Envisioning Device-to-Device Communications in 6G

TL;DR

This paper explores the role of device-to-device communication in 6G networks, emphasizing AI-driven solutions like edge computing, network slicing, and NOMA to enable intelligent, low-latency, and high-speed connectivity.

Contribution

It proposes potential AI-enabled D2D solutions tailored for 6G, integrating edge computing, network slicing, and NOMA for future network efficiency.

Findings

AI will be central to 6G network automation

D2D communication enhances 6G connectivity

Potential solutions include edge computing, network slicing, NOMA

Abstract

To fulfill the requirements of various emerging applications, the future sixth generation (6G) mobile network is expected to be an innately intelligent, highly dynamic, ultradense heterogeneous network that interconnects all things with extremely low-latency and high speed data transmission. It is believed that artificial intelligence (AI) will be the most innovative technique that can achieve intelligent automated network operations, management and maintenance in future complex 6G networks. Driven by AI techniques, device-to-device (D2D) communication will be one of the pieces of the 6G jigsaw puzzle. To construct an efficient implementation of intelligent D2D in future 6G, we outline a number of potential D2D solutions associating with 6G in terms of mobile edge computing, network slicing, and Non-orthogonal multiple access (NOMA) cognitive Networking.