A Frequency Assignment Technique for Effective SINR and Throughput Management in a Battlefield

Abstract

Spectrum is a scarce and precious resource in a battlefield. Multiple frequencies spread over different bands are available for usage in a battlefield. The frequencies need to be assigned to the nodes/Base Stations(BSs) in a battlefield in such a way as to meet the Signal-to-Interference-Noise Ratio(SINR) and throughput requirements of all the users. Previous attempts for frequency assignment abstract away the notion of SINR and throughput and usually constrain the distance between the frequencies required between pairs of interfering BSs. In this work, the frequency assignment that optimizes the SINR and throughput of all the users in a system while ensuring fairness among the users is found. A genetic algorithm is used to perform the unconstrained optimization and this method is termed as the efficient rate and SINR matcher with hyperbolic cost (ERSMHC). A high SINR initialization algorithm (HSIA) and a high throughput greedy rate matching algorithm (HTGRM) that can be used for quickly initializing the system are also presented. The ERSMHC algorithm is shown to aid in meeting the stipulated rate and throughput requirements of more number of users as compared to HSIA and HTGRM.