Reference : A Framework for Optimizing Multi-cell NOMA: Delivering Demand with Less Resource

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/32067

Title :	A Framework for Optimizing Multi-cell NOMA: Delivering Demand with Less Resource
Language :	English
Author, co-author :	You, Lei [Uppsala University, Sweden > Department of Information Technology]
	Lei, Lei [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Yuan, Di [Uppsala University, Sweden > Department of Information Technology]
	Sun, Sumei [A*STAR, Singapore > Institute for Infocomm Research]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	Dec-2017
Main document title :	2017 IEEE Global Communications Conference (GLOBECOM)
Peer reviewed :	Yes
Audience :	International
Event name :	2017 IEEE Global Communications Conference (GLOBECOM)
Event date :	04-12-2017 to 08-12-2017
Event place (city) :	Singapore
Event country :	Singapore
Abstract :	[en] Non-orthogonal multiple access (NOMA) allows multiple users to simultaneously access the same time-frequency resource by using superposition coding and successive interference cancellation (SIC). Thus far, most papers on NOMA have focused on performance gain for one or sometimes two base stations. In this paper, we study multi-cell NOMA and provide a general framework for user clustering and power allocation, taking into account inter-cell interference, for optimizing resource allocation of NOMA in multi-cell networks of arbitrary topology. We provide a series of theoretical analysis, to algorithmically enable optimization approaches. The resulting algorithmic notion is very general. Namely, we prove that for any performance metric that monotonically increases in the cells’ resource consumption, we have convergence guarantee for global optimum. We apply the framework with its algorithmic concept to a multi-cell scenario to demonstrate the gain of NOMA in achieving significantly higher efficiency.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/32067
FnR project :	FnR ; FNR5785257 > Björn Ottersten > SeMIGod > Spectrum Management And Interference Mitigation In Cognitive Radio Satellite Networks > 01/04/2014 > 31/03/2017 > 2013

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