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[PDF] Top 20 Prediction-Based Channel Selection Prediction in Mobile Cognitive Radio Network

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Prediction-Based Channel Selection Prediction in Mobile Cognitive Radio Network

Prediction-Based Channel Selection Prediction in Mobile Cognitive Radio Network

... in mobile CR, the spectrum opportunities change due to network topology change and the existence of transmission ...the channel utilization and CR throughput ...in cognitive vehicular ... See full document

12

An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things

An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things

... mode selection based on reinforcement learning for cooperative CRNs is studied in ...relay based spectrum sensing in the CRN is studied in ...cluster based CSS schemes are studied in ... See full document

27

ILFCS: an intelligent learning fuzzy based channel selection framework for cognitive radio networks

ILFCS: an intelligent learning fuzzy based channel selection framework for cognitive radio networks

... spectrum selection frame- work for the cognitive radio wireless ad hoc network (CRAHN) called an intelligent learning fuzzy-based chan- nel selection (ILFCS) ...new ... See full document

18

Artificial Intelligence Based Model for Channel Status Prediction: A New Spectrum Sensing Technique  for Cognitive Radio

Artificial Intelligence Based Model for Channel Status Prediction: A New Spectrum Sensing Technique for Cognitive Radio

... the network is ...neural network to learn like back propa- gation algorithm, resilent back propagation, Levenberg algorithm, conjugate gradient, Quasi Newton algorithm ... See full document

10

ENERGY EFFICIENCY BASED ON ROUTING PROTOCOL IN WIRELESS SENSOR NETWORKS USING COGNITIVE RADIO NETWORK

ENERGY EFFICIENCY BASED ON ROUTING PROTOCOL IN WIRELESS SENSOR NETWORKS USING COGNITIVE RADIO NETWORK

... the mobile agents called as Ant ...importance. Cognitive radio can reduce the spectrum shortage problem by enabling unlicensed users equipment with cognitive radio to reuse and share ... See full document

8

Channel selection for Selective Sensing using Cognitive Radio Nodes

Channel selection for Selective Sensing using Cognitive Radio Nodes

... a Cognitive radio network while jointly optimizing power and channel allocation among ...route selection and spectrum ...a cognitive wireless network is quite different ... See full document

6

Efficient Energy Based Path Selection in Sensor Ad-Hoc Cognitive Radio Network
                 

Efficient Energy Based Path Selection in Sensor Ad-Hoc Cognitive Radio Network  

... hoc cognitive radio network, secondary users access the channels temporarily bases those channel unused by primary users, and the existence of a communication link between two secondary users ... See full document

6

Spectrum Hole Prediction And White Space Ranking For Cognitive Radio Network Using An Artificial Neural Network

Spectrum Hole Prediction And White Space Ranking For Cognitive Radio Network Using An Artificial Neural Network

... was based on the fact that majority ...each channel with respect to six elements ...the channel for a given number of samples within a given period of ... See full document

7

Reinforcement learning based dynamic band and channel selection in cognitive radio ad hoc networks

Reinforcement learning based dynamic band and channel selection in cognitive radio ad hoc networks

... cellular network can allocate channels by providing ser- vices to the nodes belonging to the all ...the mobile user, QoS met- rics about the channel load, and delay as the reward for choosing a WiFi ... See full document

25

Multivariable algorithm for dynamic channel selection in cognitive radio networks

Multivariable algorithm for dynamic channel selection in cognitive radio networks

... for channel mobility in cognitive radio net- works ...The selection of the criteria is a funda- mental task for proactive evaluation of the availability and optimal conditions for selecting a ... See full document

17

Connectivity-based Performance Evaluation for Mobile Cognitive Radio Network

Connectivity-based Performance Evaluation for Mobile Cognitive Radio Network

... Cognitive radio has emerged as a promising technology to enhance spectrum utilization by sensing the spectrum and opportunistically using the spectrum of primary users ...In cognitive radio ... See full document

7

Clustering Approach in Route Selection Using Mobile Agent in Mobile Ad-Hoc Network

Clustering Approach in Route Selection Using Mobile Agent in Mobile Ad-Hoc Network

... large network appear smaller, but more ...a prediction based Clustering Approach for Route Discovery Protocol (CARDP)using Mobile Agent in Mobile ad-hoc ...adopting Mobile ... See full document

6

The Simulation of Indoor Service Range Prediction of Wireless Radio Access Point for Radio over Fiber System

The Simulation of Indoor Service Range Prediction of Wireless Radio Access Point for Radio over Fiber System

... A key enabler for supporting very high data rates in advanced networks is the reduction in cell size, which serves two main purposes which are maintained the high SNR at the receiver while limiting the transmit power to ... See full document

5

Joint Beamforming, Power and Channel Allocation in Multi-User and Multi-Channel Underlay MIMO Cognitive Radio Networks K. C. Sriharipriya, R. V. Haripriya, R. Joshnadevi

Joint Beamforming, Power and Channel Allocation in Multi-User and Multi-Channel Underlay MIMO Cognitive Radio Networks K. C. Sriharipriya, R. V. Haripriya, R. Joshnadevi

... and channel allocation in a multi-user and multi-channel underlay MIMO cognitive radio networks is ...given channel by converting the original problem into a convex form with an ... See full document

7

Online Full Text

Online Full Text

... the mobile station from different directions, and with varying time ...the radio channel is a multipath propagation channel ...the mobile receiver in a very complex manner. Therefore, ... See full document

6

Prediction Based Link Stability Analysis In Markov Decision Process

Prediction Based Link Stability Analysis In Markov Decision Process

... be computed at run-time (dynamic composition) based on the request. Dynamic composition looks for alternate sets of services in the current environment that can be composed to provide the required functionality. ... See full document

6

High Precision Spectrum Sensing for Cognitive Radio using Hidden Markov Model

High Precision Spectrum Sensing for Cognitive Radio using Hidden Markov Model

... the channel is in idle state and one assumes the channel is in busy ...CR. Based on the status, it will transmit PU signal or noise ...the channel is in busy state, otherwise it is sensed to ... See full document

5

Prediction of genetic gains by selection indices using mixed models in elephant grass for energy purposes.

Prediction of genetic gains by selection indices using mixed models in elephant grass for energy purposes.

... of selection indices using mixed models is advantageous in elephant grass since they provide high gains with the selection, which are distributed among all the assessed traits in the most appropriate ... See full document

8

Link Prediction in Mobile Ad hoc Network

Link Prediction in Mobile Ad hoc Network

... variation based on pattern matching which is affected by mobility of ...link prediction. For link prediction, a node tries to detect the pattern similar to the current situation in the history of the ... See full document

8

Link Availability Prediction for Cognitive Radio Ad Hoc Networks

Link Availability Prediction for Cognitive Radio Ad Hoc Networks

... of prediction models, such as [2]-[8], are available for link availability prediction in the clas- sical ...spectrum channel to use. Thus, the prediction models for MANETs are not suitable for ... See full document

7

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