scholarly journals Optimization of Signal Coverage Area in Mobile Communication Networks

2020 ◽  
pp. 35-45
Author(s):  
O. A. Osahenvemwen
Keyword(s):  
Mathematical Model ◽  
Communication Network ◽  
Communication Networks ◽  
Mobile Communication ◽  
Load Capacity ◽  
Base Station ◽  
Coverage Area ◽  
Mobile Communication Network ◽  
Signal Coverage ◽  
Mobile Communication Networks

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 that affect Signal coverage area in mobile communication network were determined. Optimization mathematical model based on Lagrange mathematical method was developed in line with the necessary parameters and characteristics. The developed mathematical model was simulated using MATLAB and Wolfram Mathematical Software using data obtain from mobile communication Network ‘A’ at Asaba, Delta State. The obtained data were number of duplex channels, frequency, load capacity of the base station, interference, distance power received, power transmitted etc. The result obtain are the critical points with fade-off of the radio signal. The coverage area indicates a non-linear function, therefore to minimize threshold parameter such as interference; pathloss and power received values will increase as the coverage area of the base station increases.

scholarly journals Research on Distributed 5G Signal Coverage Detection Algorithm Based on PSO-BP-Kriging

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4390
Author(s):  
Tingli Xiang ◽  
Hongjun Wang
Keyword(s):  
Neural Network ◽  
Communication Network ◽  
Mobile Communication ◽  
Detection Algorithm ◽  
Base Station ◽  
Distributed Sensor ◽  
Mobile Communication Network ◽  
The Neural Network ◽  
Signal Coverage ◽  
5G Mobile Communication

In order to overcome the limitations of traditional road test methods in 5G mobile communication network signal coverage detection, a signal coverage detection algorithm based on distributed sensor network for 5G mobile communication network is proposed. First, the received signal strength of the communication base station is collected and pre-processed by randomly deploying distributed sensor nodes. Then, the neural network objective function is modified by using the variogram function, and the initial weight coefficient of the neural network is optimized by using the improved particle swarm optimization algorithm. Next, the trained network model is used to interpolate the perceptual blind zone. Finally, the sensor node sampling data and the interpolation estimation result are combined to generate an effective coverage of the 5G mobile communication network signal. Simulation results indicate that the proposed algorithm can detect the real situation of 5G mobile communication network signal coverage better than other algorithms, and has certain feasibility and application prospects.

scholarly journals Modeling and Analysis of Mobility Management in Mobile Communication Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Woon Min Baek ◽  
Ji Hyun Yoon ◽  
Chesoong Kim
Keyword(s):  
Mathematical Model ◽  
Communication Networks ◽  
Mobile Communication ◽  
Mobility Management ◽  
Numerical Results ◽  
Modeling And Analysis ◽  
Mobile Communication Networks ◽  
Special Zone

Many strategies have been proposed to reduce the mobility management cost in mobile communication networks. This paper studies the zone-based registration methods that have been adopted by most mobile communication networks. We focus on two special zone-based registration methods, called two-zone registration (2Z) and two-zone registration with implicit registration by outgoing calls (2Zi). We provide a new mathematical model to analyze the exact performance of 2Zand 2Zi. We also present various numerical results, to compare the performance of 2Ziwith those of 2Zand one-zone registration (1Z), and show that 2Ziis superior to 2Zas well as 1Zin most cases.

AN ISING MODEL SIMULATION OF MOBILE COMMUNICATION NETWORKS

2006 ◽  
Vol 17 (03) ◽  
pp. 435-445 ◽  
Author(s):  
L. F. CARAM ◽  
C. F. CAIAFA ◽  
A. N. PROTO
Keyword(s):  
Communication Network ◽  
Ising Model ◽  
Communication Networks ◽  
Mobile Communication ◽  
Model Simulation ◽  
Dynamical Behavior ◽  
Critical Parameters ◽  
Mobile Communication Network ◽  
Commercial Operation ◽  
Virtual Temperature

We studied the dynamical behavior of a mobile communication network through a traditional Ising model. In the mobile communication network, each cell has N channels to process the calls, and they arrive with a given rate, having different lengths. In our Ising model we introduce cooperation among cells. This mechanism is considered in the normal commercial operation today. Through our simulation we evaluate the (virtual) temperature, magnetization, and the critical parameters of the network. The description of a mobile communication network, using a well-known theoretical model, is an important tool to improve the performance of these networks.

scholarly journals Key Technologies of Cache and Computing in 5G Mobile Communication Network

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yanfang Zha
Keyword(s):  
Communication Networks ◽  
Mobile Communication ◽  
Stackelberg Game ◽  
Base Station ◽  
Game Model ◽  
Optimization Strategy ◽  
Network Computing ◽  
Strategy Space ◽  
Mobile Communication Networks ◽  
5G Mobile Communication

The deployment of cache and computing resources in 5G mobile communication networks is considered as an important way to reduce network transmission delay and redundant content transmission and improve the efficiency of content distribution and network computing processing capacity, which has been widely concerned and recognized by academia and industry. Aiming at the development trend of cache and computing resource allocation in 5G mobile communication networks, in order to improve the efficiency of content cache and reduce network energy consumption, a 5G network cache optimization strategy based on Stackelberg game was proposed, which modeled network operators and content providers as multimaster and multislave Stackelberg game model. Providers buy base station storage space from network operators to cache popular content. In this paper, we construct the strategy space and profit function of the two sides of the game and prove the existence of Nash equilibrium solution among content providers given a set of base station rental prices of network operators. In this paper, distributed iterative algorithm is used to solve the game model, and the optimal base station pricing of network operators and the optimal base station occupancy rate of content providers are obtained.

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