Buffered DL/UL traffic ratio sensing cell clustering for interference mitigation in LTE TDD system
Abstract: Dynamic time division duplex (TDD) downlink/uplink (DL/UL) reconfiguration has been regarded as a promising technique to enhance the radio resource utilization. However, serious co-channel co-subframe DL-UL interference caused by the opposite transmission direction may weaken the system performance. In this paper, we propose a novel cluster-based enhanced interference mitigation and traffic adaption (eIMTA) scheme, which considers the number of times that the cluster configuration does not meet the transmission demand of the cell. In order to maximize the packet throughput and resource utilization, cells with severe DL-UL interferences and similar transmission demands will be clustered together in our proposed scheme. The balance between traffic adaption flexibility and interference mitigation is obtained. Furthermore, an optimized reconfiguration algorithm is developed to select the configuration that matches the transmission requirements of the cells in cluster best based on the buffered DL/UL traffic ratio. System level simulation results indicate that our cluster-based eIMTA scheme can achieve substantial gains in the cell average packet throughput and cell-edge UE packet throughput.
Loading