC V5A 1S6, Canada (Ashrafinia, S.; Naeem, M.; Lee, D.)
Abstract	Employing the Multi-Device Multi Input Multi Output (MIMO) communication scheme improves the wireless communication via diversity methods and spacial multiplexing. In this paper, we apply Biogeography-Based Optimization Algorithm (BBO) for Joint Symbol Detection (JSD) at the receiver station in a Multi-Device Space-Time Block Coded (STBC) MIMO system. Exhaustive search for finding an optimal detection - Maximum Likelihood (ML) detection - has a computational complexity that increases exponentially with the number of wireless devices, transmit antennas per wireless device, and the number of bits per symbols (complex modulation schemes e.g. MPSK or M-QAM), which yields to higher complexity and cost. BBO is a new population-based, biogeography inspired global optimization algorithm that mainly uses the biogeography-based migration operator to share the information among solutions. We present a low-complex migration model for partial immigration-based BBO, and apply it to JSD to find a nearly optimal solution in real time with much less computational complexity. The results of multiple independent simulation runs of the algorithms indicate a good performance/complexity trade-off compared with other well-known previously proposed algorithms for JSD, such as the near-optimal Sphere Decoding (SD), Genetic Algorithm (GA), Minimum Mean Square Error (MMSE), Vertical Bell Laboratories Layered Space-Time (V-BLAST) and Semi-Definite Relaxation (SDR). The effectiveness of BBO is verified through these simulation results.
Starting Page	8
Ending Page	13
File Size	220054
Page Count	6
File Format	PDF
ISBN	9781612840680
e-ISBN	9781612840697
DOI	10.1109/SMDCM.2011.5949286
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-11
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Multi-input multi-output communication Space time block code Bit error rate Transmitting antennas Biogeography-based optimization Evolutionary algorithm Receivers MIMO Mobile handsets Optimization
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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