Cooperative spectrum sensing in cognitive radio networks

By Ghurumuruhan Ganesan, Y. Li. First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005., 2005

520 citations recorded by the source corpus.

In cognitive networks, cognitive (unlicensed) users need to continuously monitor spectrum to detect the presence of primary (licensed) users. In this paper, we illustrate the benefits of cooperation in cognitive radio. We show that by allowing the cognitive radios operating in the same band to cooperate we can reduce the detection time and thus increasing their agility. We first consider the case of two cognitive users and show how the inherent asymmetry in the network can be exploited to increase the probability of detection. We then extend our work to multiple cognitive user networks. We also propose a practical algorithm which allows cooperation in random networks

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/363326ecbb0ca0ff80a4bf5e076a0084a98650d5

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Sensing-Throughput Tradeoff for Cognitive Radio Networks (2008, background): “While spectrum sensing is a conventional signal detection problem [16], [9], it has received growing attention recently in the area of wireless sensor networks [17], [18] and cognitive radio networks [12], [13], [14].”
Agility improvement through cooperative diversity in cognitive radio (2005, methodology): “In [7], we incorporate power constraint for the relay user and study cooperative detection schemes for multi-user singlecarrier networks.”
Optimization for Cooperative Sensing in Cognitive Radio Networks (2007, background): “Cooperative sensing can improve the probabilities of detection and false alarm [6],[7].”
Stable Throughput of Cognitive Radios With and Without Relaying Capability (2007, background): “Possible solutions to achieve this goal can build on collaboration with the secondary receiver in idle slots (see [12] and [13] for further information on cooperative detection in cognitive networks).”
Defense against Primary User Emulation Attacks in Cognitive Radio Networks (2008, methodology): “To address this problem, cooperative spectrum sensing techniques were investigated in [11], [16], [24], [27].”
Robust Distributed Spectrum Sensing in Cognitive Radio Networks (2008, methodology): “Other works [ 3 , 6, 11, 14] investigate techniques for cooperative spectrum sensing to overcome the problems caused by multipath fading and shadow loss.”
Ensuring Trustworthy Spectrum Sensing in Cognitive Radio Networks (2006, methodology): “To address this problem, cooperative spectrum sensing techniques were investigated in [6, 19, 21].”
Spectrum Sharing for Multi-Hop Networking with Cognitive Radios (2008, background): “A frequency-agile radio module is capable of sensing the available bands [3], [9], [10], [20], [26], [30], reconfiguring RF, and switching to newlyselected frequency bands.”
Survey of Inter-Satellite Communication for Small Satellite Systems: Physical Layer to Network Layer View (2016, background): “The authors also discussed current research challenges in terms of spectrum management functionalities such as cooperative spectrum sensing, cooperative spectrum leasing as well as spectrum mobility in [98, 99, 100, 101, 102].”
Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks (2008, background): “On the other hand, the MAC-layer sensing determines when SUs have to sense which channels.”
On Capacity Under Receive and Spatial Spectrum-Sharing Constraints (2007, background): “This includes the problem of detecting currently empty spectrum (see, e.g., [6]–[8]) and game-theoretic approaches to the mechanisms and rules according to which multiple systems can dynamically arrange spectrum usage (see, e.g., [9]–[11]).”