Abstract

This paper investigates the effects of time-scheduling for real time services with respect to power efficiency and data throughput of coexisting best effort services. In contrast to the best effort services, backlog delay due to buffering is a critical factor for real time services. Considering the randomness of user locations and maximum transmit power limit, we evaluate the performance gains of time scheduling obtained at the cost of linearly increasing backlog delay. Numerical examples show that the gain of time scheduling is small for low bit rate real time services requiring low latency (i.e. voice). Otherwise in a highly loaded cell, time scheduling of real time services can reduce intracell interference. This leads to significant improvements in power efficiency and throughput performance for both real time users and co-existing best effort users.

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