@inproceedings{44503aa3253247fb841ee91dd4acc616,
title = "Contention resolution without collision detection",
abstract = "This paper focuses on the contention resolution problem on a shared communication channel that does not support collision detection. A shared communication channel is a multiple access channel, which consists of a sequence of synchronized time slots. Players on the channel may attempt to broadcast a packet (message) in any time slot. A player's broadcast succeeds if no other player broadcasts during that slot. If two or more players broadcast in the same time slot, then the broadcasts collide and both broadcasts fail. The lack of collision detection means that a player monitoring the channel cannot differentiate between the case of two or more players broadcasting in the same slot (a collision) and zero players broadcasting. In the contention-resolution problem, players arrive on the channel over time, and each player has one packet to transmit. The goal is to coordinate the players so that each player is able to successfully transmit its packet within reasonable time. However, the players can only communicate via the shared channel by choosing to either broadcast or not. A contention-resolution protocol is measured in terms of its throughput (channel utilization). Previous work on contention resolution that achieved constant throughput assumed that either players could detect collisions, or the players' arrival pattern is generated by a memoryless (non-adversarial) process. The foundational question answered by this paper is whether collision detection is a luxury or necessity when the objective is to achieve constant throughput. We show that even without collision detection, one can solve contention resolution, achieving constant throughput, with high probability.",
keywords = "Backoff, Networks, Parallelism, Throughput",
author = "Bender, \{Michael A.\} and Tsvi Kopelowitz and William Kuszmaul and Seth Pettie",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 52nd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2020 ; Conference date: 22-06-2020 Through 26-06-2020",
year = "2020",
month = jun,
day = "8",
doi = "10.1145/3357713.3384305",
language = "الإنجليزيّة",
series = "Proceedings of the Annual ACM Symposium on Theory of Computing",
pages = "105--118",
editor = "Konstantin Makarychev and Yury Makarychev and Madhur Tulsiani and Gautam Kamath and Julia Chuzhoy",
booktitle = "STOC 2020 - Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing",
}