IEEE 802.22: An Introduction to the First Wireless Standard based on Cognitive Radios

Cordeiro, Carlos; Challapali, K.; Birru, D.; N, Sai Shankar

doi:10.4304/jcm.1.1.38-47

Cited by 554 publications

(348 citation statements)

References 4 publications

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“…Recently, a lot of work has been carried out for dynamic channel management in cognitive radio networks [3,4,5,15,20,25,26]. However, all these approaches focuses on single-hop cognitive radio networks and either requires the presence of any central entity or coordination with primary radio nodes in their channel selection decision.…”

Section: Related Workmentioning

confidence: 99%

Improving Data Dissemination in Multi-hop Cognitive Radio Ad-Hoc Networks

et al. 2012

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Abstract. In this paper, we present SURF, a distributed channel selection strategy for efficient data dissemination in multi-hop cognitive radio ad-hoc networks (CRNs). SURF classifies the available channels on the basis of primary radio unoccupancy and the number of cognitive radio neighbors using the channels. Through extensive NS-2 simulations, we compare the performance of SURF with three related approaches. Simulation results confirm that SURF is effective in selecting the best channels for efficient communication and for highest dissemination reachability in multi-hop CRNs.

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Section: Related Workmentioning

confidence: 99%

Improving Data Dissemination in Multi-hop Cognitive Radio Ad-Hoc Networks

et al. 2012

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“…We rely on methods such as in [5] that consider the power and location of the secondary users to ensure that the secondary users do not exceed some critical interference level to the primary users. We also assume that the spectrum opportunity map is available to the secondary users as in [6] [10]. Since the primary users will block all the neighbor links using its frequency channel, a network node n will sense the channel and obtain the Spectrum Opportunity Matrix (SOM) of the primary users: …”

Section: Interference Characterizationmentioning

confidence: 99%

“…The majority of the resource management research in cognitive radio networks has focused on a single-hop wireless infrastructure [6]- [10]. In this paper, we focus on the resource management problem in the more general setting of multi-hop cognitive radio networks.…”

mentioning

confidence: 99%

“…In this paper, we aim at learning the behaviors of interacting cognitive radio nodes that use simple interference graph (similar to the spectrum holes used in [6][8]) to sequentially adjust and optimize their transmission strategies. We apply a multi-agent learning algorithm -the fictitious play (FP) [15] to model the behavior of neighbor nodes based on the information exchange among the network nodes.…”

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confidence: 99%

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Distributed Resource Management in Multihop Cognitive Radio Networks for Delay-Sensitive Transmission

Shiang

Schaar

2009

IEEE Trans. Veh. Technol.

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In this paper, we investigate the problem of multi-user resource management in multi-hop cognitive radio networks for delay-sensitive applications. Since the tolerable delay does not allow propagating global information back and forth throughout the multi-hop network to a centralized decision maker, the source nodes and relays need to adapt their actions (transmission frequency channel and route selections) in a distributed manner, based on local network information. We propose a distributed resource management algorithm that allows network nodes to exchange information and that explicitly considers the delays and cost of exchanging the network information over the multi-hop cognitive radio networks. The term "cognitive" refers in our paper to both the capability of the network nodes to achieve large spectral efficiencies by dynamically exploiting available frequency channels as well as their ability to learn the "environment" (the actions of interfering nodes) based on the designed information exchange.Note that the node competition is due to the mutual interference of neighboring nodes using the same frequency channel. Based on this, we adopt a multi-agent learning approach, adaptive fictitious play, which uses the available interference information. We also discuss the tradeoff between the cost of the required information exchange and the learning efficiency. The results show that our distributed resource management approach improves the PSNR of multiple video streams by more than 3dB as opposed to the state-of-the-art dynamic frequency channel/route selection approaches without learning capability, when the network resources are limited.Index Terms: distributed resource management, cognitive radio networks, multi-hop wireless networks, multi-agent learning, delay sensitive applications.

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“…The network of devices allowed to use the TV band is referred as Wireless Regional Area Network or WRAN. A good overview of the standard is presented in [4]. The different aspects of the standard can be found in [2], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Modified Algorithm of Dynamic Frequency Hopping (DFH) in the IEEE 802.22 Standard

Kleyko

Lyamin

Osipov

2014

Multiple Access Communications

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Abstract. IEEE 802.22 Cognitive Wireless Regional Area Networks is a first standard of wireless terrestrial system relying on cognitive radio concept and operating as an opportunistic system in the the vacant unoccupied frequency spaces of the licensed TV-frequency band. Concept of the proposed standard assumes special functionality to protect the operation of the primary licensed subscribers. Dynamic Frequency Hopping is the mechanism for providing connectionless operation of Wireless Regional Area Networks systems while ensuring protection of transmissions from the primary users. During its operation regular time gaps appear on the involved frequency channels. This paper introduces the concept of the efficient reuse of the vacant frequency resources appearing when using the Dynamic Frequency Hopping mode. The scheme for consecutive-parallel inclusion of the new Dynamic Frequency Hopping Communities-members in the Dynamic Frequency Hopping mode is presented. The proposed approach allows significantly decrease time of inclusion the new members into a new Dynamic Frequency Hopping Communities.

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IEEE 802.22: An Introduction to the First Wireless Standard based on Cognitive Radios

Cited by 554 publications

References 4 publications

Improving Data Dissemination in Multi-hop Cognitive Radio Ad-Hoc Networks

Improving Data Dissemination in Multi-hop Cognitive Radio Ad-Hoc Networks

Distributed Resource Management in Multihop Cognitive Radio Networks for Delay-Sensitive Transmission

Modified Algorithm of Dynamic Frequency Hopping (DFH) in the IEEE 802.22 Standard

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