Quality of service assessment of opportunistic spectrum access: a medium access control approach

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

doi:10.1109/mwc.2008.4653128

Cited by 30 publications

(18 citation statements)

References 21 publications

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“…This communication technique is called opportunistic spectrum access (OSA). More discussion on OSA and its relation to cognitive radio can be found in [1]- [4].…”

mentioning

confidence: 99%

“…Whenever the SU nodes make a wrong observation about channel availability, their transmissions will harm the operation of the PU. Considering the QoS of the SU, it is clear that the QoS is largely determined by the channel utilization intensity and traffic pattern of the PUs [1]. The question arises as to whether it is acceptable for the PU that the SU opportunistically claims its channels (because the SU can never guarantee to the PU the avoidance of harmful interference since any detection process is prone to errors).…”

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confidence: 99%

“…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%

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

Pawełczak

Pollin

et al. 2009

IEEE Trans. Veh. Technol.

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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“…This communication technique is called opportunistic spectrum access (OSA). More discussion on OSA and its relation to cognitive radio can be found in [1]- [4].…”

mentioning

confidence: 99%

mentioning

confidence: 99%

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

Pawełczak

Pollin

et al. 2009

IEEE Trans. Veh. Technol.

108

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“…For Table Table 2 Table Table 2, we also use the shaded tables as an example. If the value of SOP located at the effective inference interval I 3 , and the value of LMP located at the effective inference interval I 2 , I 3 If SOP is M and LMP is L, then SMD is S, If SOP is M and LMP is M, then SMD is M If SOP is H and LMP is L, then SMD is S, If SOP is H and LMP is M, then SMD is S If we do not use interval Mamdani fuzzy inference, there will be twenty five fuzzy rules used under the same case. Due to the limited space, we will not list the fuzzy rules.…”

Section: Spectrum Migration Approach Based On Pre-decision Aid and Inmentioning

confidence: 99%

Spectrum Migration Approach Based on Pre-decision Aid and Interval Mamdani Fuzzy Inference in Cognitive Radio Networks

Wang

et al. 2014

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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This study intends to improve the QoS of SUs and CRNs performance. A novel spectrum migration approach based on pre-decision aid and interval Mamdani fuzzy inference is presented. we first define spectrum migration factors as spectrum characteristic metrics for spectrum migration decision. In addition, we use predecision aid to reduce system complexity and improve spectrum migration efficiency. To shorten spectrum migration decision time and seek the optimal spectrum holes, interval Mamdani fuzzy inference is put forward. Finally, simulation results show the proposed approach can inhibit the upward trend of service retransmission probability and average migration times effectively, and improve the effective utilization of CRNs spectrum resource significantly.

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“…Cognitive Radios (CRs) supporting Opportunistic Spectrum Access (OSA) [1] emerged as a new paradigm that offers an effective solution to the problem of spectrum scarcity. However, the increased variance in spectrum availability combined with the end users' diverse characteristics and Quality of Service (QoS) requirements poses a number of challenges that need to be addressed.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation with MAC Layer Node Cooperation in Cognitive Radio Networks

Merentitis¹,

Triantafyllopoulou²

2010

International Journal of Digital Multimedia Broadcasting

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An algorithm for cooperative Dynamic Spectrum Access in Cognitive Radio networks is presented. The proposed algorithm utilizes Medium Access Control layer mechanisms for message exchange between secondary nodes that operate in license exempt spectrum bands, in order to achieve interference mitigation. A fuzzy logic reasoner is utilized in order to take into account the effect of the coexistence of a large number of users in the interference as well as to cope for uncertainties in the message exchange, caused by the nodes' mobility and the large delays in the updating of the necessary information. The proposed algorithm is applied in Filter Bank Multicarrier, as well as Orthogonal Frequency Division Multiplexing systems, and its performance is evaluated through extensive simulations that cover a wide range of typical scenarios. Experimental results indicate improved behaviour compared to previous schemes, especially in the case of uncertainties that cause underestimation of the interference levels.

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Quality of service assessment of opportunistic spectrum access: a medium access control approach

Cited by 30 publications

References 21 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

Spectrum Migration Approach Based on Pre-decision Aid and Interval Mamdani Fuzzy Inference in Cognitive Radio Networks

Resource Allocation with MAC Layer Node Cooperation in Cognitive Radio Networks

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