Channel management in IEEE 802.22 WRAN systems

Ko, Gwangzeen; Franklin, A. Antony; You, Sungjin; Pak, Jinsuk; Song, Mee; Kim, Chang-Joo

doi:10.1109/mcom.2010.5560592

Cited by 67 publications

(34 citation statements)

References 1 publication

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“…The IEEE 802.22 standard [40] defines CR techniques that are specifically targeted to enable unlicensed devices to exploit television white spaces in the VHF and UHF bands (54-862 MHz) on a non-interfering basis for the deployment of Wireless Regional Area Networks (WRAN). Its functionalities are related to both the MAC and PHY layers, and space is left for the development of new algorithms for channel sensing and classification [42]. For the protection of primary users, which is one of the main goals of channel management in CR environments, IEEE 802.22 uses both spectrum sensing and geo-location database techniques.…”

Section: Standardsmentioning

confidence: 99%

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Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions

2011

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Currently, the radio spectrum is statically allocated and divided between licensed and unlicensed frequencies. Due to this inflexible policy, some frequency bands are growing in scarcity, while large portions of the entire radio spectrum remain unused independently of time and location. Cognitive Radio is a recent network paradigm that aims a more flexible and efficient usage of the radio spectrum. Basically, it allows wireless devices to opportunistically access portions of the entire radio spectrum without causing any harmful interference to licensed users. The present document surveys the literature on Cognitive Radio. It aims to provide a comprehensive and self-contained description of this research topic area, mainly focusing on communication protocols, spectrum decision issues, and future research directions. It is a tutorial in nature and consequently does not require any previous knowledge about Cognitive Radio. Readers are only required to have some general background on wireless data networks. Emphasis is put on Cognitive Radio genesis, issues that must be addressed, related technologies, standardization efforts, the state of the art, and future research directions according to the vision of the authors.

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Section: Standardsmentioning

confidence: 99%

“…IEEE 802.22 also enables operations across three channels simultaneously (channel bonding) for high throughput. Refer to Ko et al [42] for a description of the main characteristics of channel management in the IEEE 802.22 standard.…”

Section: Standardsmentioning

confidence: 99%

Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions

2011

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“…The first type is the channel allocation for CPE to CPE communication and the other type is the channel allocation for CPE to BS (and BS to CPE) communication. Channel allocation in standard WRAN is queue based [4]. Hence, we first queue the channel requests from CPEs, then allocate channel sequentially to the request if no interference is expected to occur.…”

Section: An Example Scenariomentioning

confidence: 99%

A Fairness Model for Resource Allocation in Wireless Networks

Shi

Prasad

Rao

et al. 2012

NETWORKING 2012 Workshops

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Abstract. In wireless networks many nodes contend for available resources creating a challenge in resource allocation. With shared resources, fairness in allocation is a serious issue. Fairness metrics have been defined to measure the fairness level of resource decisions in allocations. Therefore, fairness metrics significantly influence network and node performances emphasizing the need for due diligence to fairness metrics. It can be seen that fairness metrics in many of the allocation strategies and algorithms in the literature are not analyzed in depth to show the overall fairness of allocations from different perspectives. Hence, we propose a series of fairness metrics for resource allocation in wireless networks, which evaluate individual, system, short and long term fairness. Our metrics are general enough to be adapted in either multiple or single resource sharing scenarios. Algorithms using these metrics for channel allocation problem in peer-to-peer wireless regional area network is proposed and simulated, and the results show that our metrics in conjunction with smart channel allocation strategies guarantee both the fairness and performances.

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“…Ko et al discussed the CH management in IEEE 802.22 WRAN systems [15]. Zhang et al proposed a game theoretic approach to improve spectral efficiency.…”

Section: Introductionmentioning

confidence: 99%

Intelligent dynamic spectrum allocation with bandwidth flexibility in cognitive radio network

Veeramakali¹,

Jayashri²,

Prabu

2017

Cluster Comput

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Cognitive radio (CR) is a popular wireless technology for efficient utilization of spectrum. CR network senses the unused frequency bands of the primary users (PUs) and assign them to the unlicensed secondary users (SUs). One of the major challenges in cognitive network is the allocation of available spectrum which indirectly contributes to the efficient spectrum utilization. A novel intelligent dynamic spectrum allocation with bandwidth flexibility is presented in this paper. Fuzzy inference system has been used to evaluate and rate the channel (CH) quality and the SU. The quality based spectrum allocation has been carried out. As the primary CH bandwidth differ from the SU and in the case, the SU bandwidth is lower to PU, accommodation of more than one secondary CH into primary is possible. To utilize this facility, bandwidth flexibility is incorporated in the intelligent spectrum allocation. The intelligent spectrum allocation techniques are compared with the sequence based method of spectrum allocation and priority based allocation. The quality measures utilized for comparison are service rate, average packet loss and average delay. On these measures intelligent dynamic bandwidth flexible spectrum allocation method is found to be better, compared to other three methods.

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Channel management in IEEE 802.22 WRAN systems

Cited by 67 publications

References 1 publication

Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions

Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions

A Fairness Model for Resource Allocation in Wireless Networks

Intelligent dynamic spectrum allocation with bandwidth flexibility in cognitive radio network

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