In the thesis, our contributions are the system level platform establishment of MAC layer with MIMO technique in WiMAX standard and the performance study of MIMO transmission system.
First, the MAC layer with MIMO technique in IEEE 802.16e system is implemented in our study.
The platform is used for preliminary understanding of MIMO system. Secondly, utilization of different receivers of spatial multiplexing technique in different scheduling methods is studied.
Then, QoS of the MIMO System with different receivers in different scheduling methods is studied. Finally, the characteristic of MIMO transmission is studied and a simple fragmentation method is applied for improving the PER.
From the performance simulation, we can get the conclusion as below. For real time service, the VBLAST utilization of different scheduling methods is the same and the spatial multiplexing with the ML receiver utilization of different scheduling methods is also the same. Furthermore, MAXCINR and PF scheduling methods can improve more QoS than RR and EDF scheduling methods but it is not obvious. It means that there is not a scheduling method with MIMO technique which is more appropriate than others for real time service. For non-real time service, the MAXCINR scheduling method has the highest spatial multiplexing utilization and the PF scheduling method is better than EDF and RR scheduling methods. However, MAXCINR is not the most appropriate scheduling method for non-real time service because MAXCINR can not satisfy QoS. The PF scheduling method can improve more QoS and provide higher throughput than EDF and RR scheduling methods because it considers the transmission rate. Therefore, the PF is most appropriate scheduling method for non-real time service. When the transmission rate is higher, the influence of the padding of a burst is more serious.
The MIMO system with mixed transmit diversity and spatial multiplexing almost has the same capacity as the MIMO system only with transmit diversity for VOIP traffic service. It means that spatial multiplexing can provide high transmission rate, but is not suitable for VOIP traffic service.
In the future work, we can update to the channel model, the other simple radio resource management control algorithm in the platform, which is referred to power control, ARQ, and
handoff algorithm. With more advance radio resource management control algorithms, the performance can be upgraded more and QoS of can be guarantee further.
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