Performance analysis of the minimum call blocking probability for dynamic channel allocation in mobile cellular networks

2002 ◽  
Author(s):  
Shao Yubin ◽  
Huang Huan ◽  
Long Hua ◽  
Yao SHaowen
Keyword(s):  
Performance Analysis ◽  
Cellular Networks ◽  
Channel Allocation ◽  
Blocking Probability ◽  
Call Blocking ◽  
Dynamic Channel Allocation ◽  
Call Blocking Probability ◽  
Mobile Cellular ◽  
Mobile Cellular Networks ◽  
Dynamic Channel

scholarly journals Analysis of channel allocation and management using tlbo, ga & de algorithms in cellular networks

2018 ◽  
Vol 7 (2.17) ◽  
pp. 40
Author(s):  
M Mounika ◽  
Md Sharmila ◽  
M Prasanna Gowri ◽  
K Tejasvi ◽  
M Siva Ganga Prasad
Keyword(s):  
Cellular Networks ◽  
Mobile Networks ◽  
Error Probability ◽  
Channel Allocation ◽  
Blocking Probability ◽  
Network Throughput ◽  
Project Work ◽  
Call Blocking ◽  
Call Blocking Probability ◽  
Teaching Learning

Accuracy of spectrum sensing in cellular mobile networks can be increased by reducing the sensing error probability, call blocking probability & by increasing network throughput. In our Project work, an advanced algorithms like Teaching Learning Based Optimization (TLBO), Genetic (GA) and Differential Evaluation (DE) Algorithms are used to analyze the sensing error probability, call blocking probability and network throughput. We will propose a channel allocation and management scheme with the above mentioned algorithms for supporting mobile users. With the help of these algorithms, sensing error and call blocking probabilities are analyzed to find out an optimal value for reducing the errors to some extent and improving network throughput. Channel Allocation in cellular networks is a key aspect with channel impairments and non-ideal antenna patterns. Finally, performance analysis is done through comparison of simulation results. 

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