Cluster-Head-Driven UAV Relaying with Recursive Maximum Minimum Distance using CRANs

TL;DR

This paper introduces a novel UAV relaying scheme with a cluster-head-driven model, employing a recursive relay selection strategy that improves delay and error rate performance in UAV communication networks.

Contribution

It proposes a new relay selection technique called CHD-Best-Link with recursive maximum minimum distance strategy, enhancing UAV relaying efficiency.

Findings

Superior average delay performance

Lower bit error rate

Effective use of time-correlated channels

Abstract

In this letter, a C-RAN-type cluster-head-driven uplink model for multiple-antenna Unmanned Aerial Vehicles (UAV) relaying schemes, which enables joint Maximum Likelihood (ML) symbol detection in the UAV cluster-head and the selection of UAV sources to communicate with each other aided by UAV-based relays, {is presented. In this context,} a relay selection technique, named Cluster-Head-Driven Best-Link (CHD-Best-Link), that employs cluster-head buffers and physical-layer network coding, {is devised}. Then, a recursive maximum minimum distance relay selection strategy that exploits time-correlated channels and equips the CHD-Best-Link scheme is developed. Simulations illustrate that CHD-Best-Link has superior average delay and bit error rate performances to that of previous schemes.