Envisioning Device-to-Device Communications in 6G

Shangwei Zhang, Jiajia Liu, Hongzhi Guo, Mingping Qi, Nei Kato

Research output: Contribution to journalArticlepeer-review

214 Scopus citations

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.

Original languageEnglish
Article number9048621
Pages (from-to)86-91
Number of pages6
JournalIEEE Network
Volume34
Issue number3
DOIs
StatePublished - 1 May 2020

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