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Article

Radio Resource Allocation with The Fairness Metric for Low Density Signature OFDM in Underlay Cognitive Radio Networks †

1
School of Electrical Engineering and Informatics, Bandung Institute of Technology, Jl. Ganesha No. 10, Bandung 40132, Indonesia
2
School of Electrical Engineering, Telkom University, Jl. Telekomunikasi No. 1, Bandung 40257, Indonesia
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in: Meylani, L.; Kurniawan, A.; Arifianto, M.S. Interference Limit based Resource Allocation for Low Density Signature OFDM in Underlay Cognitive Radio Networks. In Proceedings of the TENCON 2018, Jeju, Korea, 28–31 October 2018.
Sensors 2019, 19(8), 1921; https://doi.org/10.3390/s19081921
Received: 28 February 2019 / Revised: 29 March 2019 / Accepted: 15 April 2019 / Published: 23 April 2019
(This article belongs to the Special Issue Selected Papers from TENCON 2018)
Low density signature orthogonal frequency division multiplexing (LDS-OFDM), one type of non-orthogonal multiple access (NOMA), is a special case of multi-carrier code division multiple access (MC-CDMA). In LDS-OFDM, each user is allowed to spread its symbols in a small set of subcarriers, and there is only a small group of users that are permitted to share the same subcarrier. In this paper, we study the resource allocation for LDS-OFDM as the multiple access model in cognitive radio networks. In our scheme, SUs are allocated to certain d v subcarriers based on minimum interference or higher SINR in each subcarrier. To overcome the problem where SUs were allocated less than the d v subcarriers, we propose interference limit-based resource allocation with the fairness metric (ILRA-FM). Simulation results show that, compared to the ILRA algorithm, the ILRA-FM algorithm has a lower outage probability and higher fairness metric value and also a higher throughput fairness index. View Full-Text
Keywords: resource allocation; low density signature OFDM; underlay cognitive radio networks resource allocation; low density signature OFDM; underlay cognitive radio networks
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MDPI and ACS Style

Meylani, L.; Kurniawan, A.; Arifianto, M.S. Radio Resource Allocation with The Fairness Metric for Low Density Signature OFDM in Underlay Cognitive Radio Networks. Sensors 2019, 19, 1921. https://doi.org/10.3390/s19081921

AMA Style

Meylani L, Kurniawan A, Arifianto MS. Radio Resource Allocation with The Fairness Metric for Low Density Signature OFDM in Underlay Cognitive Radio Networks. Sensors. 2019; 19(8):1921. https://doi.org/10.3390/s19081921

Chicago/Turabian Style

Meylani, Linda, Adit Kurniawan, and M. S. Arifianto. 2019. "Radio Resource Allocation with The Fairness Metric for Low Density Signature OFDM in Underlay Cognitive Radio Networks" Sensors 19, no. 8: 1921. https://doi.org/10.3390/s19081921

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