State of the Art in Opportunistic Spectrum Access Medium Access Control Design

Pawełczak, Przemysław; Pollin, Sofie; So, H.-S.W.; Motamedi, A.; Bahai, A.; Prasad, R. Venkatesha; Hekmat, R.

doi:10.1109/crowncom.2008.4562475

Cited by 16 publications

(11 citation statements)

References 25 publications

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“…1 The identified protocol features that are important in the context of OSA are described in detail in the succeeding sections. More discussion on the identified features can be found in [1] and [12].…”

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confidence: 99%

Performance Analysis of Multichannel Medium Access Control Algorithms for Opportunistic Spectrum Access

Pawełczak

Pollin

et al. 2009

IEEE Trans. Veh. Technol.

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108

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Abstract-In this paper, different control channel (CC) implementations for multichannel medium access control (MAC) algorithms are compared and analyzed in the context of opportunistic spectrum access (OSA) as a function of spectrum-sensing performance and licensed user activity. The analysis is based on a discrete Markov chain model of a subset of representative multichannel OSA MAC classes that incorporates physical layer effects, such as spectrum sensing and fading. The analysis is complemented with extensive simulations. The major observations are given as follows: 1) When the CC is implemented through a dedicated channel, sharing such dedicated channel with the licensed user does not significantly decrease the throughput achieved by the OSA network when the data packet sizes are sufficiently large or the number of considered data channels is small. 2) Hopping OSA MACs, where the CC is spread over all channels, are less susceptible to licensed user activity than those with a dedicated CC (in terms of both average utilization and on/off times). 3) Scanning efficiency has a large impact on the achievable performance of licensed and OSA users for all analyzed protocols. 4) The multiple rendezvous MAC class, which has yet to be proposed in OSA literature, outperforms all the multichannel MAC designs analyzed in this paper.

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confidence: 99%

Performance Analysis of Multichannel Medium Access Control Algorithms for Opportunistic Spectrum Access

Pawełczak

Pollin

et al. 2009

IEEE Trans. Veh. Technol.

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108

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“…4. Note that the ack packet of the last (or the unique) data fragment is not included in (22) because it is considered separately in (12) as an E[t rsp ]. DATA FF (x), DATA FL (x) are the transmission times for the first and last fragment, respectively, given by:…”

Section: Data Packet Durationmentioning

confidence: 99%

“…Although centralized approaches, including the IEEE 802.22 standard, are a large part of the on-going research, distributed OSA MAC can lead to the implementation of autonomous, fast deployment, low cost networks for a variety of applications from emergency-rescue networks to sensor networks and commercial mobile networks. An extensive overview and a taxonomy for most of the proposed OSA MAC protocols can be found in [22].…”

Section: Introductionmentioning

confidence: 99%

Throughput Analysis of the Intermittent DCF for Opportunistic Spectrum Access

Adamis

Μαλιάτσος

Cambourakis

et al. 2009

Wireless Pers Commun

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Recently, the opportunistic spectrum access (OSA) technologies have drawn a lot of the research community attention, because, by utilizing cognitive radio (CR) capabilities, they provide us with solutions to compensate for the spectrum underutilization. The MAC design is an important aspect of this on-going research. In this paper we study the performance of the distributed coordination function (DCF) in the OSA environment, which requires periodic intermissions to the MAC operation for spectrum scan procedures and opportunities identification. We present several modifications to the DCF that render it robust and operational in demanding environments of frequent spectrum scan procedures and low achievable transmission rates. We also present an analytical model for the throughput calculation of the resulted Intermittent DCF, which is based on the Bianchi's Markov model and extends it so as to include the intermittent nature of the OSA environment. The proposed model is validated through simulations. A new parameter, controllable by the CR terminals, is used to optimize the throughput performance in realistic OSA scenarios. Using the presented analytical model we evaluate the performance of the Intermittent DCF under the effect of certain design parameters.

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“…It has been well accepted within the wireless communications research community to explore the underutilized portions of the radio spectrum using new-generation smart programmable radios, without harmfully interfering with the licensed primary users (PUs). Early research studies on CRNs mainly focused on physical layer aspects such as spectrum sensing [5] and power/rate controlling [6], and link layer aspects such as channel access coordination [7]. Further, the unpredictable nature of the opportunistic channels limits the research work on CRNs to best effort services without any strict quality of service (QoS) requirements.…”

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confidence: 99%

Service Response Time of Elastic Data Traffic in Cognitive Radio Networks

Gunawardena

Zhuang

2013

IEEE J. Select. Areas Commun.

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Abstract-Quality of service (QoS) support over cognitive radio networks (CRNs) is challenging due to the random spectrum availability. Elastic data traffic is a popular service whose service response time is an important QoS parameter. We analyze the mean response time of elastic data traffic service operating over a single channel time-slotted centralized CRN under three main service disciplines, namely, shortest processing time without preemption (SPTNP), shortest processing time with preemption, and shortest remaining processing time, in comparison with the processor sharing (PS) service discipline. It is shown that the SPTNP is a better choice over the PS service discipline when the traffic load is high, and that the preemption reduces the mean response time when the data file size (service time requirement) follows a heavy tailed distribution. The response time analysis can be used for call admission control to ensure service satisfaction.Index Terms-Cognitive radio network, elastic data traffic, quality-of-service, response time, shortest processor time, shortest remaining processor time, processor sharing.I. I The spectrum underutilization [2] is becoming a major setback for the development of next generation wireless networks. Among proposed solutions, the concept of cognitive radio networks (CRNs) [3][4] has become a popular choice due to its flexibility and adaptability to use in any available frequency band. It has been well accepted within the wireless communications research community to explore the underutilized portions of the radio spectrum using new-generation smart programmable radios, without harmfully interfering with the licensed primary users (PUs). Early research studies on CRNs mainly focused on physical layer aspects such as spectrum sensing [5] and power/rate controlling [6], and link layer aspects such as channel access coordination [7]. Further, the unpredictable nature of the opportunistic channels limits the research work on CRNs to best effort services without any strict quality of service (QoS) requirements. As the demand for wireless multimedia services keeps on increasing, supporting QoS-aware services over CRNs is essential.Research over CRNs. The impact of primary user activities on traffic congestion and the economic interaction between secondary user (SU) and primary network operators are studied in [12] and [13], respectively, when the SUs are data users. This type of services does not require strict QoS as in conversational or streaming services, but has a moderate service requirement in the form of response time. The response time of a service request (file) is defined as the time elapsed from the instant it is placed by a user to the instant that the service (file transmission) is completed. A. Related WorkMost of the resource allocation/scheduling works in CRNs mainly focus on throughput optimization/fairness, and they do not deal with any specific data file length distributions or response time as a performance metric. A performance analysis of elastic traff...

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State of the Art in Opportunistic Spectrum Access Medium Access Control Design

Cited by 16 publications

References 25 publications

Performance Analysis of Multichannel Medium Access Control Algorithms for Opportunistic Spectrum Access

Performance Analysis of Multichannel Medium Access Control Algorithms for Opportunistic Spectrum Access

Throughput Analysis of the Intermittent DCF for Opportunistic Spectrum Access

Service Response Time of Elastic Data Traffic in Cognitive Radio Networks

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