Energy-Efficient Cognitive Transmission With Imperfect Spectrum Sensing
2016 (English)In: IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, E-ISSN 1558-0008, Vol. 34, no 5, 1320-1335 p.Article in journal (Refereed) PublishedText
We investigate the energy efficiency (EE) in cognitive radio networks, where cognitive users are allowed to access a licensed frequency band opportunistically, provided that the licensed band is vacant. In particular, we study the impact of imperfect spectrum sensing and formulate the average EE maximization problem in fading channels as a joint optimization problem of the spectrum sensing duration and the transmit power of cognitive users. Meanwhile, we consider the constraints of both the collision probability between the primary and cognitive transmissions and the outage probability of cognitive transmissions. However, the joint optimization problem subject to the constraints is complicated and it is computationally hard to obtain the optimal solution. Alternatively, we develop two algorithms, i.e., a linear search algorithm and an iterative-based algorithm, with considerable complexity to solve the problem. Numerical results verify the correctness of both algorithms and show that the proposed algorithms can achieve the performance close to that of the exhaustive search algorithm and outperform the state of arts.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. Vol. 34, no 5, 1320-1335 p.
Cognitive radio, cognitive transmissions, energy-efficiency, imperfect sensing
IdentifiersURN: urn:nbn:se:kth:diva-189687DOI: 10.1109/JSAC.2016.2520166ISI: 000377928600020ScopusID: 2-s2.0-84976417478OAI: oai:DiVA.org:kth-189687DiVA: diva2:948389
QC 201607112016-07-112016-07-112016-07-11Bibliographically approved