Collaborative Communication Based Modern Cellular Planning and Optimization of the Network Performance Parameters using Ga

Abstract

Cellular planning and dimensioning plays a vital role for streamlining the wireless system design and its optimal roll-out. The state-of-art of radio network design depends on thorough initial planning, clear dimensioning and optimal deployment. Mathematical characterization of user coverage and proper modelling is the prime step to design, optimize and automate a wireless network. A novel dimensioning technique using collaborative communication, for cellular network design has been discussed in the paper and the corresponding radio network parameters like transmission power, receiver throughput and Base Station position has been optimized using modern technique of optimization. With proper cellular network planning, the base station parameters could be tuned to achieve the required QoS (Quality of Service) for meeting the requirements of NG (Next Generation) wireless mobile network. Proposed strategy has been analysed with adaptable radii cells establishing a cluster of users to be dimensioned in a given area. Based on minimum distance between the centroid of two cells in a cluster, the inner coverage for the BS deployment is obtained and outer radial coverage is taken double of the inner radius. The total transmission power requirement is calculated and minimized by adjusting the coordinates of the BS using Genetic Algorithm (GA). With the proposed method, 17.6% power saving and 65.68% improvement in throughput was found at the receiver side as compared to conventional constant radius method.