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<p>Chatper-1:          Next Generation Multiple Access towards 6G</p> <p>                                             Yuanwei Liu, Liang Liu, Zhiguo Ding, and Xuemin (Sherman) Shen</p> <p>Chatper-2:          Modulation Techniques for NGMA/NOMA</p> <p>                                             Xuan Chen, Qiang Li, and Miaowen Wen</p> <p>Chatper-3:          NOMA Transmission Design with Practical Modulations</p> <p>Tianying Zhong, Yuan Wang, and Jiaheng Wang</p> <p> </p> <p>Chatper-4:          Optimal Resource Allocation for NGMA</p> <p>                                             Sepehr Rezvani and Eduard Jorswieck</p> <p> </p> <p>Chatper-5:           Cooperative NOMA</p> <p>                                             Yao Xu, Bo Li, Nan Zhao, Jie Tang, Dusit Niyato, and Kai-Kit Wong</p> <p> </p> <p>Chatper-6:          NOMA-aware Wireless Content Caching Networks</p> <p>                                             Lu Yin, Wenfang Guo, and Tianzhu Song</p> <p> </p> <p>Chatper-7:           NOMA-aware Wireless Content Caching Networks</p> <p>                                             Yaru Fu, Zheng Shi, and Tony Q. S. Quek</p> <p> </p> <p>Chatper-8:           NOMA Empowered Multi-access Edge Computing and Edge Intelligence</p> <p>                                             Yuan Wu, Yang Li, Liping Qian, and Xuemin (Sherman) Shen</p> <p> </p> <p>Chatper-9:           Exploiting Non-Orthogonal Multiple Access in Integrated Sensing and Communications</p> <p>               Xidong Mu, Zhaolin Wang, and Yuanwei Liu</p> <p> </p> <p>Chatper-10:        Capacity of Many-Access Channels</p> <p>Lina Liu and Dongning Guo</p> <p> </p> <p> </p> <p> </p> <p>Chatper-11:        Random Access Techniques for Machine-Type Communication</p> <p>                                             Jinho Choi</p> <p> </p> <p>Chatper-12:        Grant-Free Random Access via Compressed Sensing: Algorithm and Performance</p> <p>               Yongpeng Wu, Xinyu Xie, Tianya Li, and Boxiao Shen</p> <p> </p> <p>Chatper-13:        Algorithm Unrolling for Massive Connectivity in IoT Networks\</p> <p>                                             Yinan Zou, Yong Zhou, and Yuanming Shi</p> <p> </p> <p>Chatper-14:        Grant-Free Massive Random Access: Joint Activity Detection, Channel Estimation, and Data Decoding</p> <p>               Xinyu Bian, Yuyi Mao, and Jun Zhang</p> <p> </p> <p>Chatper-15:        Joint User Activity Detection, Channel Estimation, and Signal Detection for Grant-free Massive Connectivity</p> <p>               Zhichao Shao, Shuchao Jiang, Chongbin Xu, Xiaojun Yuan,and Xin Wang</p> <p> </p> <p>Chatper-16:        Grant-Free Random Access via Covariance-Based Approach</p> <p>                                             Ya-Feng Liu, Wei Yu, Ziyue Wang, Zhilin Chen, and Foad Sohrabi</p> <p> </p> <p>Chatper-17:        Deep Learning-Enabled Massive Access</p> <p>                                             Ying Cui, Bowen Tan, Wang Liu, and Wuyang Jiang</p> <p> </p> <p>Chatper-18:        Massive Unsourced Random Access</p> <p>                                             Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani, and Ekram Hossain</p> <p> </p> <p>Chatper-19:        Holographic-Pattern Division Multiple Access</p> <p>                                             Ruoqi Deng, Boya Di, and Lingyang Song</p> <p> </p> <p>Chatper-20:        Over-the-Air Computation</p> <p>                                             Yilong Chen, Xiaowen Cao, Jie Xu, Guangxu Zhu, Kaibin Huang,</p> <p>and Shuguang Cui</p> <p>Chatper-21:        Multi-Dimensional Multiple Access for 6G: Efficient Radio Resource Utilization  and Value-Oriented Service Provisioning</p> <p>               Wudan Han, Jie Mei, and Xianbin Wang</p> <p> </p> <p>Chatper-22:        Efficient Federated Meta-Learning over Multi-Access Wireless Networks</p> <p>                                             Sheng Yue and Ju Ren</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>

<p><b>Yuanwei Liu, PhD, </b>is a Senior Lecturer (Associate Professor) with the School of Electronic Engineering and Computer Science at Queen Mary University of London, UK. <p><b>Liang Liu, PhD, </b>is an Assistant Professor in the Department of Electrical and Electronic Engineering at Hong Kong Polytechnic University. <p><b>Zhiguo Ding, PhD, </b>is a Professor in Communications with the Department of Electrical and Electronic Engineering at the University of Manchester, UK. <p><b>Xuemin Shen, PhD, </b>is a Professor with the Department of Electrical and Computer Engineering at the University of Waterloo, Canada

<p> <b>Highly comprehensive resource investigating how next-generation multiple access (NGMA) relates to unrestricted global connection, business requirements, and sustainable wireless networks</b> <p><i>Next Generation Multiple Access </i>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. <p>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. <p>Written by four leading experts in the field, <i>Next Generation Multiple Access </i>includes information on: <ul><li>Foundation and application scenarios for non-orthogonal multiple access (NOMA) systems, including modulation, detection, power allocation, and resource management </li><li>NOMA’s interaction with alternate applications such as satellite communication systems, terrestrial-satellite communication systems, and integrated sensing </li><li>Collision resolution, compressed sensing aided massive access, latency management, deep learning enabled massive access, and energy harvesting </li><li>Holographic-pattern division multiple access, over-the-air transmission, multi-dimensional multiple access, sparse signal detection, and federated meta-learning assisted resource management</li></ul> <p><i>Next Generation Multiple Access </i>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.

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