Division of Electronic Engineering, Jeonbuk National University, Jeonbuk 54896, Korea.
Sensors (Basel). 2021 Mar 31;21(7):2409. doi: 10.3390/s21072409.
In this paper, we propose a multi-zone service control scheme to maximize the performance of each service zone when a large number of cellular service zones and Device-to-Device (D2D) service zones are composed into the 5G cellular network. This paper also improves performance of service zone by dividing traffic into real-time traffic and non-real-time traffic in order to minimize traffic interference. Real-time traffic and non-real-time traffic have a significant impact on communication performance. We propose a new self-detection traffic interference control technique to improve the Quality of Service (QoS) and throughput of D2D and Cellular-to-Device (C2D) communication in a cellular network, Self-detecting Traffic Interference Control Scheme (STICS). The proposed STICS mechanism distinguishes between short-term traffic congestion process and long-term traffic congestion process according to traffic characteristics to detect and control traffic. When the proposed scheme is applied to the 5G-based cellular network environment, it is expected that the traffic type will be efficiently classified by self-detecting the traffic according to the flow. Such classified traffic is less sensitive to communication between the D2D and C2D links, thereby reducing traffic overload. We evaluate the performance of the proposed scheme through simulation and show that the proposed scheme is more efficient than other comparison schemes.
在本文中，我们提出了一种多区域服务控制方案，当大量的蜂窝服务区和设备到设备（D2D）服务区组成 5G 蜂窝网络时，该方案可以最大限度地提高每个服务区的性能。本文还通过将流量分为实时流量和非实时流量来提高服务区的性能，以最小化流量干扰。实时流量和非实时流量对通信性能有重大影响。我们提出了一种新的自检测流量干扰控制技术，以提高 D2D 和蜂窝到设备（C2D）通信在蜂窝网络中的服务质量（QoS）和吞吐量，自检测流量干扰控制方案（STICS）。所提出的 STICS 机制根据流量特性区分短期流量拥塞过程和长期流量拥塞过程，以检测和控制流量。当将所提出的方案应用于基于 5G 的蜂窝网络环境时，预计根据流量对流量进行自检测将有效地对流量类型进行分类。这种分类后的流量对 D2D 和 C2D 链路之间的通信不太敏感，从而减少了流量过载。我们通过仿真评估了所提出方案的性能，结果表明所提出的方案比其他比较方案更有效。
