Sensing-Throughput Tradeoff for Cognitive Radio Networks

By Ying-Chang Liang, Yonghong Zeng, Edward Chu Yeow Peh, Anh Tuan Hoang. IEEE Transactions on Wireless Communications, 2008

2,991 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/1bf949c1f2baef561c8503ac755e1318c829d18c

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In Computer Networks and Communications

Citations in the corpus

Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, background): “Another example for sensing-assisted communication is spectrum sensing in the context of cognitive radio, where the secondary user detects the precense of the primary user over a frequency band of interest, and then utilizes the spectrum to transmit information if the band is not occupied [159]– [16”
Dynamic Resource Allocation in Cognitive Radio Networks (2010, background): “sults indicate that all the PU transmitters are inactive at this band with a high probability. Spectrum sensing is now a very active area for research; the interested readers may refer to, e.g., [4], [5], [6], [7] for an overview of the state-of-art results in this area. As a counterpart, the SS mod”
Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks (2009, background): “In other recent works [10], [11], optimal sensingthroughput tradeoff was studied.”
Multi-antenna based spectrum sensing for cognitive radios: A GLRT approach (2010, methodology): “All of these techniques may be applied at an individual CR sensor or multiple CR sensors in a collaborative manner such as those discussed in [8]–[ 12 ].”
Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity (2008, background): “However, to precisely detect a vacant spectrum is not an easy task [4].”
Advances in cognitive radio networks: A survey (2011, background): “The sensing throughput tradeoff of energy detection is studied in [24], where the sensing period duration in a time slot is optimized to maximize the achievable throughput for the secondary users under the constraint that the primary users are sufficiently protected.”
What is a Spectrum Hole and What Does it Take to Recognize One? (2009, background): “Thus, the design problem can be stated as a cross-layer optimization problem of maximizing the data rate while ensuring that the weighted probability of missed detection (the proxy for primary user safety) is bounded [32], [33].”
Ten years of research in spectrum sensing and sharing in cognitive radio (2012, methodology): “Under the constraint of PU system protection, the optimal sensing time to maximize the throughput [36] and to minimize outage probability [37] of the SU system have been studied, respectively.”
Spectrum-Sensing Algorithms for Cognitive Radio Based on Statistical Covariances (2008, background): “Cognitive radio, which was first proposed in [1], is a promising technology for exploiting the underutilized spectrum in an opportunistic manner [2]–[5].”
Cooperative Communications for Cognitive Radio Networks (2009, methodology): “Assuming that the protection of the primary user is of the first priority in CR networks, the optimal sensing duration was determined in [ 57 ] by maximizing the throughput of the cognitive users.”
Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications (2017, background): “This assumption certainly holds only when primary radios deploy uniform power transmission strategies given no channel knowledge at the transmitter side which is justified in [197][94].”
Modulation in the Air: Backscatter Communication Over Ambient OFDM Carrier (2017, methodology): “ich follows the CSCG distribution with zero mean and 3The receiver can estimate σ2 v ofﬂine, since 2 v depends on only the noise variance. April 11, 2017 DRAFT 14 variance p PL h−1 l=0 |h[l]| 2 [26], [30]. Hence, the signal u[n]=2αgc[n]is a sequence of independent random variables each of which is i”
Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View (2009, methodology): “The proof is similar to that in [3] without cooperative sensing, except that, in here, with the k-out-of-N fusion rule as the cooperative sensing scheme, we need to make use of the fact that Pd(τ, k, ε)/Pf (τ, k, ε) is monotonically increasing in Pd(τ, ε)/Pf (τ, ε) for a fixed k.”