Yao et al., 2016 - Google Patents
Energy-saving predictive resource planning and allocationYao et al., 2016
View PDF- Document ID
- 4708882649718182627
- Author
- Yao C
- Yang C
- Xiong Z
- Publication year
- Publication venue
- IEEE Transactions on Communications
External Links
Snippet
Predictive resource allocation is an emerging approach to improve the performance of mobile systems as human behavior is reported predictable by leveraging big data analytics. Yet what information can be predicted by big data, what information need to be predicted for …
- 238000004088 simulation 0 abstract description 14
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
- H04W72/12—Dynamic Wireless traffic scheduling; Dynamically scheduled allocation on shared channel
- H04W72/1205—Schedule definition, set-up or creation
- H04W72/1226—Schedule definition, set-up or creation based on channel quality criteria, e.g. channel state dependent scheduling
-
- 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
- H04W72/0406—Wireless resource allocation involving control information exchange between nodes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W28/00—Network traffic or resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
- H04W28/18—Negotiating wireless communication parameters
-
- 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
- H04W28/00—Network traffic or resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- 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
- H04W16/18—Network planning tools
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimizing operational condition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
- H04W4/02—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchical pre-organized networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
-
- 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]
-
- 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
- H04W48/00—Access restriction; Network selection; Access point selection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/54—Store-and-forward switching systems
- H04L12/56—Packet switching systems
-
- 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
- H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yao et al. | Energy-saving predictive resource planning and allocation | |
Mei et al. | Intelligent radio access network slicing for service provisioning in 6G: A hierarchical deep reinforcement learning approach | |
Ding et al. | Spectrum inference in cognitive radio networks: Algorithms and applications | |
Cheng et al. | Localized small cell caching: A machine learning approach based on rating data | |
Karray | Analytical evaluation of QoS in the downlink of OFDMA wireless cellular networks serving streaming and elastic traffic | |
Wang et al. | Intelligent user-centric network selection: A model-driven reinforcement learning framework | |
Atawia et al. | Joint chance-constrained predictive resource allocation for energy-efficient video streaming | |
Błaszczyszyn et al. | How user throughput depends on the traffic demand in large cellular networks | |
Nauman et al. | Reliability optimization in narrowband device-to-device communication for 5G and beyond-5G networks | |
Atawia et al. | Robust content delivery and uncertainty tracking in predictive wireless networks | |
Zarini et al. | AlexNet classifier and support vector regressor for scheduling and power control in multimedia heterogeneous networks | |
Combes et al. | Scheduling gain for frequency-selective Rayleigh-fading channels with application to self-organizing packet scheduling | |
Khoramnejad et al. | Delay-aware and energy-efficient carrier aggregation in 5G using double deep Q-networks | |
Sánchez et al. | A data-driven scheduler performance model for QoE assessment in a LTE radio network planning tool | |
Raaijmakers et al. | Reinforcement learning for admission control in 5G wireless networks | |
Atawia et al. | Chance-constrained QoS satisfaction for predictive video streaming | |
Błaszczyszyn et al. | Performance analysis of cellular networks with opportunistic scheduling using queueing theory and stochastic geometry | |
Peng et al. | Energy-aware scheduling for multi-hop cognitive radio networks | |
Atawia et al. | Fair robust predictive resource allocation for video streaming under rate uncertainties | |
Atawia et al. | Robust long-term predictive adaptive video streaming under wireless network uncertainties | |
Lei et al. | Mode selection and resource allocation in device-to-device communications with user arrivals and departures | |
CN109548048B (en) | Interference modeling method in communication network | |
Wang et al. | Novel user-placement ushering mechanism to improve quality-of-service for femtocell networks | |
Lotfi et al. | Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning | |
Hammad et al. | QoS-aware energy-efficient downlink predictive scheduler for OFDMA-based cellular devices |