Performance of cognitive radio spectrum access with intra- and inter-handoff

Yao, Yong; Ngoga, Said Rutabayiro; Erman, David; Popescu, Adrian

doi:10.1109/icc.2012.6364230

Cited by 8 publications

(14 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, neither call interruption due to the arrival of PUs, intra-cell spectrum handoff, nor the fluctuating nature of spectrum resource was considered. As stated in [7], there has been little investigation so far on the opportunistic spectrum access performance in the presence of inter-cell handoff calls. Most studies have focused considering a single CRN, and therefore, users' mobility and inter-cell handoffs have been neither modeled nor evaluated.…”

Section: Introductionmentioning

confidence: 99%

“…However, none of the previous studies that investigate the functional relationship between CHT, UST, CDT, and their impact on system performance have considered the fluctuating nature of spectrum availability in CRCNs. Moreover, the effect of mobile users across multiple cells has not received enough attention in CRCNs in part because it is a recent topic of research [7,13,14]. Thus, service interruption of ongoing secondary sessions due to the arrival of a PU, spectrum handoff, and user mobility must be jointly captured in the teletraffic model for the performance analysis of CRCNs, which represents an important but unexplored topic of research in CR networks to date.…”

Section: Introductionmentioning

confidence: 99%

“…In CRCNs, SUs are allowed to perform spectrum handoff within a given CR cell (a.k.a. intra-cell handoff ) as well as inter-cell handoff among different CR cells [7]. Developing analytical models for the performance analysis of CRCNs that effectively capture relevant aspects of these complex networks represents a very challenging and important topic of research.…”

Section: Introductionmentioning

confidence: 99%

“…Most studies have focused considering a single CRN, and therefore, users' mobility and inter-cell handoffs have been neither modeled nor evaluated. In [7], by considering a homogeneous cognitive radio multi-cellular system, both intercell handoff rate and forced termination probability of SUs are determined. Reference [20] extends the reported work in [7] by considering that instead of channel reservation, the queueing buffer is used to give both intra-handoff and inter-handoff SU calls priority over the initial SU calls.…”

Section: Introductionmentioning

confidence: 99%

“…In [7], by considering a homogeneous cognitive radio multi-cellular system, both intercell handoff rate and forced termination probability of SUs are determined. Reference [20] extends the reported work in [7] by considering that instead of channel reservation, the queueing buffer is used to give both intra-handoff and inter-handoff SU calls priority over the initial SU calls. In [21], the performance of secondary users at the packet level in a cognitive radio cellular network was analyzed, where the transmitter and receiver are not able to communicate directly.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Modeling and performance analysis for mobile cognitive radio cellular networks

Corral-Ruiz

Cruz-Perez

Castellanos-Lopez³

et al. 2017

J Wireless Com Network

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modeling and performance analysis for mobile cognitive radio cellular networks

Corral-Ruiz

Cruz-Perez

Castellanos-Lopez³

et al. 2017

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

Introduction

2021

Spectrum Sharing in Cognitive Radio Networks

View full text Add to dashboard Cite

On prioritised opportunistic spectrum access in cognitive radio cellular networks

Yao

Popescu

2014

Trans Emerging Tel Tech

Self Cite

View full text Add to dashboard Cite

Cognitive radio (CR) networks allow secondary users (SUs) to opportunistically access licensed spectrum, thus providing efficient use of radio resources. Different studies carried out on CR networks have focused on the procedure of spectrum handoff of SUs such as the data transmission in a communication that can be carried out in different channels. In this paper, we consider cellular networks enhanced with facilities for CR communication where a user with a call in progress moves across neighbouring cells, that is, the so‐called inter‐cell handoff. Our model assumes that the cell gives priority to inter‐cell handoff calls over the calls originating within it. A finite queue is used in every cell for SUs, and a fixed number of buffer slots are reserved for the inter‐handoff SU calls. With these considerations, we study the transmission performance of SUs by using Markov chains‐based modelling approach. The numerical analysis is validated by simulation experiments. We also suggest a fuzzy logic‐based hybrid decision‐making algorithm to select the best solution for inter‐handoff prioritisation. The goal is to optimise the transmission performance of SUs by leveraging their requirements on service completion throughput and waiting time in each cell. Copyright © 2014 John Wiley & Sons, Ltd.

show abstract

Performance of cognitive radio spectrum access with intra- and inter-handoff

Cited by 8 publications

References 10 publications

Modeling and performance analysis for mobile cognitive radio cellular networks

Modeling and performance analysis for mobile cognitive radio cellular networks

Introduction

On prioritised opportunistic spectrum access in cognitive radio cellular networks

Contact Info

Product

Resources

About