Scheduling and resource allocation in MIMO-OFDMA systems with imperfect CSIT

Abstract

In MIMO-OFDMA systems, scheduling and resource allocation algorithms are crucial to optimize the resource utilization while providing support to applications with heterogeneous QoS requirements. To this end, the transmitter is assumed to have channel state information (CSIT) that will typically be imperfect. This paper introduces a unified analytical framework for channel- and queue-aware QoS-guaranteed cross-layer scheduling and resource allocation algorithms for MIMO-OFDMA networks with imperfect CSIT. The framework encompasses different types of traffic, uniform and continuous power allocation, discrete and continuous rate allocation, and protocols with different amounts of channel- and queue-awareness. Simulation results demonstrate the validity and merits of the proposed cross-layer unified approach.