[go: up one dir, main page]

Osahenvemwen, 2020 - Google Patents

Optimization of Signal Coverage Area in Mobile Communication Networks

Osahenvemwen, 2020

View PDF
Document ID
11984159253265457675
Author
Osahenvemwen O
Publication year
Publication venue
Current Journal of Applied Science and Technology

External Links

Snippet

This study presents the optimization of signal coverage area in third generation WCDMA technology of mobile communication networks, aim at improving signal coverage area or overcoming the presence dead zone in mobile communication network. Various parameters …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • 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
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools
    • 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
    • H04W16/22Traffic simulation tools or models
    • 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
    • H04W16/24Cell structures
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/391Modelling the propagation channel
    • 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimizing operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W28/00Network traffic or resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W84/00Network topologies
    • H04W84/02Hierarchical pre-organized networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
    • H04W84/04Large scale networks; Deep hierarchical networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W28/00Network traffic or resource management
    • H04W28/16Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
    • H04W28/18Negotiating wireless communication parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W88/00Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/08Access point devices
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W36/00Hand-off or reselection arrangements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W72/00Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources

Similar Documents

Publication Publication Date Title
US6611500B1 (en) Methods and apparatus for derivative-based optimization of wireless network performance
EP1098545B1 (en) Methods and apparatus for characterization, adjustment and optimization of wireless networks
Nadir et al. Pathloss determination using Okumura-Hata model and spline interpolation for missing data for Oman
Koutitas et al. Deployment strategies and energy efficiency of cellular networks
Nadir et al. Pathloss determination using Okumura-Hata model and cubic regression for missing data for Oman
EP1178694A1 (en) Methods and apparatus for design, adjustment or operation of wireless networks using pre-frequency-assignment optimization
Fagen et al. Automated wireless coverage optimization with controlled overlap
Akinwole et al. Comparative analysis of empirical path loss model for cellular transmission in rivers state
Nafea et al. Path loss optimization in WIMAX network using genetic algorithm
Ekah et al. Measurement and performance analysis of signal-to-interference ratio in wireless networks
US6925066B1 (en) Methods and apparatus for design, adjustment or operation of wireless networks using multi-stage optimization
Mohamed Path-loss estimation for wireless cellular networks using Okumura/Hata model
Osahenvemwen Optimization of Signal Coverage Area in Mobile Communication Networks
Akande et al. Intelligent Empirical Model for Interference Mitigation in 5G Mobile Network at Sub-6 GHz Transmission Frequency
Adeyemo et al. Optimization of Okumura-Hata model for long term evolution network deployment in Lagos, Nigeria
Joseph et al. Path loss and models: A survey and future perspective for wireless communication networks
Nadir Empirical pathloss characterization for Oman
Mardeni et al. Path loss model optimization for urban outdoor coverage using Code Division Multiple Access (CDMA) system at 822MHZ
Amine et al. Base station placement optimisation using genetic algorithms approach
Akande et al. A Modified Empirical Path Loss Model for 4G LTE Network in Lagos, Nigeria
Portela et al. Cellular coverage map as a voronoi diagram
Slamnik et al. An approach to analysis of heterogeneous networks' efficiency
Ikechi et al. A Wavelet Genetic Algorithm Based Signal Path Loss Model for Evolved Nodeb Cell Sites Planning And Effective Coverage of Wireless Communication System
Buenestado et al. Self‐planning of base station transmit power for coverage and capacity optimization in LTE
Isabona Parametric maximum likelihood Estimator combined with Bayesian and Akaike information criterion for realistic field strength attenuation estimation in open and shadow urban microcells