Age of Information

Nikolaos Pappas is Associate Professor in mobile telecommunications with the Department of Computer and Information Science, Linköping University. He serves as an Editor for three IEEE journals. Mohamed A. Abd-Elmagid is a Graduate Research Assistant with the Department of Electrical and Computer Engineering at Virginia Tech. Bo Zhou is a Professor at the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, China. He received the best paper awards at IEEE GLOBECOM in 2018 and IFIP NTMS in 2019. He was recognized as an exemplary reviewer of IEEE Transactions on Communications in 2019 and 2020. Walid Saad is a Professor at the Department of Electrical and Computer Engineering at Virginia Tech, where he leads the Network Science, Wireless and Security laboratory. He was the author/co-author of ten conference best paper awards and of the 2015 IEEE ComSoc Fred W. Ellersick Prize. He is an IEEE Fellow. Harpreet S. Dhillon is an Associate Professor of Electrical and Computer Engineering at Virginia Tech. He is a Clarivate Analytics Highly Cited Researcher and a recipient of five best paper awards, including the IEEE Leonard G. Abraham Prize, the IEEE Heinrich Hertz Award, and the IEEE Communications Society Young Author Best Paper Award.

• 1. The probability distribution of the age of information Yoshiaki Inoue, Tetsuya Takine and Toshiyuki Tanaka; 2. On the distribution of AoI Jaya Champati and James Gross; 3. Multi-source queueing models Sanjit K. Kaul and Roy D. Yates; 4. Controlling the age of information: buffer size, deadlines and packet management Sastry Kompella and Clement Kam; 5. Timely status updating via packet management in multi-source systems Mohammad Moltafet, Markus Leinonen and Marian Codreanu; 6. Age of information in source coding Melih Bastopcu, Baturalp Buyukates and Sennur Ulukus; 7. Sample and scheduling for minimizing age of information of multiple sources Ahmed M. Bedewy, Yin Sun, Sastry Kompella and Ness Shroff; 8. Age-efficient scheduling in communication networks Bin Li, Bo Ji and Atilla Eryilmaz; 9. AoI-driven transmission scheduling in wireless networks Qing He, Di Yuan, György Dán and Anthony Ephremides; 10. Age of information and remote estimation Tasmeen Zaman Ornee and Yin Sun; 11. Networked control subject to random processing delay Touraj Soleymani, John S. Baras and Karl Henrik Johansson; 12. Age of information in practice Elif Uysal, Onur Kaya, Saijad Baghaee and Hasan Burhan Beytur; 13. Reinforcement learning for minimizing age of information over wireless links Elif Tugce Ceran, Deniz Gündüz and András György; 14. Information freshness in large-scale wireless networks: a stochastic geometry approach Howard H. Yang and Tony S. Quek; 15. Age of channel state information Shahab Farazi, Andrew G. Klein and Donald Richard Brown III; 16. Transmission preemption for information freshness optimization Songtao Feng, Boyu Wang, Chenghao Deng and Jing Yang; 17. Economics of fresh data trading Meng Zhang, Ahmed Arafa, Jianwei Huang and H. Vincent Poor; 18. UAV-assisted status updates Juan Liu, Xijun Wang, Bo Bai and Huaiyu Dai; References, Index.

'As communication networks become increasingly integrated with sensing, computing, and storage platforms, the age of information is emerging as a versatile and tractable performance measure that captures the relevance of information for applications such as control and machine learning. Edited and contributed by leading experts in the field, this book is an excellent introduction to the topic and an essential reference for researchers in communications.' Osvaldo Simeone, King's College London