Energy-Efficient Machine-to-Machine (M2M) Communications in Virtualized Cellular Networks with Mobile Edge Computing (MEC)
Energy-Efficient Machine-to-Machine (M2M) Communications in Virtualized Cellular Networks with Mobile Edge Computing (MEC)
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DOI：
10.1109/tmc.2018.2865312
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发表时间：
2019-07
影响因子：
7.9
通讯作者：
Meng Li;F. Yu;Pengbo Si;Yanhua Zhang
中科院分区：
文献类型：
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作者：
Meng Li;F. Yu;Pengbo Si;Yanhua Zhang
随着机器型通信设备（mtcd）的不断增加，机器对机器（M2M）通信受到了学术界和工业界的广泛关注。与传统通信网络不同，M2M通信的数据连接规模小，频率高，需要对能耗和计算进行效率优化。本文将移动边缘计算（MEC）引入到具有M2M通信的虚拟化蜂窝网络中，以降低能耗，优化计算资源分配，提高计算能力。此外，根据不同的功能和服务质量（QoS）要求，可以将物理网络虚拟化成多个虚拟网络，然后每个MTCD通过嵌入式sim卡（eSIM）技术选择相应的虚拟网络进行访问。同时，将mtcd的随机访问过程描述为部分可观察马尔可夫决策过程（POMDP），使系统成本最小化，该系统成本包括计算任务的能耗和执行时间。此外，为了促进网络架构的集成，引入了软件定义网络（SDN）来处理网络中的各种协议和标准。大量不同系统参数的仿真结果表明，与现有方案相比，所提方案能显著提高系统性能。
With an increasing number of machine-type communication devices (MTCDs), machine-to-machine (M2M) communications have attracted great attentions from both academia and industry. Different from traditional communication networks, the data connections with M2M communications are typically small-sized but with high frequency, necessitating the efficiency optimization of both energy consumption and computation. In this paper, we introduce mobile edge computing (MEC) into virtualized cellular networks with M2M communications, to decrease the energy consumption and optimize the computing resource allocation as well as improve computing capability. Moreover, based on different functions and quality of service (QoS) requirements, the physical network can be virtualized into several virtual networks, and then each MTCD selects the corresponding virtual network to access through the embedded-SIM (eSIM) technology. Meanwhile, the random access process of MTCDs is formulated as a partially observable Markov decision process (POMDP) to minimize the system cost, which consists of both the energy consumption and execution time of computing tasks. Furthermore, to facilitate the network architecture integration, software-defined networking (SDN) is introduced to deal with the diverse protocols and standards in the networks. Extensive simulation results with different system parameters reveal that the proposed scheme could significantly improve the system performance compared to the existing schemes.