University of Oulu

M. Moltafet, S. Parsaeefard, M. R. Javan and N. Mokari, "Robust Radio Resource Allocation in MISO-SCMA Assisted C-RAN in 5G Networks," in IEEE Transactions on Vehicular Technology, vol. 68, no. 6, pp. 5758-5768, June 2019. doi: 10.1109/TVT.2019.2910306

Robust radio resource allocation in MISO-SCMA assisted C-RAN in 5G networks

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Author: Moltafet, Mohammad1; Parsaeefard, Saeedeh2; Javan, Mohammad R.3;
Organizations: 1Center for Wireless Communication (CWC), University of Oulu, Oulu, Finland
2Iran Telecommunication Research Center, Tehran, Iran
3Department of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, Iran
4Department of ECE, Tarbiat Modares University, Tehran, Iran
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-02-21


In this paper, by considering multiple slices, a downlink transmission of a sparse code multiple access (SCMA) based cloud-radio access network (C-RAN) is investigated. In this setup, by assuming multiple-input and single-output (MISO) transmission mode, a novel robust radio resource allocation is proposed where considering uncertain channel state information, the worst case approach is applied. We consider a radio resource allocation problem with the objective to maximize the total sum rate of users subject to a minimum required rate of each slice and practical limitations of C-RAN and SCMA. To solve the proposed optimization problem in an efficient manner, an iterative method is deployed where beamforming and joint codebook allocation and user association subproblems are sequentially solved. By introducing auxiliary variables, the joint codebook allocation and user association subproblem is transformed into an integer linear programming, and to solve the beamforming optimization problem, minorization-maximization algorithm is applied. Via numerical results, the performance of the proposed algorithm is investigated versus different uncertainty level for different system parameters.

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Series: IEEE transactions on vehicular technology
ISSN: 0018-9545
ISSN-E: 1939-9359
ISSN-L: 0018-9545
Volume: 68
Issue: 6
Pages: 5758 - 5768
DOI: 10.1109/TVT.2019.2910306
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
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