Optimization of channel sensing time and order for cognitive radios

Ewaisha, Ahmed; Sultan, Ahmed; ElBatt, Tamer

doi:10.1109/wcnc.2011.5779367

Cited by 16 publications

(13 citation statements)

References 11 publications

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“…where 1 M is a vector with M ones. Let λ D be the Lagrange multiplier associated with the delay constraint in (5). The Lagrangian associated with problem (5) is…”

Section: A Two-level Power Control: a Special Casementioning

confidence: 99%

“…The channels were assumed to have heterogeneous channel availability probabilities. Their work was extended in [5] to optimize over the channel sensing duration that was assumed fixed in [4]. Optimal Stopping Rule has been considered in [6] as well, where the authors generalized the setup to heterogeneous fading channels and devised a polynomial-time algorithm to find the optimal stopping rule.…”

Section: Introductionmentioning

confidence: 99%

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Throughput maximization in multi-channel cognitive radio systems with delay constraints

Ewaisha

Tepedelenlioğlu

2013

2013 Asilomar Conference on Signals, Systems and Computers

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Abstract-We study the throughput-vs-delay trade-off in an overlay multi-channel single-secondary-user cognitive radio system. Due to the limited sensing capabilities of the cognitive radio user, channels are sensed sequentially. Maximizing the throughput in such a problem is well-studied in the literature. Yet, in real-time applications, hard delay constraints need to be considered besides throughput. In this paper, optimal stopping rule and optimal power allocation are discussed to maximize the secondary user's throughput, subject to an average delay constraint. We provide a low complexity approach to the optimal solution of this problem. Simulation results show that this solution allows the secondary user to meet the delay constraint without sacrificing throughput significantly. It also shows the benefits of the optimal power allocation strategy over the constant power allocation strategy.

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“…where 1 M is a vector with M ones. Let λ D be the Lagrange multiplier associated with the delay constraint in (5). The Lagrangian associated with problem (5) is…”

Section: A Two-level Power Control: a Special Casementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Throughput maximization in multi-channel cognitive radio systems with delay constraints

Ewaisha

Tepedelenlioğlu

2013

2013 Asilomar Conference on Signals, Systems and Computers

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“…Which, in turn, improves the overall performance of CRN MAC protocol in terms of throughput, delay, and energy efficiency. Therefore, finding better sensing scheme and channel selection order in CRN MAC protocol has been a problem of interest in the literature [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Efficient idle channel discovery mechanism through cooperative parallel sensing in cognitive radio network

Khan

Hussain

Shakeel

et al. 2018

J Wireless Com Network

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Finding holes from the underutilized portion of spectrum at various times and locations is the most important function in cognitive radio networks (CRNs). This requires efficient sensing policy at the MAC layer that can discover more idle channels in less time. Whereas, the sensing policy depends on the channel sensing order that decides how a secondary user senses the primary user band in minimum period of time. Spectrum sensing policies for searching idle channels from the underutilized primary band can significantly affect the performance of secondary user in terms of throughput, reliability, and energy efficiency. In this paper, we have analyzed MAC protocol structure for ad hoc radio networks which used random channel sensing. This results in poor performance, either due to the channels being skipped or the time for sensing the band being significantly longer. We propose a parallel sensing scheme with sequential channel selection order as part of MAC protocol, which can discover all the free channels in the primary user band in less time. For the proposed scheme, we have performed analysis over the number of channels sensed and the number of idle channels discovered. Furthermore, energy efficiency and throughput of the system have also been evaluated. The results show considerable improvement for the proposed scheme when compared with the contemporary scheme.

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“…This type of problems usually arises in areas of statistics, where the action is taken with the aim of testing an hypothesis or estimating a parameter. Considering seminal and recent work, optimal stopping theory has been applied to opportunistic scheduling [9] and spectrum sensing [10], [11], but not to power minimization; which is the problem we will consider in this context. In [9], the authors studied optimal transmission scheduling policies in cognitive radio networks.…”

Section: Introductionmentioning

confidence: 99%

“…In [10], the authors studied joint channel sensing and probing scheme and they proved that this scheme can achieve significant throughput gains over the conventional mechanism that uses sensing alone. However, in [11], authors studied the problem of optimizing the channel sensing parameters in the presence of sensing errors. They proposed suboptimal solutions that significantly reduce the complexity and maintain a near-optimal throughput.…”

Section: Introductionmentioning

confidence: 99%

Power Minimization through Packet Retention in Cognitive Radio Sensor Networks under Interference and Delay Constraints: An Optimal Stopping Approach

Elnakeeb¹,

ElSayed²,

Khairy³

2016

EAI Endorsed Transactions on Cognitive Communications

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The aim of this article is twofold: First, we study the problem of packets retention in a queue with the aim of minimizing transmission power in delay-tolerant applications. The problem is classified as an optimal stopping problem. The optimal stopping rule has been derived as well. Optimal number of released packets is determined in each round through an Integer Linear Programming (ILP) optimization problem. This transmission paradigm is tested via simulations in an interference-free environment leading to a significant reduction in transmission power (at least 55%). Second, we address the problem of applying the scheme of packets retention through the Optimal Stopping Policy (OSP) to underlay Cognitive Radio Sensor Networks (CRSNs) where strict interference threshold does exist. Simulations proved that our scheme outperforms traditional transmission method as far as dropped packet rate and Average Power per Transmitted Packet (APTP) are concerned.

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Optimization of channel sensing time and order for cognitive radios

Cited by 16 publications

References 11 publications

Throughput maximization in multi-channel cognitive radio systems with delay constraints

Throughput maximization in multi-channel cognitive radio systems with delay constraints

Efficient idle channel discovery mechanism through cooperative parallel sensing in cognitive radio network

Power Minimization through Packet Retention in Cognitive Radio Sensor Networks under Interference and Delay Constraints: An Optimal Stopping Approach

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