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Computer Science > Information Theory

arXiv:1404.3165 (cs)
[Submitted on 11 Apr 2014 (v1), last revised 28 Apr 2014 (this version, v2)]

Title:Energy-Efficient Power Adaptation for Cognitive Radio Systems under Imperfect Channel Sensing

Authors:Gozde Ozcan, M. Cenk Gursoy
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Abstract:In this paper, energy efficient power adaptation is considered in sensing-based spectrum sharing cognitive radio systems in which secondary users first perform channel sensing and then initiate data transmission with two power levels based on the sensing decisions (e.g., idle or busy). It is assumed that spectrum sensing is performed by the cognitive secondary users, albeit with possible errors. In this setting, the optimization problem of maximizing the energy efficiency (EE) subject to peak/average transmission power constraints and average interference constraints is considered. The circuit power is taken into account for total power consumption. By exploiting the quasiconcave property of the EE maximization problem, the original problem is transformed into an equivalent parameterized concave problem and Dinkelbach's method-based iterative power adaptation algorithm is proposed. The impact of sensing performance, peak/average transmit power constraints and average interference constraint on the energy efficiency of cognitive radio systems is analyzed.
Comments: To Appear at 2014 IEEE INFOCOM Workshop on Green Cognitive Communications and Computing Networks. Some typos are fixed
Subjects: Information Theory (cs.IT)
Cite as: arXiv:1404.3165 [cs.IT]
  (or arXiv:1404.3165v2 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.1404.3165
Related DOI: https://doi.org/10.1109/INFCOMW.2014.6849317

Submission history

From: Gozde Ozcan [view email]
[v1] Fri, 11 Apr 2014 17:42:00 UTC (23 KB)
[v2] Mon, 28 Apr 2014 05:22:43 UTC (23 KB)
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