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Download elastic traffic rate optimization via NOMA protocols

Mokhtari, F ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1109/TVT.2018.2885001
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. Non-orthogonal multiple access (NOMA) is a promising scheme for the fifth generation (5G) of mobile communication systems. In this scheme, transmission to multiple users is performed on the same subchannel using superposition coding and successive interference cancellation. In this paper, we focus on a multi-cell network with two users' data traffic models, namely elastic and streaming. We exploit the NOMA scheme in order to maximize the download elastic traffic rate at cells, without degrading the download streaming traffic rates. Since elastic traffic rates at different cells are interactive, we maximize the total elastic traffic rates assuming either perfect or partial channel state information available at each base station subject to a target rate for streaming users. Because of the interference due to NOMA as well as the interference among different cells, subchannel assignment and power allocation affect the system performance significantly. For this reason, we propose an iterative algorithm to jointly solve the subchannel assignment and the power allocation problem via the Hungarian algorithm and successive convex approximation, respectively. Finally, our simulation results show the efficiency of the proposed algorithm
  6. Keywords:
  7. Non-orthogonal multiple access (NOMA) ; Streaming and elastic traffic users ; Successive convex approximation ; 5G mobile communication systems ; Cells ; Channel state information ; Cytology ; Iterative methods ; Mobile telecommunication systems ; Radio broadcasting ; Elastic traffic ; Hungarian algorithm ; Imperfect CSI ; Non orthogonal multiple accesses (NOMA) ; Successive convex approximations ; Approximation algorithms
  8. Source: IEEE Transactions on Vehicular Technology ; Volume 68, Issue 1 , 2019 , Pages 713-727 ; 00189545 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/8558537