Reference : A Framework for Optimizing Multi-cell NOMA: Delivering Demand with Less Resource
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/32067
A Framework for Optimizing Multi-cell NOMA: Delivering Demand with Less Resource
English
You, Lei mailto [Uppsala University, Sweden > Department of Information Technology]
Lei, Lei mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Yuan, Di mailto [Uppsala University, Sweden > Department of Information Technology]
Sun, Sumei mailto [A*STAR, Singapore > Institute for Infocomm Research]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Dec-2017
2017 IEEE Global Communications Conference (GLOBECOM)
Yes
International
2017 IEEE Global Communications Conference (GLOBECOM)
04-12-2017 to 08-12-2017
Singapore
Singapore
[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.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/32067
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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