Interference Management in In-Band D2D Underlaid Cellular Networks

Yang, J; Ding, M; Mao, G; Lin, Z

Interference Management in In-Band D2D Underlaid Cellular Networks

Yang, J

Ding, M Mao, G

Lin, Z

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Cognitive Communications and Networking, 2019, 5 (4), pp. 873 - 885
Issue Date:: 2019-12-01

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Field	Value	Language
dc.contributor.author	Yang, J https://orcid.org/0000-0001-5738-2490	en_US
dc.contributor.author	Ding, M	en_US
dc.contributor.author	Mao, G https://orcid.org/0000-0002-3598-4949	en_US
dc.contributor.author	Lin, Z	en_US
dc.date.issued	2019-12-01	en_US
dc.identifier.citation	IEEE Transactions on Cognitive Communications and Networking, 2019, 5 (4), pp. 873 - 885	en_US
dc.identifier.uri	http://hdl.handle.net/10453/139225
dc.description.abstract	© 2015 IEEE. Recently, it has been standardized by the 3rd generation partnership project (3GPP) that device-to-device (D2D) communications should use uplink resources when coexisting with conventional cellular communications. With uplink resource sharing, both cellular and D2D links cause significant co-channel interference. In this paper, we address the critical issue of interference management in the network considering a practical path loss model incorporating both line-of-sight (LoS) and non-LoS (NLoS) transmissions. To reduce the severe interference caused by active D2D links, we consider a mode selection scheme based on the maximum received signal strength (MRSS) for each user equipment (UE) to control the D2D-to-cellular interference. Furthermore, we analyze the performance in terms of the coverage probability and the area spectral efficiency (ASE) for both the cellular network and the D2D one. Analytical results are obtained and the accuracy of the proposed analytical framework is validated through Monte Carlo simulations. Through our theoretical and numerical analyses, we quantify the performance gains brought by D2D communications in cellular networks and we find an optimum mode selection threshold \beta to maximize the total ASE in the network. This insight is expected to provide a design guideline for D2D mode selections.	en_US
dc.relation.ispartof	IEEE Transactions on Cognitive Communications and Networking	en_US
dc.relation.isbasedon	10.1109/TCCN.2019.2927568	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Interference Management in In-Band D2D Underlaid Cellular Networks	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	5	en_US
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access	*
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	5	en_US

Abstract:

© 2015 IEEE. Recently, it has been standardized by the 3rd generation partnership project (3GPP) that device-to-device (D2D) communications should use uplink resources when coexisting with conventional cellular communications. With uplink resource sharing, both cellular and D2D links cause significant co-channel interference. In this paper, we address the critical issue of interference management in the network considering a practical path loss model incorporating both line-of-sight (LoS) and non-LoS (NLoS) transmissions. To reduce the severe interference caused by active D2D links, we consider a mode selection scheme based on the maximum received signal strength (MRSS) for each user equipment (UE) to control the D2D-to-cellular interference. Furthermore, we analyze the performance in terms of the coverage probability and the area spectral efficiency (ASE) for both the cellular network and the D2D one. Analytical results are obtained and the accuracy of the proposed analytical framework is validated through Monte Carlo simulations. Through our theoretical and numerical analyses, we quantify the performance gains brought by D2D communications in cellular networks and we find an optimum mode selection threshold \beta to maximize the total ASE in the network. This insight is expected to provide a design guideline for D2D mode selections.

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http://hdl.handle.net/10453/139225