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引用次数: 15
摘要
随着LTE-Advanced (Long Term Evolution-Advanced)网络中机器类型通信(MTC)应用的日益普及,对传统的资源分配提出了新的挑战。特别是,我们关注的是智能计量流量,它对时间的敏感度较低,并且在不频繁的时间段传输小数据。在这种场景下,多台MTC设备同时向eNodeBat发送访问请求。这种情况导致了严重的访问拥塞问题。不幸的是,现有的调度算法无法有效地处理负载沉重的eNodeB上的智能计量流量。具体来说,eNodeB上可能没有足够的资源块(RBs)用于智能计量流量。在本文中,我们利用机器类型通信和设备到设备(D2D)通信的组合来设计基于组的上行调度算法。此外,我们还考虑了组间和组内的公平性。仿真结果表明,与传统的资源分配方法相比,本文提出的方案具有优势。
Group-Based Uplink Scheduling for Machine-Type Communications in LTE-Advanced Networks
The increasing adoption of Machine-Type Communication (MTC) applications over the Long Term Evolution-Advanced (LTE-Advanced) network brings new challenges for the traditional resources allocation. Particularly, we focus on the smart metering traffic, which is less time-sensitive and transmitting small data at infrequent periods. In this scenario, many MTC devices transmit access requests to the eNodeBat the same time. This situation causes a serious problem of access congestion. Unfortunately, existing scheduling algorithms are not be able to efficiently handle smart metering traffic at a heavily loaded eNodeB. Specifically, there may not be sufficient resource blocks (RBs) available at an eNodeB for smart metering traffic. In this paper, we utilize a combination of Machine-Type Communications and Device-to-Device (D2D)communications to design our group-based uplink scheduling algorithm. In addition, we also take into account the fairness of inter-group and intra-group. Our simulation results demonstrate the benefits of our proposed scheme compared to conventional approaches on resource allocation.