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首页> 外文会议>IEEE Global Communications Conference >Service time prediction based dynamic resource allocation for device-to-device communication underlaying cellular networks
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Service time prediction based dynamic resource allocation for device-to-device communication underlaying cellular networks

机译：基于服务时间预测的蜂窝网络下设备间通信的动态资源分配

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摘要

Resource allocation is a critical issue in device-to-device (D2D) communication underlying cellular networks. Existing work only considers static resource allocation, which cannot well address the dynamic resource allocation problem in a real cellular network. This paper studies dynamic resource allocation for D2D communication and proposes a service time prediction based dynamic resource allocation mechanism for a cellular network system. The proposed allocation mechanism considers different service types, and introduces the concept of "utility" as a metric to reflect the performance of a user or the system, and takes into account service time prediction in spectral resource allocation. Specifically, it enables the base station to predict the service time of a new user and the remaining service time of existing users in the system, and take into account the predicted service time and remaining service time in calculating the utility gain caused by a new user. Based on the estimated utility gain, the base station will select the physical resource block (PRB) with the largest utility gain every time it allocates a PRB to the new user. Simulation results show that the proposed dynamic allocation mechanism can significantly improve the system performance in terms of the system utility and the number of users successfully admitted to the system.
机译：资源分配是蜂窝网络底层的设备到设备（D2D）通信中的关键问题。现有工作仅考虑静态资源分配，不能很好地解决实际蜂窝网络中的动态资源分配问题。本文研究了用于D2D通信的动态资源分配，并提出了一种基于服务时间预测的蜂窝网络系统动态资源分配机制。所提出的分配机制考虑了不同的服务类型，并引入“效用”的概念作为反映用户或系统性能的度量，并在频谱资源分配中考虑了服务时间预测。具体地，它使基站能够预测新用户的服务时间和系统中现有用户的剩余服务时间，并在计算新用户引起的效用增益时考虑到预测的服务时间和剩余服务时间。 。基于估计的效用增益，基站每次将PRB分配给新用户时，都会选择效用增益最大的物理资源块（PRB）。仿真结果表明，所提出的动态分配机制可以从系统实用性和成功进入系统的用户数量方面显着提高系统性能。

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