RESOURCE ALLOCATION TECHNIQUE BASED CELLULAR NETWORK PREDICTIVE SYSTEM
In proposing the allocation schemes different algorithms or computational methods are used by researchers such as neural networks, genetic algorithms, an optimization such as linear programming and particle swarm, evolutionary algorithms. Other methods include heuristic methods; Wiener prediction and hidden Markov model. Sometimes a mixture of two or more algorithms could be used, for instance, a mixture of fuzzy logic and neural networks; genetic algorithm and neural network. Matlab program is developed for five Resource Allocation Techniques and Algorithms as given below,
Resource Allocation Techniques using Neural Networks
Resource Allocation Techniques using Genetic Algorithms
Resource Allocation Techniques using Optimization Methods
Resource Allocation Techniques using Evolutionary Algorithms
Resource Allocation Techniques using Fuzzy Logic
The scope of this project is limited to the application to the development of predictive and resource allocation model that predicts future mean traffic intensity in a cellular 2 network from its historical data and automatically allocate the resource appropriately. From the predictions made, channels will be allocated to cells within the network in advance to efficiently service the predicted traffic. Finally, the model will be implemented by developing application software that can be deployed in a cellular network environment to predict the future mean traffic and to allocate channels that will be required to service the predicted traffic intensity based on the inverse Erlang-B formula.
Design Key Points
Get following Parameters for Network.
Call Setup Success Rate (Cssr)
Drop Call Rate (Dcr)
Standalone Dedicated Channel (Sdcch)
Blocking Rate (Sdcchblk)
Sdcch Loss Rate (Sdcchloss)
Handover Success Rate (Hosr)
Call Setup Blocking Rate (Callsetblk)
Traffic Channel Blocking Rate (Tchblk)
Traffic Channel Mean Traffic (Tchmean)
Select any One Network Resource Allocation Model Algorithm
Neural Network
Genetic Algorithm
Optimization Methods
Evolutionary Algorithm
Fuzzy Logic
Feed all parameters to the resource allocation model
Get Resource Value
Reference Paper: Artificial Neural Network-Based Cellular Network Predictive System for Resource Allocation
Author’s Name: MOM, JOSEPH MICHAEL
Source: Ph.D. Thesis,UNIVERSITY OF NIGERIA, NSUKKA
Year: 2015
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SIMULATION VIDEO DEMO
You can DOWNLOAD Neural Network Matlab code and reference documents.