On the performance of a virtual user pairing scheme to efficiently utilize the spectrum of unpaired users in NOMA
- Authors
- Shahab, Muhammad Basit; Shin, Soo Young
- Issue Date
- Dec-2017
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- User pairing; Conventional non-orthogonal multiple access (C-NOMA); Virtual pairing based NOMA (VP-NOMA); Ergodic sum capacity (ESC); Outage probability (OP); Outage sum capacity (OSC)
- Citation
- PHYSICAL COMMUNICATION, v.25, pp.492 - 501
- Journal Title
- PHYSICAL COMMUNICATION
- Volume
- 25
- Start Page
- 492
- End Page
- 501
- URI
- https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/444
- DOI
- 10.1016/j.phycom.2017.10.007
- ISSN
- 1874-4907
- Abstract
- This paper evaluates the performance of a virtual user pairing scheme that efficiently utilizes the spectrum of unpaired users in non-orthogonal multiple access (NOMA), termed as VP-NOMA. The scheme aims at utilizing the frequency bands of those users which remain unpaired due to the non-uniform distribution of users in a cellular area. We consider a case where the cell edge users are more than the cell center users, so that complete one-to-one correspondence does not exist between all cell center and cell edge users to be accommodated/paired using conventional NOMA (C-NOMA) user pairing. Thus, some cell edge users remain unpaired, and are served using conventional multiple access (OMA) schemes. In such scenario, VP-NOMA pairs a single cell center user with two or more clustered (closely located) cell edge users over non-overlapping frequency bands, thus enabling the cell center user to efficiently use the frequency bands of these previously unpaired cell edge users. Performance of VP-NOMA in terms of ergodic sum capacity (ESC), outage probability (OP), and outage sum capacity (OSC), is analyzed through comprehensive mathematical derivations and simulations for a generalized system model. Moreover, the mathematical analysis is validated through close concordance between analytical and simulation results of ESC, OP, and OSC. (C) 2017 Elsevier B.V. All rights reserved.
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