Performance Enhancement of UAV-Assisted Wireless Communication Using the MVC Channel Estimation Algorithm in a Diamond-Shaped Network Topology

Abstract

Amalgamation of coding and spatial diversity have led to new aspects in the field of wireless communications, with a focus on Unmanned Aerial Vehicles (UAVs), and can provide impactful solutions for wireless communication channels. The use of Alamouti Space-Time Block Codes (STBCs) with diversity and many antennas improves performance in fading wireless channels. The demand for UAVs is rising day by day as they can easily reach at places where humans reach with utmost difficulty, and hence they are highly useful in military applications and disaster management. In this paper, we perform routing in a diamond-shaped network topology having four UAVs in a heterogeneous channel condition- we consider Rayleigh channel as ‘bad state model’ and Ricean channel as ‘good state model’. At first, routing is performed in the aforementioned scenario without using any channel estimation algorithm and next, we perform routing in the same scenario but this time using a channel estimation algorithm for BPSK using the STBC codes and multiple-antenna system. Eventually, we compare and analyze the results obtained and find that the routing performance gets enhanced when the maximum Versoria criterion (MVC) channel estimation algorithm is used.