Journal
IEEE NETWORK
Volume 34, Issue 3, Pages 86-91Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MNET.001.1900652
Keywords
6G mobile communication; Artificial intelligence; Device-to-device communication; Sensors; 5G mobile communication; Wireless communication; NOMA
Categories
Funding
- National Natural Science Foundation of China [61771374, 61771373, 61801360, 61601357]
- Fundamental Research Fund for the Central Universities [3102019PY005, 310201905200001]
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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.
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