A QoS-aware framework for available spectrum characterization and decision in Cognitive Radio networks

Canberk, Berk; Akyildiz, Ian F.; Oktuğ, Sema

doi:10.1109/pimrc.2010.5671959

Cited by 26 publications

(12 citation statements)

References 13 publications

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“…A PU arrival rate prediction and channel holding time estimation-based medium access mechanism is presented in [18]. In [19], a QoSaware framework for characterizing spectrum availability and usage determination has been developed to enhance throughput and fairness.…”

Section: Related Workmentioning

confidence: 99%

Quality-of-service-aware weighted-fair medium access control protocol for coexisting cognitive radio networks

Anjum

Razzaque

Hassan

et al. 2016

J Wireless Com Network

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Opportunistic usage selection of a licensed channel by a secondary user (SU) and its contention for data transmission is a challenging problem in coexisting cognitive radio network (CCRN). This is caused by the presence of many SUs from different CRNs in a shared environment, and the problem is further intensified when the user applications, with heterogeneous quality-of-service (QoS) requirements, require prioritized access to the opportunistic spectrum. The state-of-the-art protocols did not address the problem of efficient coexistence following both the dynamic spectrum availability and prioritized medium access. In this paper, a weighted fair medium access control protocol, namely WF-MAC, has been developed for overlay CR network that gives users proportionate accesses to the opportunistic spectrum following their application QoS requirements. The channel availability prediction using autoregression (AR) model and channel utility perception using exponentially weighted moving average (EWMA) facilitate WF-MAC to achieve more stable and fair access to the opportunistic spectrum. Our simulation experiment results depict the efficiency of the proposed WF-MAC protocol in achieving better spectrum utilization, weighted fairness, throughput, and medium access delay compared to the state-of-the-art protocols.

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Section: Related Workmentioning

confidence: 99%

Quality-of-service-aware weighted-fair medium access control protocol for coexisting cognitive radio networks

Anjum

Razzaque

Hassan

et al. 2016

J Wireless Com Network

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“…VS users: Similarly, these users are modelled using gamma distribution with shape parameter s and a G/G/1 queuing system [19] where the average waiting time is [20]…”

Section: Average Queue Waiting Timementioning

confidence: 99%

Reduction of downlink delay time for heterogeneous users in Fi‐Wi indoor networks

Debbarma

2015

Trans. Emerging Tel. Tech.

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Ubiquitous presence of umpteen WiFi access points (AP) in indoor locations leads to massive degradation in effective data rates acquired by users. Indoor space contributes approximately 80% [1] of the data generated in today's world. Thus, radio resource management in indoor environment calls for immediate attention. Hybrid Fibre-Wireless (Fi-Wi) architecture for indoor has been proposed to combine the benefits of a huge bandwidth availability of fibre with the mobility offered by wireless access. In this paper, we propose a managed hybrid Fi-Wi indoor network. It consists of fibre infrastructure emanating from central home communication controller. Radio-over-fibre technology is used to distribute the radio signals throughout the indoor space using cell access nodes (CANs) to cover the immediate periphery inside rooms. The biggest advantage of such architecture is the ease of managing centrally the indoor radio resources for guaranteeing a better Quality of Service amongst heterogeneous user. In this paper, we model the problem of CAN to AP assignment based on downlink transmission delay experienced by users. We propose a centralised assignment method based on the reduction of overall network downlink transmission delay. Using MATLAB simulations, we show that a massive 66% reduction in the maximum downlink delay time for non-uniform distribution of heterogeneous users can be achieved. Finally, we prove the optimality of the centralised assignment algorithm using coalition game theory.

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“…The users served under SAP are grouped into three classes using three different queuing disciplines as in [1]. These classes are as follows:…”

Section: A Traffic Modelingmentioning

confidence: 99%

Traffic-aware utility based QoS provisioning in OFDMA hybrid smallcells

Balakrishnan

Canberk

Akyildiz

2013

2013 IEEE International Conference on Communications (ICC)

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Abstract-Smallcell technology is gaining significance as part of the next-generation cellular systems due to their performance benefits in terms of increased network capacity and improved indoor and local coverage. Hybrid access smallcells, which provide service to both indoor as well as neighboring users, adopt adhoc policies to guarantee performance benefits to indoor home users in the presence of external neighboring users. Such policies must be able to stabilize user queues as well as to provision performance benefits in terms of delay and throughput, especially for the indoor users. As a result, classification of user data in terms of traffic type and user type is required to effectively achieve the differentiated QoS performance.In this paper, a traffic-aware utility function is proposed, which takes into account for the user's priority index and traffic characteristics to efficiently provide differentiated QoS benefits to users served under an OFDMA hybrid smallcell. The problem of the traffic-aware utility based scheduling under power constraints is posed as an optimization objective and an optimal algorithm for the scheduling problem is presented. The results show that the proposed scheme achieves QoS performance benefits in terms of throughput and delay.

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A QoS-aware framework for available spectrum characterization and decision in Cognitive Radio networks

Cited by 26 publications

References 13 publications

Quality-of-service-aware weighted-fair medium access control protocol for coexisting cognitive radio networks

Quality-of-service-aware weighted-fair medium access control protocol for coexisting cognitive radio networks

Reduction of downlink delay time for heterogeneous users in Fi‐Wi indoor networks

Traffic-aware utility based QoS provisioning in OFDMA hybrid smallcells

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