Distributed Compressive Spectrum Sensing in Cooperative Multihop Cognitive Networks
By Fanzi Zeng, Zhi Tian. IEEE Journal on Selected Topics in Signal Processing, 2011
299 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/e1056ae362d12ba15a8617c22b415172c6b41a74
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Ian F. Akyildiz
- Brandon F. Lo
- Ravikumar Balakrishnan
- Geoffrey Y. Li
- Lu Lu
- Uzoma Onunkwo
- Xiangwei Zhou
- Qing Ling
In Computer Networks and Communications
- Brandon F. Lo
- Ravikumar Balakrishnan
- Ian F. Akyildiz
- Geoffrey Y. Li
- Qing Ling
- Gang Wu
- Lu Lu
- Uzoma Onunkwo
In Electrical and Electronic Engineering
- Brandon F. Lo
- Ian F. Akyildiz
- Ravikumar Balakrishnan
- Geoffrey Y. Li
- Lu Lu
- Uzoma Onunkwo
- Xiangwei Zhou
- Qing Ling
Citations in the corpus
- Wideband spectrum sensing for cognitive radio networks: a survey (2013, background): “[10] proposed a distributed compressed sensing-based wideband sensing algorithm for coop erative multi-hop cognitive radio networks.”
- Communication-Censored ADMM for Decentralized Consensus Optimization (2019, background): “The consensus optimization problem in the form of (1) appears in various applications, such as wireless sensor networks [1], [2], communication networks [4], [5], multi-robot networks [6], [7], smart grids [8], [9], machine learning systems [10], [11], to name a few.”
- Cooperative spectrum sensing in cognitive radio networks: A survey (2011, methodology): “Moreover, the assumption of the orthogonality of PU and CR user bands in [42] may not be realistic.”
- Ten years of research in spectrum sensing and sharing in cognitive radio (2012, methodology): “For the multi-hop CR networks, a scheme [68] has been proposed to compress the signal in the time domain rather than the power spectral density (PSD) domain by letting each SU estimate PU transmitter and its own signal iteratively, and exchanging information with its neighboring SUs to get the…”
- ADMM Based Privacy-Preserving Decentralized Optimization (2017, background): “In recent years, decentralized optimization has been playing key roles in applications as diverse as rendezvous in multiagent systems [1], spectrum sensing in cognitive networks [2], support vector machine in machine learning [3], online learning [4], classification [5], data regression in statistic”