Maximizing Joint Data Rate and Resource Efficiency in D2D-IoT Enabled Multi-Tier Networks
Maximizing Joint Data Rate and Resource Efficiency in D2D-IoT Enabled Multi-Tier Networks
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DOI：
10.1109/lcn44214.2019.8990781
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发表时间：
2019-10
期刊：
影响因子：
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通讯作者：
A. Pratap;Shivani Singh;S. Satapathy;Sajal K. Das
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文献类型：
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作者：
A. Pratap;Shivani Singh;S. Satapathy;Sajal K. Das
在基于雾计算的蜂窝网络中，下一代无线网络预计将高度密集，拥有大量支持设备到设备（D2D）通信的物联网设备。异构网络架构的密集部署有望满足智能设备不断增长的数据需求、降低功耗以及满足更低的延迟限制。预计5G技术将拥有这种具有不同计算能力以及支持无线电的物联网设备的多层架构。然而，这种异构网络模型的共存引发了诸如干扰管理、设备连接性和服务期限不一致导致的计算能力不一致等研究挑战。因此，在本文中，我们提出了蜂窝网络中D2D - 物联网（D - IoT）和雾计算模型的共存，并将这种多层架构中的资源分配问题表述为一个综合考虑不同类型干扰、数据速率和延迟的优化问题，进而提出一种基于分布式多对多稳定匹配的解决方案。通过广泛的理论和模拟分析，我们展示了不同参数对资源分配目标的影响，并实现了超过94%的最优网络性能。
The next-generation wireless network is expected to be highly dense with a large number of Device-to-Device (D2D) communication enabled IoT devices in fog computing based cellular networks. The dense deployment of the heterogeneous network architecture is expected to fulfill the smart devices’ growing data demand, lower power consumption, and lower latency constraint. The 5G technology is expected to have such multi-tier architecture with various computational capability and radio enabled IoT devices. However, the coexistence of such heterogeneous network model spawns research challenges such as interference management, non-uniform computational capacity with non-uniform devices connectivity and service deadline. Thus, in this paper, we propose a coexistence of D2D-IoT (D-IoT) and fog computing model in cellular networks and formulate the resource allocation problem in such a multi-tier architecture considering different kinds of interference, data rate, and latency altogether as an optimization problem and further propose a distributed many-to-many stable matching based solution. Through extensive theoretical and simulation analysis, we have shown the effect of different parameters on the resource allocation objectives and achieve more than 94% of optimum network performance.