Home // UBICOMM 2025, The Nineteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies // View article


On the Pseudo-Bayesian Broadcast Control Algorithm for Slotted ALOHA in Multi Packet Reception and under Impaired Channel Conditions

Authors:
Vicente Casares Giner
Frank Li

Keywords: Pseudo-Bayesian Control, Multiple Packet Reception.

Abstract:
The basic concept of slotted ALOHA as a Random Access Protocol (RAP) is commonly implemented for ubiquitous access in many wireless networks. In this paper, we study the generalization of the network control by Bayesian broadcast to the environment of M -MRP Multiple Packet Reception (MPR) when channel impairments are considered. In our M -MPR model, up to M data packets transmitted in the same time-slot can be correctly decoded by using capture effect and some advanced signal processing techniques such as Successive Interference Cancellation (SIC) combined with Multiple-Input Multiple-Output (MIMO). We show that the broadcast or permission probability that maximizes the throughput (packets per slot successfully transmitted) is sensitive to channel characteristics. While with ideal channel conditions of maximum capacity a binary feedback – collision versus non-collision – is required, and in the more realistic channel conditions, M + 1 feedback is needed.

Pages: 28 to 35

Copyright: Copyright (c) IARIA, 2025

Publication date: September 28, 2025

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-68558-288-3

Location: Lisbon, Portugal

Dates: from September 28, 2025 to October 2, 2025