Cognitive Radio Rides on the Cloud

Feng, Guorui; Lin, Heshan; Khajeh, Amin; Chiang, C. Jason; Eltawil, Ahmed M.; Charles, Weslin; Feng, Wu-chun; Chadha, Ritu

doi:10.1109/milcom.2010.5680151

Cited by 23 publications

(16 citation statements)

References 11 publications

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“…CloudIoT involves several heterogeneous network technologies, where many applications require continuity in the transmission of data and overall consumption of bandwidth increases dramatically. On the one hand, the efficiency of the access management for enabling continuity and for optimizing the bandwidth usage is still an open issue [50]. On the other hand, current bandwidth limitation cannot support the increasing trend [123], and additional research work is necessary to improve the allocation methods at huge scales.…”

Section: Open Issuesmentioning

confidence: 99%

Integration of Cloud computing and Internet of Things: A survey

Botta

Donato

Persico

et al. 2016

Future Generation Computer Systems

1,980

804

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Section: Open Issuesmentioning

confidence: 99%

Integration of Cloud computing and Internet of Things: A survey

Botta

Donato

Persico

et al. 2016

Future Generation Computer Systems

1,980

804

View full text Add to dashboard Cite

“…3) Cloud-based CWNs: There have been a few proposals for utilizing cloud technology to improve the performance in CWNs. In particular, cloud technology has been proposed for use with CWNs for cooperative spectrum sensing in the TV white spaces [134] and for a fast processing of vast volumes of data [157]. In the future, CWNs will perceivably leverage cloud technology increasingly to exploit its scalable computation capability along with its inherent programmability.…”

Section: ) Dynamic Spectrum Access (Dsa)-based Cwnsmentioning

confidence: 99%

“…Other VWN projects that have utilized cloud computing include the wireless network cloud (WNC) project [144]. Due to their popular usage, and associated benefits, cloud technology has also been proposed for use with SDRs [159] and in CRs [157]. A recent trend in cloud computing is mobile cloud computing in which clients use mobile wireless devices to perform computations in the cloud.…”

Section: ) Cellular Mobilementioning

confidence: 99%

Building programmable wireless networks: an architectural survey

Qadir

Ahmed

Ahad

2014

J Wireless Com Network

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In recent times, there have been a lot of efforts for improving the ossified Internet architecture in a bid to sustain unstinted growth and innovation. A major reason for the perceived architectural ossification is the lack of ability to program the network as a system. This situation has resulted partly from historical decisions in the original Internet design which emphasized decentralized network operations through co-located data and control planes on each network device. The situation for wireless networks is no different resulting in a lot of complexity and a plethora of largely incompatible wireless technologies. The emergence of "programmable wireless networks", that allow greater flexibility, ease of management and configurability, is a step in the right direction to overcome the aforementioned shortcomings of the wireless networks. In this paper, we provide a broad overview of the architectures proposed in literature for building programmable wireless networks focusing primarily on three popular techniques, i.e., software defined networks, cognitive radio networks, and virtualizable networks. In this paper, we provide a self-contained introduction on these techniques and its application and also discuss the opportunities and challenges in building next-generation programmable wireless networks.

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“…The cognitive SU nodes may have limited computing and storage capability, which may prevent them from realizing their full potential. In such a situation, shifting some of the operations to the cloud may drastically improve the performance of the system [25][26][27]. Cloud computing is a recent technology revolution that is shaping the world.…”

Section: Cloud Computing For Ss-scrmentioning

confidence: 99%

The SS-SCR Scheme for Dynamic Spectrum Access

Thumar

Nadkar²,

Desai³

et al. 2012

Journal of Computer Networks and Communications

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We integrate the two models ofCognitive Radio (CR), namely, the conventionalSense-and-Scavenge (SS) Model and Symbiotic Cooperative Relaying (SCR). The resultant scheme, calledSS-SCR, improves the efficiency of spectrum usage and reliability of the transmission links.SS-SCRis enabled by a suitable cross-layer optimization problem in a multihop multichannel CR network. Its performance is compared for different PU activity patterns with those schemes which considerSSandSCRseparately and perform disjoint resource allocation. Simulation results depict the effectiveness of the proposedSS-SCRscheme. We also indicate the usefulness of cloud computing for a practical deployment of the scheme.

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Cognitive Radio Rides on the Cloud

Cited by 23 publications

References 11 publications

Integration of Cloud computing and Internet of Things: A survey

Integration of Cloud computing and Internet of Things: A survey

Building programmable wireless networks: an architectural survey

The SS-SCR Scheme for Dynamic Spectrum Access

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