A Risk-Informed Interference Assessment of MetSat/LTE Coexistence

Vries, Jean Pierre De; Livnat, Uri; Tonkin, Susan

doi:10.1109/access.2017.2685592

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…This is the author's version which has not been fully edited and content may change prior to final publication. proach differs from the conventional method, which assumes a random distribution of potential secondary transmitters around the incumbent receiver, either homogeneously or population-weighted [32]. In this case, using the locations of the polygons is more representative of spectrum demand from specific vertical markets.…”

Section: Simulation Methodologymentioning

confidence: 99%

Evolution Toward Data-Driven Spectrum Sharing: Opportunities and Challenges

Brown,

Ghasemi

2023

IEEE Access

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As the demand for wireless services continues to grow, the need for efficient and effective management of the radio frequency (RF) spectrum becomes increasingly important. A spectrum management approach based on data analysis and interpretation i.e. data-driven, offers a solution as it provides valuable insights into spectrum usage patterns, demand, and the potential for harmful interference in shared spectrum scenarios. This paper focuses on the opportunities and challenges of incorporating diverse data sources into the management of spectrum, with a specific emphasis on spectrum sharing, particularly within database-assisted spectrum sharing systems. The benefits of adopting a data-driven approach to these systems are demonstrated through simulation of specific case studies. These studies indicate the potential for achieving up to a 60% greater density of spectrum use compared to conventional approaches, while also effectively managing harmful interference.INDEX TERMS Data-driven spectrum management, database-assisted spectrum sharing, dynamic spectrum accessThis article has been accepted for publication in IEEE Access.

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Section: Simulation Methodologymentioning

confidence: 99%

Evolution Toward Data-Driven Spectrum Sharing: Opportunities and Challenges

Brown,

Ghasemi

2023

IEEE Access

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“…The author in [13] proposed a four-step method for performing risk-informed interference assessment: (1) make an inventory of all significant harmful interference hazard modes; (2) define a consequence metric to characterize the severity of hazards; (3) assess the likelihood and consequence of each hazard mode; and (4) aggregate them into a basis for decision making. In [13], [14] it was shown how this method could be used to analyse the risk of cellular interference to weather satellite earth stations for a hypothetical general case. By contrast, we are the first to apply risk-informed interference assessment to a real-life problem and to inter-technology coexistence in the same spectrum band.…”

Section: A Introduction To Risk Assessmentmentioning

confidence: 99%

Risk-Informed Interference Assessment for Shared Spectrum Bands: A Wi-Fi/LTE Coexistence Case Study

Voicu

Vries

Petrova

et al. 2017

IEEE Trans. Cogn. Commun. Netw.

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Abstract-Interference evaluation is crucial when deciding whether and how wireless technologies should operate. In this paper we demonstrate the benefit of risk-informed interference assessment to aid spectrum regulators in making decisions, and to readily convey engineering insight. Our contributions are: we apply, for the first time, risk assessment to a problem of inter-technology spectrum sharing, i.e. Wi-Fi/LTE in the 5 GHz unlicensed band, and we demonstrate that this method comprehensively quantifies the interference impact. We perform simulations with our newly publicly-available tool and we consider throughput degradation and fairness metrics to assess the risk for different network densities, numbers of channels, and deployment scenarios. Our results show that no regulatory intervention is needed to ensure harmonious technical Wi-Fi/LTE coexistence: for the typically large number of channels available in the 5 GHz band, the risk for Wi-Fi from LTE is negligible, rendering policy and engineering concerns largely moot. As an engineering insight, Wi-Fi coexists better with itself in dense, but better with LTE, in sparse deployments. Also, both main LTE-in-unlicensed variants coexist well with Wi-Fi in general. For LTE intra-technology inter-operator coexistence, both variants typically coexist well in the 5 GHz band, but for dense deployments, implementing listen-before-talk causes less interference.

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An Improved Information Security Risk Assessments Method for Cyber-Physical-Social Computing and Networking

Chen

et al. 2018

IEEE Access

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A Risk-Informed Interference Assessment of MetSat/LTE Coexistence

Cited by 5 publications

References 8 publications

Evolution Toward Data-Driven Spectrum Sharing: Opportunities and Challenges

Evolution Toward Data-Driven Spectrum Sharing: Opportunities and Challenges

Risk-Informed Interference Assessment for Shared Spectrum Bands: A Wi-Fi/LTE Coexistence Case Study

An Improved Information Security Risk Assessments Method for Cyber-Physical-Social Computing and Networking

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