Spectrum Awareness for Cognitive Radios Supported by Radio Environment Maps: Zonal Approach [PDF]
Applied Sciences, 2021 In 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
Paweł Kaniewski +3 more
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Cooperative Multiband Spectrum Sensing Using Radio Environment Maps and Neural Networks [PDF]
Sensors, 2023 Cogitive radio networks (CRNs) require high capacity and accuracy to detect the presence of licensed or primary users (PUs) in the sensed spectrum. In addition, they must correctly locate the spectral opportunities (holes) in order to be available to ...
Yanqueleth Molina-Tenorio +3 more
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A Radio Environment Maps Estimation Algorithm based on the Pixel Regression Framework for Underlay Cognitive Radio Networks Using Incomplete Training Data [PDF]
Sensors, 2020 In the underlay cognitive radio networks, the radio environment maps (REMs) estimation is the main challenge in sensing the idle wireless spectrum resources.
Xu Han, Lei Xue, Ying Xu, Zunyang Liu
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Radio environment maps for military cognitive networks: density of small-scale sensor network vs. map quality [PDF]
EURASIP Journal on Wireless Communications and Networking, 2020 In this paper, we present the dependency between density of a sensor network and map quality in the radio environment map (REM) concept. The architecture of REM supporting military communications systems is described.
Marek Suchański +4 more
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Automatic Clustering for Improved Radio Environment Maps in Distributed Applications [PDF]
Applied Sciences, 2023 Wireless communication greatly contributes to the evolution of new technologies, such as the Internet of Things (IoT) and edge computing. The new generation networks, including 5G and 6G, provide several connectivity advantages for multiple applications,
Haithem Ben Chikha, Alaa Alaerjan
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UAV-Based Volumetric Measurements toward Radio Environment Map Construction and Analysis [PDF]
Sensors, 2022 Unmanned aerial vehicle (UAV)-empowered communications have gained significant attention in recent years due to the promise of agile coverage provision for a large number of various mobile nodes on the ground and in three-dimensional (3D) space ...
Antoni Ivanov +4 more
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International Journal of Distributed Sensor Networks, 2020 In the era of 5G mobile communication, radio environment maps are increasingly viewed as a powerful weapon for the optimization of spectrum resources, especially in the field of autonomous vehicles.
Haiyang Xia +3 more
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UAV-Aided Radio Map Construction Exploiting Environment Semantics
IEEE Transactions on Wireless Communications, 2023 This paper constructs a full dimensional (6D) radio map to predict the channel gain between any transmitter location and any receiver location based on received signal strength (RSS) measurements between low-altitude aerial nodes and ground nodes.
Wenjie Liu, Junting Chen
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On the construction of Radio Environment Maps for Cognitive Radio Networks [PDF]
2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013 The Radio Environment Map (REM) provides an effective approach to Dynamic Spectrum Access (DSA) in Cognitive Radio Networks (CRNs). Previous results on REM construction show that there exists a tradeoff between the number of measurements (sensors) and REM accuracy. In this paper, we analyze this tradeoff and determine that the REM error is a decreasing
Zhiqing Wei +4 more
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System architecture in cognitive radio networks using a radio environment map [PDF]
Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management, 2011 Cognitive Radio (CR) is considered as a promising solution to improve wireless spectrum utilization. Moreover, through optimization frameworks, Radio Resource Management (RRM) procedures are designed to enhance the efficient utilization of resources in CR networks. To face this issue in a holistic perspective, the RRM solutions should take into account
Anna Vizziello, J. Pérez-Romero
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