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Partial-information multiple access (PIMA) is an orthogonal multiple access(OMA) uplink scheme where time is divided into frames, each composed of twoparts. The first part is used to count the number of users with packets totransmit, while the second has a variable number of allocated slots, eachassigned to multiple users to uplink data transmission. We investigate the caseof correlated user activations, wherein the correlation is due to theretransmissions of the collided packets, modeling PIMA as a partiallyobservable-Markov decision process. The assignment of users to slots isoptimized based on the knowledge of both the number of active users and pastsuccessful transmissions and collisions. The scheduling turns out to be a mixedinteger nonlinear programming problem, with a complexity exponentially growingwith the number of users. Thus, sub-optimal greedy solutions are proposed andevaluated. Our solutions show substantial performance improvements with respectto both traditional OMA schemes and conventional PIMA.

Minimum-Latency Scheduling For Partial-Information Multiple Access Schemes