NDLI: A graph-based interference topology control for ultra-dense networks

Content Provider	IEEE Xplore Digital Library
Author	Bai, Lu Liu, Tingting Chen, Zhilin Yang, Chenyang
Copyright Year	2014
Description	Author affiliation: School of Electronics and Information Engineering, Beihang University, Beijing, China (Bai, Lu; Liu, Tingting; Chen, Zhilin; Yang, Chenyang)
Abstract	In densely deployed cellular networks, we can proactively avoid interference by controlling interference topology rather than passively mitigating the interference after it has been generated. While there are many ways to control the interference topology, we employ resource allocation as an example to illustrate its performance gain. Traditional graph-based resource allocation methods are often developed from the minimal coloring problem, which can improve the performance of cell-edge users, but suffer from severe loss of network throughput. In this paper, we propose a graph-based resource allocation method to maximize the resource usage efficiency (RUE) under interference-free constraint, which is related to the maximal independent sets of the interference topology graph. Considering that the Max RUE method is inclined to allocate almost all resources to a few cells, causing unfairness among the users, we further propose another graph-based resource allocation method to achieve a good trade-off between the RUE and user fairness. Simulation results show that the cell-edge throughput is significantly boosted with minor degradation in average throughput of the network.
Starting Page	1676
Ending Page	1681
File Size	915420
Page Count	6
File Format	PDF
ISBN	9781479921881
ISSN	21645221
e-ISBN	9781479921867
DOI	10.1109/ICOSP.2014.7015280
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference Resource management Topology Throughput Network topology Indexes Scattering
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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