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

Tsakmalis et al., 2017 - Google Patents

Constrained Bayesian active learning of interference channels in cognitive radio networks

Tsakmalis et al., 2017

View PDF
Document ID
7564564530324541668
Author
Tsakmalis A
Chatzinotas S
Ottersten B
Publication year
Publication venue
IEEE Journal of Selected Topics in Signal Processing

External Links

Snippet

In this paper, a sequential probing method for interference constraint learning is proposed to allow a centralized cognitive radio network (CRN) accessing the frequency band of a primary user (PU) in an underlay cognitive scenario with a designed PU protection …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W52/00—Power Management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC [Transmission power control]
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; Arrangements for supplying electrical power along data transmission lines
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks ; Receiver end arrangements for processing baseband signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/001—Modulated-carrier systems using chaotic signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communication
    • H04L9/08—Key distribution or management, e.g. generation, sharing or updating, of cryptographic keys or passwords
    • H04L9/0816—Key establishment, i.e. cryptographic processes or cryptographic protocols whereby a shared secret becomes available to two or more parties, for subsequent use
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/04—Inference methods or devices
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security

Similar Documents

Publication Publication Date Title
Meng et al. Power allocation in multi-user cellular networks: Deep reinforcement learning approaches
Zhang et al. Beam alignment and tracking for millimeter wave communications via bandit learning
Liu et al. Stochastic successive convex approximation for non-convex constrained stochastic optimization
Matthiesen et al. A globally optimal energy-efficient power control framework and its efficient implementation in wireless interference networks
Lee et al. Deep learning for distributed optimization: Applications to wireless resource management
Ge et al. Deep reinforcement learning for distributed dynamic MISO downlink-beamforming coordination
Abbas et al. Recent advances on artificial intelligence and learning techniques in cognitive radio networks
Liu et al. Intelligent reflecting surface aided MISO uplink communication network: Feasibility and power minimization for perfect and imperfect CSI
Yan et al. Federated cooperation and augmentation for power allocation in decentralized wireless networks
Saxena et al. Reinforcement learning for efficient and tuning-free link adaptation
Geng et al. Hierarchical reinforcement learning for relay selection and power optimization in two-hop cooperative relay network
Nasir et al. Deep actor-critic learning for distributed power control in wireless mobile networks
Matthiesen et al. Mixed monotonic programming for fast global optimization
Liu et al. Wireless federated langevin monte carlo: Repurposing channel noise for bayesian sampling and privacy
Letizia et al. Capacity-driven autoencoders for communications
Shah-Mohammadi et al. Neural network cognitive engine for autonomous and distributed underlay dynamic spectrum access
Tsakmalis et al. Interference constraint active learning with uncertain feedback for cognitive radio networks
Kang Reinforcement learning based adaptive resource allocation for wireless powered communication systems
Hakimi et al. Optimized distributed automatic modulation classification in wireless sensor networks using information theoretic measures
Aung et al. Deep reinforcement learning based joint spectrum allocation and configuration design for STAR-RIS-assisted V2X communications
Tsakmalis et al. Constrained Bayesian active learning of interference channels in cognitive radio networks
Yan et al. Gaussian process reinforcement learning for fast opportunistic spectrum access
Paul et al. Deep reinforcement learning based reliable spectrum sensing under SSDF attacks in cognitive radio networks
Hoang et al. Physical layer authentication and security design in the machine learning era
Dong et al. Optimization-Driven DRL-Based Joint Beamformer Design for IRS-Aided ITSN Against Smart Jamming Attacks