Downlink resource allocation to total system transmit power minimization in SCMA-based systems for cloud-RAN in 5G networks

Armin Farhadi Zavleh () and Hamidreza Bakhshi ()
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Armin Farhadi Zavleh: Tehran University
Hamidreza Bakhshi: Shahed University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2022, vol. 81, issue 4, No 6, 575-590

Abstract: Abstract In this paper, downlink joint codebook assignment, user association, and power allocation for a sparse code Multiple access (SCMA)-based systems in cloud radio access network (C-RAN) are considered. The principal point of this paper is to achieve a resource allocation to accomplish the minimum total system transmit power subject to SCMA restriction, total available power in radio remote head (RRH), fronthual limitation, and quality of service (QoS) prerequisites for each user with low complexity algorithm. To solve the recommended optimization problem an iterative algorithm considering successive convex approximation (SCA) is utilized. Subsequently, the main problem is separated into two subproblems of joint codebook assignment and user association and power allocation. By intelligently defining user association constraint, subproblem of the joint codebook assignment and user association is converted to integer Linear programming (ILP) and solved with available online software such as CVX. Also, to solve the power allocation subproblem successive convex approximation with low complexity (SCALE) is used. Furthermore in this paper we study the effect of the channel state information (CSI) estimation on system model performance. In the simulation results, the adequacy of the recommended solution to minimize total system transmit power is shown and compared to the non-orthogonal multiple access (NOMA) and the orthogonal frequency division multiple access (OFDMA) in C-RAN.

Keywords: C-RAN; Resource allocation; SCMA; 5G; Total system transmit power minimization (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11235-022-00936-9

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