An Evolutionary Approach to Allocate Frequency in Cellular Telephone System

ثبت نشده
چکیده

This paper presents an evolutionary approach (genetic algorithm) to allocate frequencies in the cells of cellular network. In cellular telephone system, each cellular area is divided into small regions called cells. Each cell uses a unique set of frequencies. There is limited frequency so the frequency needs to be reuse. The Frequency allocation problem states that given any area separated into cells are allocated frequencies in such a way that no neighbor cells could have the same frequency... Since the problem looks very simple but as the number of cells is increased it becomes very complex and becomes NP-Complete problem. To find the solution of this problem, we have explored the use of genetic algorithm where possible solutions are improved generation by generation and there is more probability to find the exact solution. . Fitness function is developed which is the backbone of the concept of genetic algorithm and directly affects the performance; since this is NP problem and traditional heuristics have had only limited success in solving small to mid size problems. In this paper we have tried to show that genetic algorithm is an alternative solution for this NP problem where conventional deterministic methods are not able to provide the optimal solution. KeywordsGenetic Algorithm, Cellular Telephone, Frequency allocation

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Evolutionary Approach to Allocate Frequency in Cellular Telephone System

This paper presents an evolutionary approach (genetic algorithm) to allocate frequencies in the cells of cellular network. In cellular telephone system, each cellular area is divided into small regions called cells. Each cell uses a unique set of frequencies. There is limited frequency so the frequency needs to be reuse. The Frequency allocation problem states that given any area separated into...

متن کامل

A hybridization of evolutionary fuzzy systems and ant Colony optimization for intrusion detection

A hybrid approach for intrusion detection in computer networks is presented in this paper. The proposed approach combines an evolutionary-based fuzzy system with an Ant Colony Optimization procedure to generate high-quality fuzzy-classification rules. We applied our hybrid learning approach to network security and validated it using the DARPA KDD-Cup99 benchmark data set. The results indicate t...

متن کامل

An Efficient Algorithm to Allocate Parts to Cells Minimizing Total Tardiness and Idle Times

In the design of a cellular manufacturing system (CMS), one of the important problems is the cell formation in the form of machine grouping and parts family. This paper investigates an allocation of parts to common and specific cells; in such a way that each common cell is able to process all required parts. Further, this paper presents a mathematical programming model comprising such constrain...

متن کامل

An Approach to Reducing Overfitting in FCM with Evolutionary Optimization

Fuzzy clustering methods are conveniently employed in constructing a fuzzy model of a system, but they need to tune some parameters. In this research, FCM is chosen for fuzzy clustering. Parameters such as the number of clusters and the value of fuzzifier significantly influence the extent of generalization of the fuzzy model. These two parameters require tuning to reduce the overfitting in the...

متن کامل

An Ant-Colony Optimization Clustering Model for Cellular Automata Routing in Wireless Sensor Networks

High efficient routing is an important issue for the design of wireless sensor network (WSN) protocols to meet the severe hardware and resource constraints. This paper presents an inclusive evolutionary reinforcement method. The proposed approach is a combination of Cellular Automata (CA) and Ant Colony Optimization (ACO) techniques in order to create collision-free trajectories for every agent...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010