System-Level Dynamics of Highly Directional Distributed Networks
Asad Ali, Olga Galinina, and Sergey Andreev

TL;DR
This paper introduces a framework to evaluate system-level capacity and throughput in dynamic distributed networks with highly directional communications, focusing on the impact of multiple access procedures and network dynamics.
Contribution
It provides a novel analytical framework and closed-form approximations for system-level throughput and session success probability in highly directional distributed networks.
Findings
Derived steady-state distribution of active communication pairs
Calculated probability of successful session initialization
Provided closed-form approximations for dense deployments
Abstract
While highly directional communications may offer considerable improvements in the link data rate and over-the-air latency of high-end wearable devices, the system-level capacity trade-offs call for separate studies with respect to the employed multiple access procedures and the network dynamics in general. This letter proposes a framework for estimating the system-level area throughput in dynamic distributed networks of highly-directional paired devices. We provide numerical expressions for the steady-state distribution of the number of actively communicating pairs and the probability of successful session initialization as well as derive the corresponding closed-form approximation for dense deployments.
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Taxonomy
TopicsAge of Information Optimization · Context-Aware Activity Recognition Systems · Wireless Networks and Protocols
