Optimal Power Allocation for Hybrid Cognitive Cooperative Radio Networks with Imperfect Spectrum Sensing
2018 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 10365-10380Article in journal (Refereed) Published
Abstract [en]
In this paper, two optimal power allocation strategies for hybrid interweave-underlay cognitive cooperative radio networks (CCRNs) are proposed to maximize channel capacity and minimize outage probability. The proposed power allocation strategies are derived for the case of Rayleigh fading taking into account the impact of imperfect spectrum sensing on the performance of the hybrid CCRN. Based on the optimal power allocation strategies, the transmit powers of the secondary transmitter and secondary relay are adapted according to the fading conditions, the interference power constraint imposed by the primary network (PN), the interference from the PN to the hybrid CCRN, and the total transmit power limit of the hybrid CCRN. Numerical results are provided to illustrate the effect of the interference power constraint of the PN, arrival rate of the PN, imperfect spectrum sensing, and the transmit power constraint of the hybrid CCRN on channel capacity and outage probability. Finally, comparisons of the channel capacity and outage probability of underlay, overlay, and hybrid interweaveunderlay CCRNs are presented to show the advantages of the hybrid spectrum access. OAPA
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2018. Vol. 6, p. 10365-10380
Keywords [en]
amplify-and-forward relaying, Channel capacity, Cognitive radio, hybrid interweave-underlay scheme, Hybrid power systems, imperfect spectrum sensing, Interference, outage probability, power allocation, Power system reliability, Probability, Resource management, Sensors, Cognitive systems, Fading (radio), Rayleigh fading, Wave interference, Power allocations, Outages
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-15892DOI: 10.1109/ACCESS.2018.2792063ISI: 000428148400001Scopus ID: 2-s2.0-85041174409OAI: oai:DiVA.org:bth-15892DiVA, id: diva2:1182895
2018-02-152018-02-152021-07-02Bibliographically approved