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In this paper, the performance of heterogeneous traffic Cognitive Radio Networks (CRNs) with spectrum adaptation and spectrum leasing is mathematically analyzed and evaluated. Spectrum adaptation and spectrum leasing are used jointly with spectrum handoff, call buffering, and preemptive priority mechanisms to improve system performance. Two different spectrum leasing strategies are proposed and evaluated...
Interruption of ongoing calls of secondary users (SUs) due to the arrival of primary users (PUs) is one of the most relevant factors that degrade both quality of service and system throughput in cognitive radio networks (CRNs). In this paper, the Erlang capacity achieved by different resource management mechanisms previously proposed in the literature to mitigate the effects of call interruptions...
In this paper, dynamic spectrum leasing strategies (with and without anticipated resource leasing) for coordinated cognitive radio networks with delay-tolerant (best effort) traffic are proposed and analyzed to mitigate the effects of unpredictable resource availability. To exploit the tolerance to delay a buffer for preempted secondary calls is considered. From the mathematical point of view, our...
Peer-to-Peer (P2P) networks are distributed systems where no central authority rules the behavior of the individual peers. These systems rely on the voluntary participation of the peers to help each other and reduce congestion at the data servers. BitTorrent is a popular file-sharing P2P application originally designed for non real-time data. Given the inherent characteristics of these systems, they...
Evolution in Wireless Sensor Networks (WSNs) has allowed new applications that led to an increase in the complexity of communication protocols. This in turn has led to the study of additional Quality of Service (QoS) parameters in order to provide an acceptable system performance. As such, hybrid algorithms that allow sensor networks to perform continuous monitoring (CntM) and event driven detection...
In this paper, a novel joint connection-level and packet-level analytical model for the performance evaluation of cognitive radio networks (CRNs) under VoIP traffic is proposed and developed. The proposed teletraffic model captures the most relevant features of both CRNs (i.e., unreliable spectrum sensing, primary users' activity detection) and VoIP traffic (i.e., ON/OFF activity processes for individual...
In this paper, the performance of VoIP traffic-based cognitive radio networks (CRNs) with different primary channel holding time (CHT) distribution (specifically, negative exponential, log-normal, and Coxian) is investigated. From the mathematical point of view, a joint connection level and packet level analysis considering the primary CHT to be Coxian distributed is developed. The developed mathematical...
In the literature, Poisson or ON/OFF models have been commonly used to characterize the primary arrival process in cognitive radio networks (CRNs). In this paper, the performance analysis of CRNs with VoIP traffic considering either Poisson or ON/OFF models for the primary arrival characterization is evaluated and compared. To provide a fair basis of comparison for the ON/OFF and Poisson arrival models,...
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...
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