NDLI: GA based optimal resource allocation and user matching in device to device underlaying network

Content Provider	IEEE Xplore Digital Library
Author	Chengcheng Yang Xiaodong Xu Jiang Han Rehman, W.U. Xiaofeng Tao
Copyright Year	2014
Description	Author affiliation: Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China (Chengcheng Yang; Xiaodong Xu; Jiang Han; Rehman, W.U.; Xiaofeng Tao)
Abstract	Device-to-Device (D2D) communication is expected to play a pivotal role in the next generation of LET/LTE-A network, which is able to improve the system throughput by reusing the cellular resource. However, the caused intra-cell interference is quite a challenging issue in D2D underlaying cellular network. In this paper, we propose a Genetic Algorithm (GA) based joint resource allocation and user matching scheme (GAAM) to minimize the intra-cell interference while maximize the system throughput. With the proposed scheme, we firstly analyze and formulate the user matching scheme in mathematical model, during which resources are allocated to cellular user equipments (CUE) and further be shared by D2D UEs (DUE) in a coordinated manner. Secondly, GA is used to globally search the optimal user matching solution to maximize the system throughput. Furthermore, with some innovations, the more efficient GAAM can be applied to a much wider scope in D2D underlying network. Simulation results show that GAAM achieves nearly the same system throughput comparing to the exhaustive method, which is 30 Mbps bigger than the traditional greedy algorithm based allocation and matching scheme (GreedyAM).
Starting Page	242
Ending Page	247
File Size	500472
Page Count	6
File Format	PDF
ISBN	9781479930869
DOI	10.1109/WCNCW.2014.6934893
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-06
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sociology Genetic algorithm Device-to-Device communication Interference Intra-cell interference mitigation Throughput System throughput Complexity theory Resource management Statistics Resource allocation and user matching Genetic algorithms
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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