Discrete Artificial Bee Colony for Computationally Efficient Symbol Detection in Multidevice STBC MIMO Systems
Joint Authors
Lee, Daniel
Naeem, Muhammad
Ashrafinia, Saeed
Source
Advances in Artificial Intelligence
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-24
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Science
Abstract EN
A Discrete Artificial Bee Colony (DABC) is presented for joint symbol detection at the receiver in a multidevice Space-Time Block Code (STBC) Mutli-Input Multi-Output (MIMO) communication system.
Exhaustive search (maximum likelihood detection) for finding an optimal detection has a computational complexity that increases exponentially with the number of mobile devices, transmit antennas per mobile device, and the number of bits per symbol.
ABC is a new population-based, swarm-based Evolutionary Algorithms (EA) presented for multivariable numerical functions and has shown good performance compared to other mainstream EAs for problems in continuous domain.
This algorithm simulates the intelligent foraging behavior of honeybee swarms.
An enhanced discrete version of the ABC algorithm is presented and applied to the joint symbol detection problem to find a nearly optimal solution in real time.
The results of multiple independent simulation runs indicate the effectiveness of DABC with other well-known algorithms previously proposed for joint symbol detection such as the near-optimal sphere decoding, minimum mean square error, zero forcing, and semidefinite relaxation, along with other EAs such as genetic algorithm, estimation of distributions algorithm, and the more novel biogeography-based optimization algorithm.
American Psychological Association (APA)
Ashrafinia, Saeed& Naeem, Muhammad& Lee, Daniel. 2013. Discrete Artificial Bee Colony for Computationally Efficient Symbol Detection in Multidevice STBC MIMO Systems. Advances in Artificial Intelligence،Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-482257
Modern Language Association (MLA)
Ashrafinia, Saeed…[et al.]. Discrete Artificial Bee Colony for Computationally Efficient Symbol Detection in Multidevice STBC MIMO Systems. Advances in Artificial Intelligence No. 2013 (2013), pp.1-14.
https://search.emarefa.net/detail/BIM-482257
American Medical Association (AMA)
Ashrafinia, Saeed& Naeem, Muhammad& Lee, Daniel. Discrete Artificial Bee Colony for Computationally Efficient Symbol Detection in Multidevice STBC MIMO Systems. Advances in Artificial Intelligence. 2013. Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-482257
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482257