Next Generation Multiple Access

Highly comprehensive resource investigating how next-generation multiple access (NGMA) relates to unrestricted global connection, business requirements, and sustainable wireless networks

Next Generation Multiple Access is a comprehensive, state-of-the-art, and approachable guide to the fundamentals and applications of next-generation multiple access (NGMA) schemes, guiding the future development of industries, government requirements, and military utilization of multiple access systems for wireless communication systems and providing various application scenarios to fit practical case studies.

The scope and depth of this book are balanced for both beginners to advanced users. Additional references are provided for readers who wish to learn more details about certain subjects. Applications of NGMA outside of communications, including data and computing assisted by machine learning, protocol designs, and others, are also covered.

Written by four leading experts in the field, Next Generation Multiple Access includes information on:

• Foundation and application scenarios for non-orthogonal multiple access (NOMA) systems, including modulation, detection, power allocation, and resource management
• NOMA’s interaction with alternate applications such as satellite communication systems, terrestrial-satellite communication systems, and integrated sensing
• Collision resolution, compressed sensing aided massive access, latency management, deep learning enabled massive access, and energy harvesting
• Holographic-pattern division multiple access, over-the-air transmission, multi-dimensional multiple access, sparse signal detection, and federated meta-learning assisted resource management

Next Generation Multiple Access is an essential reference for those who are interested in discovering practical solutions using NGMA technology, including researchers, engineers, and graduate students in the disciplines of information engineering, telecommunications engineering, and computer engineering.

Chatper-1:          Next Generation Multiple Access towards 6G

                                             Yuanwei Liu, Liang Liu, Zhiguo Ding, and Xuemin (Sherman) Shen

Chatper-2:          Modulation Techniques for NGMA/NOMA

                                             Xuan Chen, Qiang Li, and Miaowen Wen

Chatper-3:          NOMA Transmission Design with Practical Modulations

Tianying Zhong, Yuan Wang, and Jiaheng Wang

Chatper-4:          Optimal Resource Allocation for NGMA

                                             Sepehr Rezvani and Eduard Jorswieck

Chatper-5:           Cooperative NOMA

                                             Yao Xu, Bo Li, Nan Zhao, Jie Tang, Dusit Niyato, and Kai-Kit Wong

Chatper-6:          NOMA-aware Wireless Content Caching Networks

                                             Lu Yin, Wenfang Guo, and Tianzhu Song

Chatper-7:           NOMA-aware Wireless Content Caching Networks

                                             Yaru Fu, Zheng Shi, and Tony Q. S. Quek

Chatper-8:           NOMA Empowered Multi-access Edge Computing and Edge Intelligence

                                             Yuan Wu, Yang Li, Liping Qian, and Xuemin (Sherman) Shen

Chatper-9:           Exploiting Non-Orthogonal Multiple Access in Integrated Sensing and Communications

               Xidong Mu, Zhaolin Wang, and Yuanwei Liu

Chatper-10:        Capacity of Many-Access Channels

Lina Liu and Dongning Guo

Chatper-11:        Random Access Techniques for Machine-Type Communication

                                             Jinho Choi

Chatper-12:        Grant-Free Random Access via Compressed Sensing: Algorithm and Performance

               Yongpeng Wu, Xinyu Xie, Tianya Li, and Boxiao Shen

Chatper-13:        Algorithm Unrolling for Massive Connectivity in IoT Networks\

                                             Yinan Zou, Yong Zhou, and Yuanming Shi

Chatper-14:        Grant-Free Massive Random Access: Joint Activity Detection, Channel Estimation, and Data Decoding

               Xinyu Bian, Yuyi Mao, and Jun Zhang

Chatper-15:        Joint User Activity Detection, Channel Estimation, and Signal Detection for Grant-free Massive Connectivity

               Zhichao Shao, Shuchao Jiang, Chongbin Xu, Xiaojun Yuan,and Xin Wang

Chatper-16:        Grant-Free Random Access via Covariance-Based Approach

                                             Ya-Feng Liu, Wei Yu, Ziyue Wang, Zhilin Chen, and Foad Sohrabi

Chatper-17:        Deep Learning-Enabled Massive Access

                                             Ying Cui, Bowen Tan, Wang Liu, and Wuyang Jiang

Chatper-18:        Massive Unsourced Random Access

                                             Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani, and Ekram Hossain

Chatper-19:        Holographic-Pattern Division Multiple Access

                                             Ruoqi Deng, Boya Di, and Lingyang Song

Chatper-20:        Over-the-Air Computation

                                             Yilong Chen, Xiaowen Cao, Jie Xu, Guangxu Zhu, Kaibin Huang,

and Shuguang Cui

Chatper-21:        Multi-Dimensional Multiple Access for 6G: Efficient Radio Resource Utilization  and Value-Oriented Service Provisioning

               Wudan Han, Jie Mei, and Xianbin Wang

Chatper-22:        Efficient Federated Meta-Learning over Multi-Access Wireless Networks

                                             Sheng Yue and Ju Ren

Yuanwei Liu, PhD, is a Senior Lecturer (Associate Professor) with the School of Electronic Engineering and Computer Science at Queen Mary University of London, UK.

Liang Liu, PhD, is an Assistant Professor in the Department of Electrical and Electronic Engineering at Hong Kong Polytechnic University.

Zhiguo Ding, PhD, is a Professor in Communications with the Department of Electrical and Electronic Engineering at the University of Manchester, UK.

Xuemin (Sherman) Shen, PhD, is a Professor with the Department of Electrical and Computer Engineering at the University of Waterloo, Canada.