Maturino-Lozoya et al., 2000 - Google Patents
Handoff algorithms based on fuzzy classifiersMaturino-Lozoya et al., 2000
- Document ID
- 16953819331082088000
- Author
- Maturino-Lozoya H
- Muñoz-Rodríguez D
- Jaimes-Romera F
- Tawfik H
- Publication year
- Publication venue
- IEEE Transactions on Vehicular Technology
External Links
Snippet
One method to increase capacity in mobile communications systems is to decrease the cell size or service area. However, due to this area reduction, a mobile will pass through more cells during a call. To maintain the reliability of the system, the success rate of call transfers …
- 238000000034 method 0 abstract description 21
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/24—Reselection being triggered by specific parameters used to improve the performance of a single terminal
- H04W36/30—Reselection being triggered by specific parameters used to improve the performance of a single terminal by measured or perceived connection quality data
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/24—Reselection being triggered by specific parameters used to improve the performance of a single terminal
- H04W36/32—Reselection being triggered by specific parameters used to improve the performance of a single terminal by location or mobility data, e.g. speed data
-
- 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
- H04W16/24—Cell structures
- H04W16/32—Hierarchical cell structures
-
- 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
- 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
- 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
- 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
- H04W52/243—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
-
- 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
- H04W36/00—Hand-off or reselection arrangements
- H04W36/04—Reselecting a cell layer in multi-layered cells
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/02—Access restriction performed under specific conditions
- H04W48/04—Access restriction performed under specific conditions based on user or terminal location or mobility data, e.g. moving direction, speed
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/20—Selecting an access point
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Maturino-Lozoya et al. | Handoff algorithms based on fuzzy classifiers | |
| Liu et al. | Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks | |
| JP3888954B2 (en) | CDMA wireless network planning and evaluation method and system | |
| Dang et al. | Fuzzy logic based handoff in wireless networks | |
| Khan et al. | Fuzzy based multi-criteria vertical handover decision modeling in heterogeneous wireless networks | |
| CN102427595A (en) | Method and device for controlling adaptive optimization switching for heterogeneous converged wireless network | |
| CN110809893B (en) | Electronic device and method for wireless communication | |
| Alhabo et al. | GRA‐based handover for dense small cells heterogeneous networks | |
| Zhang et al. | An AI-based optimization of handover strategy in non-terrestrial networks | |
| Ramya et al. | Using learning methods for V2V path loss prediction | |
| Huang et al. | A survey on next-cell prediction in cellular networks: Schemes and applications | |
| Feltrin et al. | A machine-learning-based handover prediction for anticipatory techniques in wi-fi networks | |
| Hayashi et al. | A deep-learning method for path loss prediction using geospatial information and path profiles | |
| Kaleem et al. | A fuzzy preprocessing module for optimizing the access network selection in wireless networks | |
| Maturino-Lozoya et al. | Pattern recognition techniques in handoff and service area determination | |
| Stoyanova et al. | Algorithmic approaches for vertical handoff in heterogeneous wireless environment | |
| Xue et al. | Deep learning based channel prediction for massive MIMO systems in high-speed railway scenarios | |
| Khaki et al. | The impact of mobility model on handover rate in heterogeneous multi-tier wireless networks | |
| Lee et al. | An intelligent handoff algorithm for wireless communication systems using grey prediction and fuzzy decision system | |
| Kabiri et al. | Technique for order of preference by similarity to ideal solution based predictive handoff for heterogeneous networks | |
| EP1292162A1 (en) | Method and system for planning and evaluation of CDMA radio networks | |
| Eller et al. | Propagation-aware Gaussian process regression for signal-strength interpolation along street canyons | |
| Elkourdi et al. | Performance analysis for virtual-cell based comp 5g networks using deep recurrent neural nets | |
| Edwards et al. | Microcellular handoff using fuzzy techniques | |
| Onel et al. | A multicriteria handoff decision scheme for the next generation tactical communications systems |