University of Oulu

M. S. Elbamby, M. Bennis, W. Saad, M. Debbah and M. Latva-aho, "Resource optimization and power allocation in in-band full duplex-enabled non-orthogonal multiple access networks," in IEEE Journal on Selected Areas in Communications, vol. 35, no. 12, pp. 2860-2873, Dec. 2017. doi: 10.1109/JSAC.2017.2726218

Resource optimization and power allocation in in-band full duplex-enabled non-orthogonal multiple access networks

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Author: Elbamby, Mohammed1; Bennis, Mehdi1,2; Saad, Walid3;
Organizations: 1Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
2Department of Computer Engineering, Kyung Hee University, Seoul 17104, South Korea
3Wireless@VT, Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061 USA
4Large Networks and System Group, CentraleSupélec, Université Paris-Saclay, 91192 Gif-s ur-Yvette, France
5Mathematical and Algorithmic Sciences Lab, Huawei France, 92100 Paris, France
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.8 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-07-05


In this paper, the problem of uplink (UL) and downlink (DL) resource optimization, mode selection, and power allocation is studied for wireless cellular networks under the assumption of in-band full duplex base stations, non-orthogonal multiple access (NOMA) operation, and queue stability constraints. The problem is formulated as a network utility maximization problem for which a Lyapunov framework is used to decompose it into two disjoint subproblems of auxiliary variable selection and rate maximization. The latter is further decoupled into a user association and mode selection (UAMS) problem and a UL/DL power optimization (UDPO) problem that are solved concurrently. The UAMS problem is modeled as a many-to-one matching problem whose goal is to associate users to small cell base stations and select transmission mode (half-/full-duplex and orthogonal/NOMA). Then, an algorithm is proposed to solve the problem by finding a pairwise stable matching. Subsequently, the UDPO problem is formulated as a sequence of convex problems and is solved using the concave-convex procedure. Simulation results demonstrate that the proposed scheme is effective in allocating UL and DL power levels after dynamically selecting the operating mode and the served users, under different traffic intensity conditions, network density, and self-interference cancellation capability. The proposed scheme is shown to achieve up to 63% and 73% of gains in UL and DL packet throughput, and 21% and 17% in UL and DL cell edge throughput, respectively, compared with the existing baseline schemes.

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Series: IEEE journal on selected areas in communications
ISSN: 0733-8716
ISSN-E: 1558-0008
ISSN-L: 0733-8716
Volume: 35
Issue: 12
Pages: 2860 - 2873
DOI: 10.1109/JSAC.2017.2726218
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This research has been supported by TEKES grant 2364/31/2014, the Academy of Finland CARMA project, the U.S. National Science Foundation under Grant CNS-1460316, and the ERC Starting Grant 305123 MORE (Advanced Mathematical Tools for Complex Network Engineering).
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