Results 31 to 40 of about 391,221 (333)

A KNN Learning Algorithm for Collusion-Resistant Spectrum Auction in Small Cell Networks

IEEE Access, 2018
Existing spectrum auction algorithms rarely consider the collusion-resistant, which decreases the spectrum allocation efficiency. In this paper, we propose a collusion-resistant spectrum auction algorithm based on K-Nearest Neighbor (KNN) learning in ...
Feng Zhao, Qingqing Tang
doaj   +1 more source

Repairing Confident Information Coverage Holes for Big Data Collection in Large-Scale Heterogeneous Wireless Sensor Networks

IEEE Access, 2019
The quality of service (QoS) and lifetime of wireless sensor networks (WSNs) are severely degraded by coverage holes generated by random deployment or battery exhaustion of sensors. This work firstly introduces a novel confident information coverage CIC)
Jie Feng, Hongbin Chen
doaj   +1 more source

Cognitive radio networks

2012 9th International Conference on Communications (COMM), 2012
Cognitive Radio Networks (CRNs) are emerging as a solution to increase the spectrum utilization by using unused or less used spectrum in radio environments. The basic idea is to allow unlicensed users access to licensed spectrum, under the condition that the interference perceived by the licensed users is minimal.
openaire   +2 more sources

The coexistence of cognitive radio and radio astronomy [PDF]

, 2009
An increase of the efficiency of spectrum usage requires the development of new communication techniques. Cognitive radio may be one of those new technique, which uses unoccupied frequency bands for communications.
Baan, W.A., Bentum, M.J., Boonstra, A.J.
core   +1 more source

On the Statistics of Cognitive Radio Capacity in Shadowing and Fast Fading Environments (Journal Version)

, 2009
In this paper we consider the capacity of the cognitive radio channel in different fading environments under a low interference regime. First we derive the probability that the low interference regime holds under shadow fading as well as Rayleigh and ...
Hanif, Muhammad Fainan, Smith, Peter J.
core   +1 more source

Collaborative spectrum sensing optimisation algorithms for cognitive radio networks [PDF]

, 2010
The main challenge for a cognitive radio is to detect the existence of primary users reliably in order to minimise the interference to licensed communications. Hence, spectrum sensing is a most important requirement of a cognitive radio.
Arshad, Kamran, Imran, Muhammad Ali, Moessner, Klaus   +2 more
core   +4 more sources

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Eigenvalue Based Detection by Combining Eigenvector-Correlated Signal in Low SNR Environment

IET Signal Processing
Eigenvalue detection is extensively utilized in numerous applications, including spectrum sensing in cognitive radio. However, the characteristics of the Tracy–Widom (TW2) distribution and its lack of accurate close-form expression limit the detection ...
Wei Ge, Chao Yang, Yizhou Feng, Xiaofang Deng, Lin Zheng   +4 more
doaj   +1 more source

Investigation of 3 dB Optical Intensity Spot Radius of Laser Beam under Scattering Underwater Channel

Sensors, 2020
An important step in the design of receiver aperture and optimal spacing of the diversity scheme for an underwater laser communication system is to accurately characterize the two-dimensional (2D) spatial distribution of laser beam intensity.
Wei Wang, Xiaoji Li, Sujan Rajbhandari, Yanlong Li   +3 more
doaj   +1 more source

A Bespoke Programmable Interpenetrating Elastomer Network Composite Laryngeal Stent for Expedited Paediatric Laryngotracheal Reconstruction

Advanced Functional Materials, EarlyView.
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan, Lei Wu, Dong Zhang, Linxiao Wu, Graca Ferreira Vaz Pinto Mendes, Wanqiao J. Tu, Heping Ma, Toby J. Proctor, Colin R. Butler, Thomas Kjærgaard, Mark W. Lowdell, Martin A. Birchall, Robert E. Hynds, Richard Hewitt, Wenhui Song   +14 more
wiley   +1 more source