Performance of Joint Spectrum Sensing and MAC Algorithms for Multichannel Opportunistic Spectrum Access Ad Hoc Networks

Park, Jihoon; Pawełczak, Przemyslaw; Čabric, Danijela

doi:10.1109/tmc.2010.186

Cited by 17 publications

(59 citation statements)

References 43 publications

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“…In [19], the average SU throughput and the average probability of collision between the SU and PU are considered as performance metrics. The authors in [20] present an analytical framework to compare different spectrum sensing-access policies. They focus on the throughput of the SUs as a comparative metric for the performance assessment, and propose a new spectrum sensing MAC protocol, called truncated time division multiple access.…”

mentioning

confidence: 99%

Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks

Shokri‐Ghadikolaei

Sheikholeslami

Nasiri-Kenari

2013

IEEE Trans. Wireless Commun.

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Abstract-Effective spectrum sensing strategies enable cognitive radios (CRs) to identify and opportunistically transmit on under-utilized spectral resources. In this paper, sequential channel sensing problems for single and multiple secondary users (SUs) networks are effectively modeled through finite state Markovian processes. More specifically, a model for single user case is introduced and its performance is validated through analytical analysis. Then, in order to address multiple SUs case, this model is extended to include the modified p-persistent access (MPPA) protocol. Since the scheme utilized experiences a high level of collision among the SUs, to mitigate the problem appropriately, p-persistent random access (PPRA) protocol is considered, which offers higher average throughput for SUs by statistically distributing their loads among all channels. The structure and performance of the proposed schemes are discussed in detail, and a set of illustrative numerical results is presented to validate and compare the performance of the proposed senseaccess strategies.Index Terms-Cognitive radio, spectrum handover, sequential channel sensing, queuing networks, secondary user's throughput.

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confidence: 99%

Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks

Shokri‐Ghadikolaei

Sheikholeslami

Nasiri-Kenari

2013

IEEE Trans. Wireless Commun.

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“…For OSA MAC protocols in which the CR users buffer the packets until the operating channel becomes available again [23], the distribution of R is identical to the channel unavailability period distribution. For network with a channel switching policy in which when the channel becomes unavailable, the CR users enter a competition with other CR users to be granted access to a new channel [23], the distribution of R will depend on the MAC competition protocol (e.g., slotted Aloha), the number of users, the number of available channels, etc. Even if the user is blocked due to other users transmitting on all channels, the total time of blocking until a successful channel reservation is included in the recovery time.…”

Section: Cognitive Radio Queue Modelmentioning

confidence: 99%

“…In this case study, we compare two common OSA strategies which, following the detection of primary users activity on the operating channel, either switch to a new channel or buffer packets while waiting for the primary users to release the channel [23,29]. It is assumed that there is a large set of similar channels with exponentially distributed availability (I) and unavailability periods (U).…”

Section: Case Study: Comparison Between Switching and Buffering Osa Smentioning

confidence: 99%

Priority queueing models for cognitive radio networks with traffic differentiation

Azarfar

Frigon

Sansò

2014

J Wireless Com Network

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In this paper, we present a new queueing model providing the accurate average system time for packets transmitted over a cognitive radio (CR) link for multiple traffic classes with the preemptive and non-preemptive priority service disciplines. The analysis considers general packet service time, general distributions for the channel availability periods and service interruption periods, and a service-resume transmission. We further introduce and analyze two novel priority service disciplines for opportunistic spectrum access (OSA) networks which take advantage of interruptions to preempt low priority traffic at a low cost. Analytical results, in addition to simulation results to validate their accuracy, are also provided and used to illustrate the impact of different OSA network parameters on the average system time. We particularly show that, for the same average CR transmission link availability, the packet system time significantly increases in a semi-static network with long operating and interruption periods compared to an OSA network with fast alternating operating and interruption periods. We also present results indicating that, due to the presence of interruptions, priority queueing service disciplines provide a greater differentiated service in OSA networks than in traditional networks. The analytical tools presented in this paper are general and can be used to analyze the traffic metrics of most OSA networks carrying multiple classes of traffic with priority queueing service differentiation.

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“…In [9] and [10], the authors investigate the impacts of sensing errors on the system performance and try to alleviate their negative effects. In [11], by adopting the fusion strategy of collaborative spectrum sensing, the authors design a multi-channel MAC protocol. However, these existing works have all focused on the cases that each user uses only a single channel without considering the cases with spectrum aggregation.…”

Section: Introductionmentioning

confidence: 99%

Joint spectrum sensing and access for stable dynamic spectrum aggregation

Wang¹,

Wu²,

Zhang³

et al. 2015

J Wireless Com Network

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Spectrum aggregation is an emerging technology to satisfy the data rate requirement of broadband services for next-generation wireless communication systems. In dynamic spectrum environment, in which the spectrum availability is time-varying, it is quite challenging to maintain the stability of spectrum aggregation. In this paper, we investigate the spectrum sensing and access schemes to minimize the times of channel switching for achieving stable dynamic spectrum aggregation, taking into consideration the hardware limitations of spectrum sensing and aggregation capability. We develop an analytical framework for the joint spectrum sensing and access problem based on partially observable Markov decision process (POMDP). Especially, we derive the reward function by estimation of the stability of different spectrum sensing and access strategies. Based on the POMDP framework, we propose a rollout-based suboptimal spectrum sensing and access scheme which approximates the value function of POMDP, and propose a differential training method to improve its robustness. It is proved that the rollout policy achieves performance improvement over the basis heuristics. The simulation results show that the proposed POMDP-based spectrum sensing and access scheme improves the system stability significantly and achieves near-optimal performance with a much lower complexity.

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Performance of Joint Spectrum Sensing and MAC Algorithms for Multichannel Opportunistic Spectrum Access Ad Hoc Networks

Cited by 17 publications

References 43 publications

Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks

Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks

Priority queueing models for cognitive radio networks with traffic differentiation

Joint spectrum sensing and access for stable dynamic spectrum aggregation

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