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Electrical Engineering and Systems Science > Signal Processing

arXiv:1801.05353 (eess)
[Submitted on 12 Jan 2018 (v1), last revised 8 Feb 2019 (this version, v2)]

Title:Energy-Efficient Power Loading for OFDM-based Cognitive Radio Systems with Channel Uncertainties

Authors:Ebrahim Bedeer, Osama Amin, Octavia A. Dobre, Mohamed H. Ahmed, Kareem E. Baddour
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Abstract:In this paper, we propose a novel algorithm to optimize the energy-efficiency (EE) of orthogonal frequency division multiplexing-based cognitive radio systems under channel uncertainties. We formulate an optimization problem that guarantees a minimum required rate and a specified power budget for the secondary user (SU), while restricting the interference to primary users (PUs) in a statistical manner. The optimization problem is non-convex and it is transformed to an equivalent problem using the concept of fractional programming. Unlike all related works in the literature, we consider the effect of imperfect channel-stateinformation (CSI) on the links between the SU transmitter and receiver pairs and we additionally consider the effect of limited sensing capabilities of the SU. Since the interference constraints are met statistically, the SU transmitter does not require perfect CSI feedback from the PUs receivers. Simulation results sho w that the EE deteriorates as the channel estimation error increases. Comparisons with relevant works from the literature show that the interference thresholds at the PUs receivers can be severely exceeded and the EE is slightly deteriorated if the SU does no t account for spectrum sensing errors.
Comments: TVT
Subjects: Signal Processing (eess.SP); Information Theory (cs.IT)
Cite as: arXiv:1801.05353 [eess.SP]
  (or arXiv:1801.05353v2 [eess.SP] for this version)
  https://doi.org/10.48550/arXiv.1801.05353

Submission history

From: Ebrahim Bedeer [view email]
[v1] Fri, 12 Jan 2018 17:09:39 UTC (1,182 KB)
[v2] Fri, 8 Feb 2019 14:16:06 UTC (1,294 KB)
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