[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.
Disciplines :
Computer science
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)
External co-authors :
yes
Language :
English
Title :
A Framework for Optimizing Multi-cell NOMA: Delivering Demand with Less Resource
Publication date :
December 2017
Event name :
2017 IEEE Global Communications Conference (GLOBECOM)
Event place :
Singapore, Singapore
Event date :
04-12-2017 to 08-12-2017
Audience :
International
Main work title :
2017 IEEE Global Communications Conference (GLOBECOM)
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
FnR Project :
FNR5785257 - Spectrum Management And Interference Mitigation In Cognitive Radio Satellite Networks, 2013 (01/04/2014-31/03/2017) - Bjorn Ottersten