Opportunistic Spectrum Utilization in Vehicular Communication Networks

Cheng, Nan; Shen, Xuemin

doi:10.1007/978-3-319-20445-1

Cited by 2 publications

(3 citation statements)

References 139 publications

(157 reference statements)

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“…In Table III, the computational complexity of both the entropy-based weighted voting and equally-weighted voting schemes are compared with respect to the amount of mathematical operations they each perform. The operations of Equations (11) and (12) are listed in the first two lines of the table. These operations are performed M + 1 times, which is obtained from the M number of neighbors as well as the ego vehicle itself.…”

Section: Computational Complexity and Process Latencymentioning

confidence: 99%

“…As an alternative to using Digital Television (DTV) band, Ghandour et al proposed the usage of the 5.8 GHz ISM band for secondary connected vehicle users in [10]. Although this idea has the benefit of not requiring to perform primary user detection, it also has several drawbacks such as other users utilizing the ISM band and the CSMA/CA mechanism causing extra process latency [11].…”

Section: Introductionmentioning

confidence: 99%

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A Voting-Based Distributed Cooperative Spectrum Sensing Strategy for Connected Vehicles

Aygün

Wyglinski

2017

IEEE Trans. Veh. Technol.

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In this paper, we propose a novel distributed cooperative sensing algorithm for connected vehicles. The adaptive energy detection threshold, which is used to decide whether the channel is busy, is optimized in this work by using a computationally efficient numerical approach. The proposed optimization approach minimizes the probability of incorrect detection as a function of both the probability of false alarm and the probability of missed detection. By considering both probabilities when computing the probability of incorrect detection, to the best of the authors' knowledge the proposed approach is novel. During the energy detection process, large scale fading, multipath fading, Doppler effect, and transmission errors affecting the control messaging process are accounted in order to provide a practical solution for connected vehicles. Once the available channels have been detected, the vehicles share this information using broadcast control messages. Each vehicle evaluates the available channels by voting on the information received from one-hop neighbors, where the credibility of each neighbor is weighted during the voting process. An interdisciplinary approach referred to as entropy-based weighting is used for defining the neighbor as well as the vehicle's own credibility. The voting mechanism is switched between the proposed voting mechanism and the traditional voting approach obtained from the current-state-ofthe-art in order to maintain a balance between the computational cost/latency and robust spectrum sensing. Experimental results show that by using the proposed distributed cooperative spectrum sensing mechanism, spectrum detection error converges to zero.

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Section: Computational Complexity and Process Latencymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Voting-Based Distributed Cooperative Spectrum Sensing Strategy for Connected Vehicles

Aygün

Wyglinski

2017

IEEE Trans. Veh. Technol.

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“…Cognitive VANET in near future will take advantage of licensed spectrum utilization by allocation of unused spectrum pool to cognitive users (Secondary Users) for V2I or V2V communication. For that purpose, a vehicle in cognitive VANET system will observe first any particular spectrum which is idle for a long duration before accessing it [4]. With this intentions, that detection mechanism must be an artifact scheme, which senses the primary user (Licensed Users) signal presence with high detection possibility, while maintaining the erroneous exploration extremely small.…”

Section: Introductionmentioning

confidence: 99%

Energy Detection with Diversity Combining over KG Fading for Cognitive VANET

Rasheed

Haroon

Rajatheva

2016

2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)

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Continuous evaluation in Vehicular Ad-hoc Networks (VANET) will contribute to spectrum scarcity problem in near future. Cognitive radio (CR) system aims to provide opportunistic access and adapt the available frequency resources instead of conventional static spectrum allocation. Spectrum sensing is one of the most demanding aspects in CR design and implementation. Low signal to noise ratio (SNR) and fading effects posed limitations to deploying CR in realistic propagation scenario with fast and fine sensing features. Energy detection(ED) based spectrum sensing is a viable choice for many vehicleto-vehicle (V2V) and vehicle-to-roadside infrastructure (V2I) communications. In this paper, we consider the performance of ED over composite Generalized-K (KG) fading to deal with combined large and small scale fading in VANET. Diversity combining using Maximal ratio Combining (MRC) and Selective Combining (SC) over KG fading channel are investigated. A novel tractable expression for Energy detection based average detection probability for optimal MRC diversity combining scheme is derived and closed form possibility is analyzed for SC. Both numerical and simulation models are examined for practical low to moderate shadow fading conditions. The results highlight the notable impact of shadowing spread and fading severity on detection performance and meliorating effects of employing combining techniques.

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Opportunistic Spectrum Utilization in Vehicular Communication Networks

Cited by 2 publications

References 139 publications

A Voting-Based Distributed Cooperative Spectrum Sensing Strategy for Connected Vehicles

A Voting-Based Distributed Cooperative Spectrum Sensing Strategy for Connected Vehicles

Energy Detection with Diversity Combining over KG Fading for Cognitive VANET

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