Title: A Best-Case Performance Comparison of Cellular Data Networks with Cooperating and Non-cooperating Base Stations
Authors: Anthony Acampora, Ron Tamari, Sumit Bhardwaj (Poster I, 1)

ABSTRACT

In this paper, we study common wireless data network QoS metrics, such as average delay, delay variance, and 99th delay percentile, when M base stations, responsible for wirelessly sending data to a N wireless terminals, are permitted to cooperate over noise-free, infinite capacity wireline links leading back to a central node. The channel is represented by an M x N transmission matrix, with the (i,j)th element corresponding to the random propagation between a base station/wireless terminal pair. For this channel model, Dirty Paper Coding can be applied to find the N-dimensional capacity region. Packets arrive at the central node, each addressed to one mobile. The control node maintains a queue for each mobile, and the N-dimensional multi-user capacity region bounds the rates at which the N packet queues may be emptied. In effect, the capacity region constraints create a dependency among the rates at which these multiple queues may be emptied. Depending on the status of each queue, the central node chooses an operating point on the N-dimensional capacity region surface. Both a fixed point approximation and simulation are used to study the behavior of these queues and to derive suitable service disciplines. Extensive results are presented.