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Efficient cooperative access class barring with load balancing and traffic adaptive radio resource management for M2M communications over LTE-A

机译：LTE-A上用于M2M通信的负载均衡和流量自适应无线资源管理的高效协作访问类别限制

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摘要

We propose two efficient cooperative access class barring with load balancing (CACB-LB) and traffic adaptive radio resource management (TARRM) schemes for M2M communications over LTE-A. The proposed CACB-LB uses the percentage of the number of Machine-Type Communication (MTC) devices that can only access one eNB between two adjacent eNBs as a criterion to allocate those MTC devices that are located in the overlapped coverage area to each eNB. Note that an eNB is a base station of LTE-A. In this way, the proposed CACB-LB can achieve better load balancing among eNBs than CACB, which is the best available related work. The proposed CACB-LB also uses the ratio of the channel quality indication that an MTC device received from an eNB over the number of MTC devices that attach to the eNB as a criterion to adjust the estimated number of MTC devices that may access the eNB. As a result, the proposed CACB-LB can have a better set of barring rates of access class barring than CACB and can reduce random access delay experienced by an MTC device, which is also applicable to user equipment (UE). After an MTC device successfully accesses to an eNB, the eNB needs to allocate radio resources for the MTC device. In addition, the proposed TARRM allocates radio resources for an MTC device based on the random access rate of the MTC device and the amount of data uploaded and downloaded by the MTC device in a homogeneous MTC device network, and the priority of an MTC device in a heterogeneous MTC device network. Furthermore, we use the concept from cognitive radio networks such that if there are unused physical resource blocks (PRBs) of UEs, an eNB can schedule MTC devices to use these PRBs to enhance the throughput performance. Simulation results show that either in a homogeneous MTC device network or in a heterogeneous MTC device network, the proposed CACB-LB's average access delay of UEs/MTC devices and average throughput from UEs/MTC devices are better than CACB's. The proposed CACB-LB with TARRM's average throughput from UEs/MTC devices is also higher than CACB's. Therefore, the proposed CACB-LB with TARRM is feasible for M2M communications over LTE-A.
机译：我们针对LTE-A上的M2M通信，提出了两种有效的带负载平衡的有效协作式访问类别限制（CACB-LB）和流量自适应无线资源管理（TARRM）方案。提出的CACB-LB使用只能访问两个相邻eNB之间的一个eNB的机器类型通信（MTC）设备的数量的百分比作为标准，以将位于重叠覆盖区域中的那些MTC设备分配给每个eNB。注意，eNB是LTE-A的基站。这样，与CACB相比，提出的CACB-LB可以在eNB之间实现更好的负载平衡，这是可获得的最佳相关工作。提出的CACB-LB还使用从eNB接收到的MTC设备与附接到该eNB的MTC设备的数量的信道质量指示的比率作为准则来调整可以接入eNB的MTC设备的估计数量。结果，所提出的CACB-LB可以具有比CACB更好的一组接入等级限制速率，并且可以减少MTC设备经历的随机接入延迟，这也适用于用户设备（UE）。 MTC设备成功接入eNB后，eNB需要为MTC设备分配无线资源。另外，所提出的TARRM基于MTC设备的随机接入速率和由MTC设备在同类MTC设备网络中上载和下载的数据量以及MTC设备在网络中的优先级来为MTC设备分配无线电资源。异构MTC设备网络。此外，我们使用来自认知无线电网络的概念，使得如果存在未使用的UE物理资源块（PRB），则eNB可以调度MTC设备使用这些PRB来提高吞吐量性能。仿真结果表明，无论是在同质MTC设备网络中，还是在异构MTC设备网络中，建议的CACB-LB的UE / MTC设备的平均访问延迟和UE / MTC设备的平均吞吐量都比CACB的要好。带有TARRM的UE / MTC设备的平均吞吐量的建议CACB-LB也高于CACB。因此，提出的具有TARRM的CACB-LB对于LTE-A上的M2M通信是可行的。

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