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Symbol error rate and achievable rate of cognitive cooperative radio networks utilizing non-orthogonal multiple access
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
2018 (English)In: 2018 IEEE 7th International Conference on Communications and Electronics, ICCE 2018, Institute of Electrical and Electronics Engineers Inc. , 2018, Vol. Code 141951, p. 33-38Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we study the employment of power-domain non-orthogonal multiple access (NOMA) concepts for a cooperative cognitive relay network (CCRN) downlink system in order to allow a base station (BS) to simultaneously transmit signals to a primary user (PU) and a secondary user (SU). As such, the considered system falls into the field of cognitive radio inspired power-domain NOMA. In this scheme, the interference power constraint of the PU imposed to SUs in conventional underlay CCRNs is replaced by controlling the power allocation coefficients at the BS and relay. Specifically, expressions for the symbol error rates at the PU and SU for different modulation schemes as well as expressions for the achievable rates are derived. On this basis, the effect of system parameters such as total transmit power and power allocation coefficients on the performance of the CCRN with power-domain NOMA is numerically studied. These numerical results provide insights into selecting favorable operation modes of the CCRN employing power-domain NOMA. © 2018 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2018. Vol. Code 141951, p. 33-38
Keywords [en]
Electronics engineering, Electronics industry, Cognitive cooperative radio networks, Cognitive relay networks, Interference power constraints, Modulation schemes, Non orthogonal multiple accesses (NOMA), Non-orthogonal multiple access, Symbol error rate (SER), Total transmit power, Cognitive radio
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-17427DOI: 10.1109/CCE.2018.8465739Scopus ID: 2-s2.0-85057619071ISBN: 9781538636787 (print)OAI: oai:DiVA.org:bth-17427DiVA, id: diva2:1270459
Conference
7th IEEE International Conference on Communications and Electronics, ICCE 2018, Saigon Morin HotelHue; Viet Nam, 18 July 2018 through 20 July 2018
Available from: 2018-12-13 Created: 2018-12-13 Last updated: 2018-12-13Bibliographically approved

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Chu, Thi My ChinhZepernick, Hans-Juergen

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