Abstract
Ultra-reliable and low-latency communication (URLLC) is considered as one of the major use cases in 5G networks to support the emerging mission-critical applications. One of the possible tools to achieve URLLC is the device-to-device (D2D) network. Due to the physical proximity of communicating devices, D2D networks can significantly improve the latency and reliability performance of wireless communication. However, the resource management of D2D networks is usually a non-convex combinatorial problem that is difficult to solve. Traditional methods usually optimize the resource allocation in an iterative way, which leads to high computational complexity. In this paper, we investigate the resource allocation problem in the time-sensitive D2D network where the latency and reliability performance is modeled by the achievable rate in the short blocklength regime. We first design a game theory-based algorithm as the baseline. Then, we propose a deep learning (DL)-based resource management framework using deep neural network (DNN). The simulation results show that the proposed DL-based method achieves almost the same performance as the baseline algorithm, while it is more time-efficient due to the end-to-end structure.
Highlights
Academic Editor: Sergio Toral MarínThe focus of the fifth-generation (5G) wireless communication networks is to provide reliable services for various applications with the design objectives of high throughput, reduced end-to-end latency, and massive device connectivity [1]
To support the emerging mission-critical applications that are sensitive to time delay and transmission reliability [2], it is necessary for wireless communication systems to achieve high quality of service (QoS)
We focus on the overlay mode to avoid the performance degradation of cellular users (CUs)
Summary
The focus of the fifth-generation (5G) wireless communication networks is to provide reliable services for various applications with the design objectives of high throughput, reduced end-to-end latency, and massive device connectivity [1]. The reliability can be improved by allocating more radio resources, such as spectrum, re-transmissions, etc., which leads to the increase of transmission latency and the degradation of throughput performance [5]. D2D pairs transmit data on the spectrum allocated to cellular users (CUs), resulting in the interference between D2D pairs and CUs. To improve the system performance of the underlay mode, some methods have been developed to alleviate the co-channel interference, including mode selection [8]. It is necessary to determine the proper channel and power allocation for D2D pairs to guarantee the system performance, including throughput, latency, and reliability
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