Moltafet, Mohammad, Azmi, paeiz, Moltafet, Mohammad, Karimi Kelayeh, Ali, Foruzesh, Moslem (2015). Resource Allocation in SCMA-based System. , 15(1), 9-14.
Mohammad Moltafet; paeiz Azmi; Mohammad Moltafet; Ali Karimi Kelayeh; Moslem Foruzesh. "Resource Allocation in SCMA-based System". , 15, 1, 2015, 9-14.
Moltafet, Mohammad, Azmi, paeiz, Moltafet, Mohammad, Karimi Kelayeh, Ali, Foruzesh, Moslem (2015). 'Resource Allocation in SCMA-based System', , 15(1), pp. 9-14.
Moltafet, Mohammad, Azmi, paeiz, Moltafet, Mohammad, Karimi Kelayeh, Ali, Foruzesh, Moslem Resource Allocation in SCMA-based System. , 2015; 15(1): 9-14.

Resource Allocation in SCMA-based System

The Modares Journal of Electrical Engineering
Article 2, Volume 15, Issue 1, 2015, Pages 9-14    PDF (942.07 K)
Authors
Mohammad Moltafet1; paeiz Azmi* 2; Mohammad Moltafet1; Ali Karimi Kelayeh3; Moslem Foruzesh3
1M.Sc. student, Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran Iran,
2Full Professor, Department of Electrical and computer Engineering, Tarbiat Modares University, Tehran Iran
3M.Sc. student, Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran Iran
Abstract
In this paper, downlink resource allocation for a sparse code multiple access (SCMA) based heterogeneous cellular networks (HCN) is investigated. The main aim of this paper is to obtain joint power allocation and codebook assignment to achieve the least total system transmit power. In this regard, the proposed objective function is formulated as total transmit power subject to users minimum rate requirement, total available power in each base station (BS), and SCMA constraint. To solve the proposed problem an iterative algorithm considering successive convex approximation (SCA) is applied. Also,convergence of the iterative method is investigated. In the simulation results the effectiveness of proposed resource allocation method are shown.
Keywords
Index Terms– SCMA; resource allocation; energy effi-ciency; successive convex approximation (SCA)
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