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Performance Optimization for Hybrid Two-Way Cognitive Cooperative Radio Networks with Imperfect Spectrum Sensing
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: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 70582-70596Article in journal (Refereed) Published
Abstract [en]

In this paper, we consider a two-way cognitive cooperative radio network (TW-CCRN) with hybrid interweaveunderlay spectrum access in the presence of imperfect spectrum sensing. Power allocation strategies are proposed that maximize the sum-rate and minimize the outage probability of the hybrid TW-CCRN. Specifically, based on the state of the primary network (PN), fading conditions, and system parameters, suitable power allocation strategies subject to the interference power constraint of the PN are derived for each transmission scenario of the hybrid TW-CCRN. Given the proposed power allocation strategies, we analyze the sum-rate and outage probability of the hybrid TW-CCRN over Rayleigh fading taking imperfect spectrum sensing into account. Numerical results are presented to illustrate the effect of the arrival rate, interference power threshold, transmit power of the PN, imperfect spectrum sensing, and maximum total transmit power on the sum-rate and outage probability of the hybrid TW-CCRN. OAPA

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2018. Vol. 6, p. 70582-70596
Keywords [en]
Cognitive cooperative radio network, hybrid interweave-underlay spectrum access, Hybrid power systems, Interference, outage probability, power allocation, Power system reliability, Probability, Relays, Resource management, Sensors, sum-rate, two-way communications, Cognitive radio, Cognitive systems, Cooperative communication, Rayleigh fading, Spectroscopy, Wave interference, Cognitive cooperative radio networks, Power allocations, Spectrum access, Two way communications, Outages
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-17349DOI: 10.1109/ACCESS.2018.2879901ISI: 000453265500001Scopus ID: 2-s2.0-85056331705OAI: oai:DiVA.org:bth-17349DiVA, id: diva2:1266728
Available from: 2018-11-29 Created: 2018-11-29 Last updated: 2019-01-09Bibliographically approved

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Chu, Thi My ChinhZepernick, Hans-Juergen

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