Probabilistic Resource Allocation and Scheduling in Multiuser Communication
IEEE Globecom 2001
San Antonio, USA, November 25-29, 2001. © 2001 IEEE
- This paper describes how resource allocation and scheduling of users
in a multiuser communication system, such as UMTS, can be used to enhance
system throughput. More specifically, it suggests a framework based
on probability theory for allocating base stations and time slots in
the downlink, in order to maximize the average throughput.
The decisions are based on knowledge of future channel capacities
and the average amount of incoming data. It is demonstrated in simulations
that the proposed scheduler achieves significant performance improvements
over simple versions of traditional scheduling algorithms.
Personal use of this material is permitted.
However, permission to reprint/republish this material for
advertising or promotional purposes or for creating new
collective works for resale or redistribution to servers or lists,
or to reuse any copyrighted component of this work in other works
must be obtained from the IEEE.