The Role of Boolean Function in Fractal Formation and it s Application to CDMA Wireless Communication

TL;DR

This paper introduces a novel Boolean function-based transformation that generates fractal patterns to optimize resource allocation in CDMA wireless networks, reducing costs and improving structural efficiency.

Contribution

It presents a new Boolean function-derived fractal pattern for resource reconstruction in CDMA networks, addressing resource control and cost minimization.

Findings

Fractal pattern dimension is 1.58.

Resource reconstruction reduces network costs.

Provides a complete solution for resource positioning.

Abstract

In this paper, a new transformation is generated from a three variable Boolean function 3, which is used to produce a self-similar fractal pattern of dimension 1.58. This very fractal pattern is used to reconstruct the whole structural position of resources in wireless CDMA network. This reconstruction minimizes the number of resources in the network and so naturally network consumption costs are getting reduced. Now -a -days resource controlling and cost minimization are still a severe problem in wireless CDMA network. To overcome this problem fractal pattern produced in our research provides a complete solution of structural position of resources in this Wireless CDMA Network.