| Summary: | 碩士 === 國立中央大學 === 通訊工程學系 === 102 === In recent years, the growth of wireless broadband network technology is quite fast. The specifications of 3GPP Long Term Evolution (LTE) and LTE-Advanced have been developed and their techniques are becoming mature to provide higher bandwidth. This progress will enhance the machine-to-machine (M2M) applications and markets a wide range of expansion. M2M communication technology in the LTE-Advanced environment has many challenges, where the Radio Resource Allocation is the critical one among them.
In this thesis we focus on the radio resource allocation for uplink in LTE networks when dealing with machine-to-machine communications.We propose a new dynamic grouping method to solve the resource allocation and signaling issues of large number of M2M devices in LTE networks. In the proposed scheme, we dynamically adjust the condition in UE to issue BSR so that the signaling overhead can be reduced. AS the devices in each group have different modulation and coding scheme situation, we propose a weight calculation method of each group to find the highest priority group has first priority be allocated the RB with best MCS level.
Finally, we validate our method through exhaustive simulations. The simulation results show that the proposed dynamic grouping method can effectively improve system throughput and reduce signaling overhead. It also illustrates that the proposed method can reduce the packet dropping probability due to the consideration of packet delay in the proposed scheme. Thus the proposed dynamic grouping scheme together with the associated resource allocation enables the base station to manage M2M communications in LTE networks.
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