Delay Sensitive Communications over Cognitive Radio Networks

Wang, Feng; Huang, Jianwei; Zhao, Yuping

doi:10.1109/twc.2012.020812.110133

Cited by 31 publications

(27 citation statements)

References 24 publications

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“…Mean value of UST of primary users represents a reasonable assumption in CRNs where a sensor network having enough sensors performing collaborative sensing of the radio environment in space and time is employed, as it is considered in [34,35]. Modeling spectrum sensing error in CRNs has been addressed in [4,[27][28][29][30].…”

Section: Srmentioning

confidence: 99%

Modeling and performance analysis for mobile cognitive radio cellular networks

Corral-Ruiz

Cruz-Perez

Castellanos-Lopez³

et al. 2017

J Wireless Com Network

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In this paper, teletraffic performance and channel holding time characterization in mobile cognitive radio cellular networks (CRCNs) under fixed-rate traffic with hard-delay constraints are investigated. To this end, a mathematical model to capture the effect of interruption of ongoing calls of secondary users (SUs) due to the arrival of primary users (PUs) is proposed. The proposed model relies on the use of an independent potential interruption time associated with the instant of possible interruption for each ongoing call in every visited cell. Then, a Poisson process is used to approximate the secondary users' call interruption process due to the arrival of PUs. Based on this model and considering that unencumbered service time (UST) and cell dwell time (CDT) of SUs are independent generally distributed random variables, analytical formulae for both the probability distributions of channel holding times and inter-cell handoff attempts rate are derived. Also, a novel approximated closed-form mathematical expression for call forced termination probability of SUs is derived under the restriction that the UST is exponentially distributed. Additionally, by considering all the involved time variables exponentially distributed and employing fractional channel reservation to prioritize intra-and inter-cell handoff call attempts over new call requests, a queuing analysis to evaluate the call-level performance of CRCNs in terms of the maximum Erlang capacity is developed. The accuracy of our proposed mathematical models is extensively investigated under a variety of different evaluation scenarios for all the considered call-level performance metrics. Numerical results demonstrate that channel holding time statistics are highly sensitive to both interruption probability of ongoing secondary calls and type of probability distribution functions used to model CDT and UST. From the teletraffic perspective, numerical results reveal that the system Erlang capacity largely depends on the relative value of the mean secondary service time to the mean primary service time and the primary channels' utilization factor. Also, the obtained results show that there exists a critical utilization factor of the primary resources from which it is no longer possible to guarantee the required quality of service of SUs and, therefore, services with hard-delay constraints cannot be even supported in CRCNs.

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Section: Srmentioning

confidence: 99%

Modeling and performance analysis for mobile cognitive radio cellular networks

Corral-Ruiz

Cruz-Perez

Castellanos-Lopez³

et al. 2017

J Wireless Com Network

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“…Ref. [25] and [14] study profit maximization in multi-class loss networks with streaming traffic. The majority of these works assume Poisson call (flow) arrivals.…”

Section: Related Workmentioning

confidence: 99%

“…The majority of previous work on DSA networks consider admission control and pricing of voice and streaming traffic in loss networks [3,14,23,25]. In such networks, bandwidth is partitioned into channels with fixed capacity, thus limiting the maximum allowable number of users in the network to the total number of channels and fixing the bandwidth allocated to each user.…”

Section: Introductionmentioning

confidence: 99%

Admission Control and Profitability Analysis in Dynamic Spectrum Access Data Networks

Kockan

Starobinski

2014

Proceedings of the 7th International Conference on Performance Evaluation Methodologies and Tools

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New regulations grant network service providers with the right to lease their spectrum to short-term leased secondary users (SUs) for opportunistic usage. In this work, we tackle the challenge of determining admission control and pricing policies on SUs that guarantee profitability under general secondary demand and general traffic models, and accurately reflect the operation of modern cellular data networks (e.g., LTE) in which resources are shared rather than rigidly partitioned. We first analyze the joint problem of bandwidth allocation and admission control of elastic secondary users. We assume Poisson session arrivals, where each session is composed of arbitrarily distributed, and possibly correlated, on and off periods. Under balanced bandwidth allocation, we show that the steady state distribution of the number of active users in the network is insensitive to traffic characteristics beyond their means. This result holds for arbitrary occupancy-based admission control policies on SUs. Next, we prove that the optimal occupancy-based admission control policy is of threshold type, which means that secondary user arrivals are accepted when the total number of active users in the network is below a certain threshold; otherwise, they are rejected. Finally, we identify a price, referred to as the break-even price, and an admission control policy which, together, ensure profitability for any price greater than the break-even price, irrespective of the shape of the secondary demand function.

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“…These prematurely terminated secondary sessions degrade quality of service (QoS) and network throughput. Thus, supporting QoS in CRNs is a challenge due to the unpredictable nature of channel availability [3]. Call admission control (CAC) is critical for supporting QoS in CRNs [3]- [4].…”

Section: Introductionmentioning

confidence: 99%

Erlang capacity in coordinated cognitive radio networks with stringent-delay applications

Castellanos-Lopez

Cruz-Perez

Rivero-Ángeles³

et al. 2013

2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Due to the unpredictable nature of channel availability, supporting the quality of service (QoS) of stringent delay sensitive traffic in cognitive radio networks (CRNs) is very challenging. Stringent delay sensitive calls in CRNs are susceptible to forced termination due to the preemptive resource occupancy priority of primary users. To enable more efficient usage of the spectrum while improving the QoS experienced by secondary users (SUs), dynamic spectrum leasing (and coordinated cognitive radio) of resources has been previously proposed in the literature. In this paper, the Erlang capacity in coordinated cognitive radio networks with real-time hard delay constraint traffic as function of the rented resources is analytically calculated. For the adequate and fair performance comparison, call admission with fractional channel reservation to prioritize ongoing secondary calls over new ones is considered. From numerical results, it is observed that in CRNs exists a critical utilization factor of the primary resources from which it is not longer possible to guarantee the required QoS of SUs and, therefore, delay sensitive services cannot be even supported in cognitive radio networks. Thus, spectrum leasing can be essential for CRN operators to provide the QoS demanded by delay sensitive services. Then, the cost per capacity Erlang as function of both the utilization factor of the primary resources and the maximum allowed number of simultaneously rented channels is evaluated.Keywords-Coordinated cognitive radio networks; spectrum leasing; stringent delay sensitive traffic; QoS; Erlang capacity; call admission control; new call blocking and call forced termination.

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Delay Sensitive Communications over Cognitive Radio Networks

Cited by 31 publications

References 24 publications

Modeling and performance analysis for mobile cognitive radio cellular networks

Modeling and performance analysis for mobile cognitive radio cellular networks

Admission Control and Profitability Analysis in Dynamic Spectrum Access Data Networks

Erlang capacity in coordinated cognitive radio networks with stringent-delay applications

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