Repeated Games, Optimal Channel Capture, and Open Problems for Slotted Multiple Access

Abstract: This paper revisits a classical problem of slotted multiple access with success, idle, and collision events on each slot. First, results of a 2-user multiple access game are reported. The game was conducted at the University of Southern California over multiple semesters and involved competitions between student-designed algorithms. An algorithm called 4-State was a consistent winner. This algorithm is analyzed and shown to have an optimal expected score when competing against an independent version of itself. The structure of 4-State motivates exploration of the open question of how to minimize the expected time to capture the channel for a $n$-user situation. It is assumed that the system delivers perfect feedback on the number of users who transmitted at the end of each slot. An efficient algorithm is developed and conjectured to have an optimal expected capture time for all positive integers $n$. Optimality is proven in the special cases $n \in {1, 2, 3, 4, 6}$ using a novel analytical technique that introduces virtual users with enhanced capabilities.