• No results found

[PDF] Top 20 Enhanced Network Performance in Cognitive Radio Networks using Reinforcement Learning

Has 10000 "Enhanced Network Performance in Cognitive Radio Networks using Reinforcement Learning" found on our website. Below are the top 20 most common "Enhanced Network Performance in Cognitive Radio Networks using Reinforcement Learning".

Enhanced Network Performance in Cognitive Radio Networks using Reinforcement Learning

Enhanced Network Performance in Cognitive Radio Networks using Reinforcement Learning

... provides network stability by reducing the effects of dynamic channel ...provides network scalability as routing control messages, such as route request (RREQ) and route reply (RREP), are only exchanged ... See full document

5

A Reinforcement Learning based Trust Model for Cluster Size Adjustment Scheme in Distributed Cognitive Radio Networks

A Reinforcement Learning based Trust Model for Cluster Size Adjustment Scheme in Distributed Cognitive Radio Networks

... Junaid Qadir Junaid Qadir is currently an Associate Professor at the Information Technology University (ITU) Punjab in Lahore, Pakistan. He completed his B.S. in Electrical Engineering from UET, Lahore, Pakistan and his ... See full document

17

An efficient transmission mode selection based on reinforcement learning for cooperative cognitive radio networks

An efficient transmission mode selection based on reinforcement learning for cooperative cognitive radio networks

... Cognitive radio is a promising wireless technology to resolve the growing scarcity of the indispensable electromagnetic spectrum ...In cognitive radio, secondary users (SUs) detect spectrum ... See full document

14

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

... In this paper, we propose a band group and channel se- lection method considering the consecutive channel op- eration time, data transmission rate, channel utilization efficiency, and cost of the band group change for a ... See full document

25

Cross Layer Routing in Cognitive Radio Network Using Deep Reinforcement Learning

Cross Layer Routing in Cognitive Radio Network Using Deep Reinforcement Learning

... of reinforcement learning algorithms combined with neural ...neural network. This agent surpasses all previous neural network algorithms for single learning agent playing Go and video ... See full document

67

Application of Reinforcement Learning on High Speed Rail Cognitive Radio

Application of Reinforcement Learning on High Speed Rail Cognitive Radio

... (Cognitive Radio for High Speed Railway through Dynamic and Opportunistic spectrum Reuse) which is the first research project devoted to CR systems for Railway in ...wireless cognitive model for ... See full document

5

Enhanced Detection Performance of Spectrum Monitoring Using Energy Ratio Algorithm for OFDM based Cognitive Radio Networks

Enhanced Detection Performance of Spectrum Monitoring Using Energy Ratio Algorithm for OFDM based Cognitive Radio Networks

... wireless networks. Cognitive radios with its inherent spectrum sensing technique maximises the spectrum ...monitoring using energy ratio algorithm for OFDM based cognitive radios can detect ... See full document

8

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

... on reinforcement learning for cooperative CRNs is studied in ...ad-hoc network and stochastic approaches for dynamic power management in wireless sensor network (WSN) are studied in [26, ... See full document

27

Learning and Reasoning in Cognitive Radio Networks

Learning and Reasoning in Cognitive Radio Networks

... machine learning, one interesting aspect that requires further investigation in a cognitive network scenario is the concept of delayed ...the cognitive radio literature focuses on the ... See full document

17

Energy efficient channel selection framework for cognitive radio 
		wireless sensor networks

Energy efficient channel selection framework for cognitive radio wireless sensor networks

... of cognitive radio technology have paved way for cognitive radio-based wireless sensor ...sensor networks. This has impacted immensely on the network lifetime and ...in ... See full document

7

SUM RATE MAXIMIZATION BY BEAMFORMING OVER COGNITIVE RADIO NETWORK

SUM RATE MAXIMIZATION BY BEAMFORMING OVER COGNITIVE RADIO NETWORK

... cellular network bands are overloaded in most parts of the world but television broadcasting, amateur radio and paging have been found to be grossly ...way. Cognitive radio provides the ... See full document

7

Analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networks

Analysis and performance evaluation of resource management mechanisms in heterogeneous traffic cognitive radio networks

... Figures 6 and 7, respectively, show the maximum Erlang capacity and the normalized mean transmission delay as function of the utilization factor of primary channels (defined as the ratio between the primary car- ried ... See full document

18

Network Scalability Using Opportunistic Routing Protocol for Cognitive Radio Sensor Networks

Network Scalability Using Opportunistic Routing Protocol for Cognitive Radio Sensor Networks

... Sensor networks extend the existing Internet deep into the physical atmosphere the ensuing innovative network is orders of enormity more expansive and dynamic than the current TCP/IP networks and is ... See full document

10

Multivariable algorithm for dynamic channel selection in cognitive radio networks

Multivariable algorithm for dynamic channel selection in cognitive radio networks

... This work presents a multivariable algorithm for dy- namic channel selection used in cognitive wireless net- works based on the fuzzy analytical hierarchical process (FAHP) method. The criteria of probability of ... See full document

17

Improving Spectrum Efficiency by Cognitive Radio Network Using Scheduling Method

Improving Spectrum Efficiency by Cognitive Radio Network Using Scheduling Method

... The optimization problem can be solved by using primal-dual subgradient algorithms such as the method of Lagrange multipliers and the Karush-Kuhn-Tucker conditions. By solving the problem, the SU knows whether ... See full document

6

A MAC protocol with an improved connectivity for cognitive radio networks

A MAC protocol with an improved connectivity for cognitive radio networks

... primary network, so CRAHN will grant its SU access depending on the status of the channel occupancy by PUs of the primary ...our cognitive radio paradigm is the interweave type, where SUs cannot ac- ... See full document

9

Performance Analysis on the Coexistence of Multiple Cognitive Radio Networks

Performance Analysis on the Coexistence of Multiple Cognitive Radio Networks

... corresponding performance bound with the interference analysis over both Gaus- sian and Nakagami-m fading channels are ...CR networks in the same region with the required quality-of-service, say, the ... See full document

13

Analysis of Medium Access Protocols with Channel Bonding for Cognitive Radio on TV Bands

Analysis of Medium Access Protocols with Channel Bonding for Cognitive Radio on TV Bands

... IEEE 802.11a is an OFDM system and is defined as a PHY layer that divides a signal across 52 different subcarriers to support transmission of data rates of 6, 9, 12, 18, 24, 36, 48 and 54 Mbps. Four of the 52 subcarriers ... See full document

5

Energy efficiency of compressed spectrum sensing in wideband cognitive radio networks

Energy efficiency of compressed spectrum sensing in wideband cognitive radio networks

... In cognitive radio networks (CRNs), the secondary users (SUs) can opportunistically access the spectrum bands unoccupied by the primary users ...for network coordination can be greatly ... See full document

11

Performance Evaluation of Spectrum Detection in Cognitive Radio Network

Performance Evaluation of Spectrum Detection in Cognitive Radio Network

... Before a data transmission starts, SUs hop through the channels following the same hopping sequence. Once a successful RTS/CTS handshake between SU transmitter and its receiver takes place. Consider the system which ... See full document

13

Show all 10000 documents...