Spectrum opportunity exploration based on joint spectrum sensing and the spectrum prediction enabled spectrum database

Zhang, Jianzhao; Liu, Yongxiang; Chen, Yong; Cao, Lingling

doi:10.1109/ieee-iws.2016.7585415

Cited by 6 publications

(7 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many proposed DSM frameworks, including SAS, LSA, and IEEE 1900.5 have taken spectrum database as the basic SOP information source [4], [16]. On the other hand, the collection and update of the SOP information in the spectrum database may be frequent to guarantee the validity of the information, cost of which is inconvenient especially in the dynamic spectrum environment [17], [18]. The third approach is the spectrum prediction, which determines the intending SOP usability through the analysis of the correlations in the spectrum occupancy statistics.…”

Section: A Sop Explorationmentioning

confidence: 99%

“…Taking the spectrum prediction model as an example of the SK, which is constructed based on the temporal relations of the usability of SOPs. The universal usability prediction (UUP) model proposed in [18], is taken as a representative instance for the estimation of the parameter ϕ. Following UUP, the usable probability of the SOP in the k th (k = 1, 23, ...) slot after the construction of the model is given by…”

Section: B Matching Ratio Of the Skmentioning

confidence: 99%

See 1 more Smart Citation

Spectrum Knowledge and Real-Time Observing Enabled Smart Spectrum Management

et al. 2020

Self Cite

View full text Add to dashboard Cite

Spectrum is the indispensable resource for 5G wireless systems and beyond. The dynamic spectrum management (DSM) framework with spectrum sharing among different kinds of users is essential to satisfy the sustainable rapid increase of the bandwidth requirement. Based on the analysis of the DSM as well as the latent applications of the machine learning and artificial intelligence (AI) in the spectrum access, this paper will address the problem of incorporating intelligence into the spectrum management. Firstly, the spectrum opportunity (SOP) related information is layered into the spectrum data, the spectrum information and the spectrum knowledge based on the processing and abstractive level. The spectrum knowledge is formally defined as the extendible and scalable information to reason and predict the SOP usability as well as the outcome of the SOP occupancy. Then the smart spectrum model (SSM) is proposed with the spectrum knowledge as the key enabler and the coupled SOP exploration and exploitation as the core feature. Under the SSM framework, the spectrum knowledge and real-time observing (SKRO) enabled SOP exploration scheme is designed, which can make use of both the historical information and the real-time sensing information for smart SOP exploration. Extensive simulations are provided which demonstrate that the SKRO enabled SSM can achieve much better SOP utilization while satisfying the required legacy assurance. Specifically, in the low signal to noise environment, at least 16.55% gains on the SOP utilization ratio can be obtained compared with the DSM.

show abstract

Section: A Sop Explorationmentioning

confidence: 99%

Section: B Matching Ratio Of the Skmentioning

confidence: 99%

Spectrum Knowledge and Real-Time Observing Enabled Smart Spectrum Management

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Existing CR‐VANETs protocols start their process by local spectrum sensing, in which, each vehicle uses its energy detector to perform local spectrum sensing for all (or a significant subset) of the available M channels [7–10]. Then, all of the vehicles use the IEEE 802.11p CSMA/CA to report all their local sensing results to the fusion node [10, 14–22].…”

Section: Preliminaries and Motivationmentioning

confidence: 99%

“…The first component of the proposed

false(SC false)^{2}

protocol is spectrum exploration to assess the presence of PN activities in their channels. Existing spectrum sensing protocols typically have each vehicle sensing all (or a subset

> 1

) of the available channels either in a sequential or a random way [7–10]. This is highly undesirable in CR‐VANETs because by the time the vehicle finishes the sensing process, it might be in another area where these sensing results are no longer valid.…”

Section: Single Channel Slotted Contention Protocolmentioning

confidence: 99%

“…Thus motivated, several spectrum exploration and exploitation techniques have been developed in the CR‐VANET literature to, respectively, enable the vehicles to sense and report their channel assessments [6–23]. Typically, such techniques are incorporated with the IEEE 802.11p standard specifically developed for VANETs to enable DSA and CR.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation