[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Balaji et al., 2016 - Google Patents

Cooperative Spectrum sensing in cognitive radio: an archetypal clustering approach

Balaji et al., 2016

View PDF
Document ID
14857004854569869855
Author
Balaji V
Nagendra T
Hota C
Raghurama G
Publication year
Publication venue
2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)

External Links

Snippet

Cognitive Radio (CR) is an intelligent wireless communication system capable of sensing the environment and making decisions on how to use the available radio resource without creating any harmful interference to licensed users (Primary Users). The intelligent system …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W72/00Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
    • H04W72/04Wireless resource allocation
    • H04W72/08Wireless resource allocation where an allocation plan is defined based on quality criteria
    • H04W72/082Wireless resource allocation where an allocation plan is defined based on quality criteria using the level of interference
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W72/00Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
    • H04W72/04Wireless resource allocation
    • H04W72/08Wireless resource allocation where an allocation plan is defined based on quality criteria
    • H04W72/085Wireless resource allocation where an allocation plan is defined based on quality criteria using measured or perceived quality
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/02Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/10Dynamic resource partitioning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/14Spectrum sharing arrangements between different networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organizing networks, e.g. ad-hoc networks or sensor networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/69Spread spectrum techniques
    • H04B1/713Spread spectrum techniques using frequency hopping
    • H04B1/715Interference-related aspects
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W52/00Power Management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04TPC [Transmission power control]
    • H04W52/18TPC being performed according to specific parameters
    • H04W52/24TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • H04W52/243TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/003Arrangements for allocating sub-channels of the transmission path
    • H04L5/0058Allocation criteria
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run

Similar Documents

Publication Publication Date Title
Anandakumar et al. An efficient optimized handover in cognitive radio networks using cooperative spectrum sensing
Paul et al. Machine learning for spectrum information and routing in multihop green cognitive radio networks
Soltanmohammadi et al. Fast detection of malicious behavior in cooperative spectrum sensing
Zaeemzadeh et al. Co-SpOT: Cooperative spectrum opportunity detection using Bayesian clustering in spectrum-heterogeneous cognitive radio networks
Upadhye et al. A survey on machine learning algorithms for applications in cognitive radio networks
Chakraborty et al. Malicious node restricted quantized data fusion scheme for trustworthy spectrum sensing in cognitive radio networks
Syed et al. Deep learning approaches for spectrum sensing in cognitive radio networks
Benedetto et al. Performance improvements of reputation-based cooperative spectrum sensing
Balaji et al. Cooperative Spectrum sensing in cognitive radio: an archetypal clustering approach
Arienzo et al. Stochastic optimization of cognitive networks
Hassan et al. Comparison of linear and polynomial classifiers for co-operative cognitive radio networks
Omotere et al. Big RF data assisted cognitive radio network coexistence in 3.5 GHz band
Viswanathan Cooperative spectrum sensing for primary user detection in cognitive radio
Khan et al. Comparative analysis of ANN techniques for predicting channel frequencies in cognitive radio
Reisi et al. Cluster-based cooperative spectrum sensing in cognitive radio networks under log-normal shadow-fading
Balaji Reinforcement learning based decision fusion scheme for cooperative spectrum sensing in cognitive radios
Waqar et al. A survey on cognitive radio network using artificial neural network
Lopez-Ramos et al. Jointly optimal sensing and resource allocation for multiuser overlay cognitive radios
Vishwakarma et al. Cooperative Spectrum Sensing using Rule based Hard Decision and Soft Decision with Bayesian Optimized Support Vector Machine.
Mohamad et al. Cognitive radio sensing based on joint distribution of pseudo wishart matrix eigenvalues
Alirezaei et al. Channel capacity related power allocation for distributed sensor networks with application in object classification
LR et al. Optimizing Spectrum Sensing in Cognitive Radio Networks Using Bayesian-Optimized Random Forest Classifier.
Khadim et al. Smart Cognitive Cellular Network
Kulkarni et al. Adaptive Approach for Dynamic Spectrum Utilization in Wireless Communication System
Arshad et al. Optimisation of collaborative spectrum sensing with SIMO cognitive terminals using genetic algorithm