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Outage probability region and optimal power allocation for uplink SCMA systems

Outage probability region and optimal power allocation for uplink SCMA systems
Outage probability region and optimal power allocation for uplink SCMA systems

As a promising non-orthogonal multiple access scheme, sparse code multiple access (SCMA) technology has attracted much attention. Because inter-user interference is present in code domain and multi-user iterative detection is required, user capacity and outage probability analysis for uplink SCMA systems are challenging and have not been presented in the literature. In this paper, the capacity region for uplink SCMA systems is analyzed, based on which the common and individual outage probability regions are calculated. Optimizing the outage probability within the outage probability region can be casted as an Lagrangian duality problem and solved by an iterative descent algorithm, which however imposes high complexity since the expectation operation is required in each iteration. To reduce the computational complexity of solving this Lagrangian duality problem, an adaptive algorithm is developed, which is capable of providing the optimal outage probability and adaptively updating it. Furthermore, a power allocation policy is naturally obtained to achieve the optimized outage probability in the outage probability region.

capacity region, common outage probability region, individual outage probability region, power allocation policy, Sparse code multiple access
0090-6778
Chen, Jiaxuan
e7579414-0e1d-4f99-beb1-31fee8ea1e81
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Xiang, Wei
d53e5b56-ad11-4264-9cb8-10c9d8b9d434
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Chen, Jiaxuan
e7579414-0e1d-4f99-beb1-31fee8ea1e81
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Xiang, Wei
d53e5b56-ad11-4264-9cb8-10c9d8b9d434
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Chen, Jiaxuan, Wang, Zhaocheng, Xiang, Wei and Chen, Sheng (2018) Outage probability region and optimal power allocation for uplink SCMA systems. IEEE Transactions on Communications. (doi:10.1109/TCOMM.2018.2843354).

Record type: Article

Abstract

As a promising non-orthogonal multiple access scheme, sparse code multiple access (SCMA) technology has attracted much attention. Because inter-user interference is present in code domain and multi-user iterative detection is required, user capacity and outage probability analysis for uplink SCMA systems are challenging and have not been presented in the literature. In this paper, the capacity region for uplink SCMA systems is analyzed, based on which the common and individual outage probability regions are calculated. Optimizing the outage probability within the outage probability region can be casted as an Lagrangian duality problem and solved by an iterative descent algorithm, which however imposes high complexity since the expectation operation is required in each iteration. To reduce the computational complexity of solving this Lagrangian duality problem, an adaptive algorithm is developed, which is capable of providing the optimal outage probability and adaptively updating it. Furthermore, a power allocation policy is naturally obtained to achieve the optimized outage probability in the outage probability region.

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More information

e-pub ahead of print date: 4 June 2018
Keywords: capacity region, common outage probability region, individual outage probability region, power allocation policy, Sparse code multiple access

Identifiers

Local EPrints ID: 424847
URI: http://eprints.soton.ac.uk/id/eprint/424847
ISSN: 0090-6778
PURE UUID: 679d8bc3-21dd-4b6b-b7eb-0c06b91c65a3

Catalogue record

Date deposited: 05 Oct 2018 11:49
Last modified: 15 Jan 2020 17:42

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