NDLI: Self-adaptive Genetic algorithm based MU-MIMO scheduling scheme

Content Provider	IEEE Xplore Digital Library
Author	Chengcheng Yang Jiang Han Yi Li Xiaodong Xu
Copyright Year	2013
Description	Author affiliation: Beijing Univ. of Posts & Telecommun., Beijing, China (Chengcheng Yang; Jiang Han; Yi Li; Xiaodong Xu)
Abstract	Multi-user Multiple Input Multiple Output (MU-MIMO) system is known to enhance the system capacity with low network delay. One of the biggest challenges with MU-MIMO is on the scheduling scheme which simultaneously selects multiple users to maximize the sum rate. Genetic Algorithm (GA) works perfectly as an optimal or suboptimal solution with quite low complexity to handle such problems. In this paper, we promote a MU-MIMO scheduling scheme which is based on a modified GA, namely Self-adaptive GA (SaGA). SaGA can adjust the performance of population and generation dynamically during run. Furthermore, a self-adaptive elitism strategy also makes contributions to a better behave and faster convergence beyond the traditional GA strategy. Simulation results demonstrate that the performance of SaGA based scheduling is quite approximate to the exhaustive searching while with a much lower complexity.
Sponsorship	IEEE Beijing Sect.
Starting Page	180
Ending Page	185
File Size	172528
Page Count	6
File Format	PDF
ISBN	9781479900770
DOI	10.1109/ICCT.2013.6820369
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Complexity theory Convergence Scheduling Sociology Statistics Optimization Complexity MU-MIMO Scheduling scheme Self-adaptive Genetic Algorithm Sum rat
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
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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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