Modeling, Analysis and Optimization of Multicast Device-to-Device Transmission

TL;DR

This paper develops a tractable model for multicast D2D transmission, analyzing key metrics like coverage and throughput, and explores how mobility, network assistance, and optimization strategies impact performance.

Contribution

It introduces a simplified multicast D2D model and provides analysis on performance metrics and optimization methods considering mobility and network assistance effects.

Findings

Repetitive transmissions improve coverage but with diminishing returns.

Mobility and network assistance increase the number of covered receivers.

Optimal multicast rate and retransmission count can be identified for better performance.

Abstract

Multicast device-to-device (D2D) transmission is important for applications like local file transfer in commercial networks and is also a required feature in public safety networks. In this paper we propose a tractable baseline multicast D2D model, and use it to analyze important multicast metrics like the coverage probability, mean number of covered receivers and throughput. In addition, we examine how the multicast performance would be affected by certain factors like mobility and network assistance. Take the mean number of covered receivers as an example. We find that simple repetitive transmissions help but the gain quickly diminishes as the repetition time increases. Meanwhile, mobility and network assistance (i.e. allowing the network to relay the multicast signals) can help cover more receivers. We also explore how to optimize multicasting, e.g. by choosing the optimal multicast rate and the optimal number of retransmission times.