Jeyakanth et al., 2023 - Google Patents
Optimized channel prediction and auction‐based channel allocation for personal cognitive networksJeyakanth et al., 2023
- Document ID
- 15415181357193343006
- Author
- Jeyakanth K
- Venkatakrishnan P
- Chitra C
- Publication year
- Publication venue
- International Journal of Communication Systems
External Links
Snippet
Cognitive networks are stands out as intelligent technology which evolved to enhance spectrum utilization. Secondary users are allowed to utilize the primary user's frequency bands on idling times. Identifying the idle licensed spectrum is achieved through spectrum …
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W72/00—Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
- H04W72/04—Wireless resource allocation
- H04W72/08—Wireless resource allocation where an allocation plan is defined based on quality criteria
- H04W72/082—Wireless resource allocation where an allocation plan is defined based on quality criteria using the level of interference
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/22—Traffic simulation tools or models
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organizing networks, e.g. ad-hoc networks or sensor networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W28/00—Network traffic or resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
-
- 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
- H04L63/10—Network architectures or network communication protocols for network security for controlling access to network resources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance or administration or management of packet switching networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/12—Computer systems based on biological models using genetic models
- G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Vimal et al. | Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks | |
Chen et al. | Stochastic power adaptation with multiagent reinforcement learning for cognitive wireless mesh networks | |
Ali et al. | Smart computational offloading for mobile edge computing in next-generation Internet of Things networks | |
Eappen et al. | A survey on soft computing techniques for spectrum sensing in a cognitive radio network | |
Chuang et al. | Dynamic multiobjective approach for power and spectrum allocation in cognitive radio networks | |
Purushothaman et al. | Multiobjective optimization based on self‐organizing Particle Swarm Optimization algorithm for massive MIMO 5G wireless network | |
Xu et al. | Distance-aware edge user allocation with QoE optimization | |
Yoo et al. | Joint spectrum sensing and resource allocation optimization using genetic algorithm for frequency hopping–based cognitive radio networks | |
Bhattacharya et al. | A deep-Q learning scheme for secure spectrum allocation and resource management in 6G environment | |
Wang et al. | LinkSlice: Fine-grained network slice enforcement based on deep reinforcement learning | |
Asuquo et al. | Optimized channel allocation in emerging mobile cellular networks | |
Rajendran et al. | Distributed coalition formation game for enhancing cooperative spectrum sensing in cognitive radio ad hoc networks | |
Ghasemi et al. | Channel assignment based on bee algorithms in multi‐hop cognitive radio networks | |
Elhachmi | Distributed reinforcement learning for dynamic spectrum allocation in cognitive radio‐based internet of things | |
Jeyakanth et al. | Optimized channel prediction and auction‐based channel allocation for personal cognitive networks | |
Alsarhan et al. | Optimal spectrum utilisation in cognitive network using combined spectrum sharing approach: overlay, underlay and trading | |
Asaduzzaman et al. | Dynamic spectrum sharing optimization and post-optimization analysis with multiple operators in cellular networks | |
Khan et al. | Artificial neural network-based joint mobile relay selection and resource allocation for cooperative communication in heterogeneous network | |
Sonti et al. | Enhanced fuzzy C‐means clustering based cooperative spectrum sensing combined with multi‐objective resource allocation approach for delay‐aware CRNs | |
Arnous et al. | ILFCS: an intelligent learning fuzzy-based channel selection framework for cognitive radio networks | |
Balieiro et al. | An evolutionary scheme for secondary virtual networks mapping onto cognitive radio substrate | |
Abdullah et al. | Hybrid optimization based on spectrum aware opportunistic routing for cognitive radio ad hoc networks | |
Karaca et al. | Auction-based throughput maximization in cognitive radio networks under interference constraint | |
Kim | Femtocell network power control scheme based on the weighted voting game | |
Yousefvand et al. | Learning end-user behavior for optimized bidding and user/network association |