Multiple Access Technology Towards Ubiquitous Networks (eBook)

This book investigates the multiuser communication and its key technology-multiple access technology, as well as transceiving design methods. Multiple access methods toward B5G and 6G currently allows the superposition transmissions of multiuser signals with controllable mutual interference. By deploying advanced multiuser detector, current technology significantly enhances the connectivity, improves the spectral efficiency and simplifies the signaling interactions. Considering that the major challenge of current multiple access technology is the design of transceiver due to the overlapped and distorted signals from multiple users, we analyze the promising candidate multiple access schemes and then develop some sights on how to formulate the transmit signals and how to achieve efficient symbol recovery. Specifically, the incorporation of constellation rotation, rate splitting and deep learning techniques in enhancing the transmission efficiency of multiple access technology are considered.

Neng Ye received his B.E. and Ph.D degrees (hons.) from Beijing Institute of Technology, China, in 2015 and 2021, respectively. He was a 5G/B5G research intern with the Wireless Technology Department, DOCOMO Beijing Laboratories, from 2015 to 2020. He is currently an assistant professor with the School of Cyberspace Science and Technology, Beijing Institute of Technology. He is a Young Editor of the Journal of Electronics & Information Technology. In his work, he focuses on both research and standardization of next generation radio access. His research interests include multi-user information theory, non-orthogonal multiple access, waveform, cell-free MIMO, and deep learning. 

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This book investigates the multiuser communication and its key technology-multiple access technology, as well as transceiving design methods. Multiple access methods toward B5G and 6G currently allows the superposition transmissions of multiuser signals with controllable mutual interference. By deploying advanced multiuser detector, current technology significantly enhances the connectivity, improves the spectral efficiency and simplifies the signaling interactions. Considering that the major challenge of current multiple access technology is the design of transceiver due to the overlapped and distorted signals from multiple users, we analyze the promising candidate multiple access schemes and then develop some sights on how to formulate the transmit signals and how to achieve efficient symbol recovery. Specifically, the incorporation of constellation rotation, rate splitting and deep learning techniques in enhancing the transmission efficiency of multiple access technology are considered.