Using Stochastic local search in designing microstrip antenna for 5G communication
Sunit Shantanu Digamber Fulari

TL;DR
This paper explores the application of stochastic local search algorithms to optimize the design and pairing of 5G microstrip antennas operating across 2.4GHz to 24GHz, aiming to enhance communication efficiency.
Contribution
It introduces a novel application of stochastic local search in designing and pairing 5G microstrip antennas, a concept with historical roots but renewed potential.
Findings
Demonstrates the feasibility of using stochastic local search for antenna design.
Proposes a method for antenna pairing in 5G communication.
Shows potential improvements in antenna performance.
Abstract
Well this paper defines methods to explore what is known as the local search problem, this local search is what we are going to use in antenna to antenna and antenna to device communication. The local search algorithm searches for best next for search this is in turn used by us in antenna pairing. This is prominently known as stochastic local search, We are going to design 5G microstrip antenna operating between 2.4GHz to 24 Ghz of operation. This speaks of a very novel idea which though was used in late sixties when microstrip was in operation but the idea is having potential.
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Taxonomy
TopicsAntenna Design and Optimization · Advanced Wireless Communication Techniques · Cooperative Communication and Network Coding
