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Distributed estimation for Radio Environment Map in cognitive radio networks
Proceedings of the 33rd Chinese Control Conference, 2014Radio Environment Map (REM) is a map that indicates the radio signal strength (RSS) over a finite geographical region. It enables cognitive radio (CR) users to opportunistically access to the spectrum unoccupied by the primary users (PUs) who are licensed to use specific spectrum.
Jianzhi Liu +4 more
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Radio Environment Map Updating Procedure Considering Change of Surrounding Environment
2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2020In this paper, we propose a method to update a radio environment map (REM) considering change of surrounding environment. The REM provides statistical radio information of primary users (PUs) to secondary users (SUs). SUs can utilize the information to design communication parameters for improving communication efficiency.
Keita Katagiri, Takeo Fujii
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TV Band Radio Environment Mapping in Beijing
2014 IEEE Military Communications Conference, 2014Radio Environment Map (REM) is very useful as it provides insight of the spatial characteristics of radio environment. To achieve higher accuracy, a novel REM methodology is proposed in this paper. Noticing the inability of systematic sampling to tackle inaccessible areas, a sampling scheme named simulated annealing assisted electrons repulsion is ...
Yajian Huang +5 more
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Sensor placement algorithm for radio environment map construction in cognitive radio networks
2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014In cognitive radio, current trend is to utilize geolocation database for TV bands. Considering more dynamic bands in terms of primary user activity, however, necessitates the use of Radio Environment Map (REM), which is an advanced knowledge base that stores live multidomain information on the entities in the network and the environment.
H Birkan Yilmaz +2 more
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Radio Environment Map Construction with Spatially Distributed Sensors
2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2021In this paper, we propose an analysis framework based on spectrum data gathered by spatially distributed sensors to construct the radio environment map (REM). To the best of our knowledge, this is the first attempt to leverage the power of Bayesian analysis and Markov chain Monte Carlo (MCMC) in REM.
Yi-Qun Xu +3 more
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Environment Mapping Technique using Millimeter-Wave Radio Systems
2020 International Symposium on Antennas and Propagation (ISAP), 2021Aiming at realizing sensing of the surrounding environment for smart homes/smart building applications, device-free localization techniques using radio propagation characteristics have gained interest. To realize such techniques it is often required that the accurate environmental information should be obtained in advance.
Yuto Miyake +4 more
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Distributed Spectrum Sensing Using Radio Environment Maps in Cognitive Radio Networks
Wireless Personal Communications, 2018Ever increasing development of wireless devices and wireless networks have increased the value of spectral space. Many efforts have been conducted to increase spectral utilization. In this paper, a novel distributed spectrum sensing method is presented. This method efficiently increases the spectral throughput of the network.
Nematollah Ezzati, Hassan Taheri
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Electromagnetic Situational Awareness of Cognitive Radios supported by Radio Environment Maps
2019 Signal Processing Symposium (SPSympo), 2019In this paper we present the concept of the Radio Environment Map (REM) designed to ensure electromagnetic situational awareness of cognitive radio networks. The map construction techniques based on spatial statistics are presented. The results of field tests done for UHF range with different number of sensors are shown.
Janusz Romanik +3 more
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Optimal threshold adaptation with radio environment map for cognitive radio networks
2009 IEEE International Symposium on Information Theory, 2009Spectrum sensing is a key enabling technology of cognitive radio. Reliable detection increases access opportunity to temporarily unused bands and prevents harmful interference to the licensed users. Due to the receiver noise, signal attenuation, and multi-path fading effect, however, it is usually not possible to determine the existence of primary ...
Dae-Young Seol +2 more
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Localization Techniques for 5G Radio Environment Maps
2019Localization techniques are going to be a significant part of 5G networks, not only for user-plane services (e.g., navigation) but they can also be used to improve network performance using Radio Environment Maps (REMs). The REM’s operation requires an accurate localization technique that can work in adequate (radio) environments with high reliability.
Marcin Hoffmann, Hanna Bogucka
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