2025 Journal Issues January 23, 2026
Special Issue: The Road to 6G: Driving the Next Wave of Connectivity—Part II
Volume 113, Issue 9
September 2025
Guest Editors




Special Issue Papers
By M.-S. Alouini, E. Björnson, M. Tao, and Y. Mostofi
By A. E. Kalør, G. Durisi, S. Coleri, S. Parkvall, W. Yu, A. Mueller, and P. Popovski
This article examines how the two flagship 5G service classes massive-machine-type communications (mMTC) and ultrareliable low-latency communications (URLLC)] are expected to evolve in 6G systems.
By W. Saad, O. Hashash, C. K. Thomas, C. Chaccour, M. Debbah, N. Mandayam, and Z. Han
This article presents a vision for next-generation wireless systems using artificial general intelligence (AGI)-native networks, going beyond conventional AI-native approaches.
By D. Gündüz, M. A. Wigger, T.-Y. Tung, P. Zhang, and Y. Xiao
This article discusses semantic- and task-oriented communication as a means to reduce latency and bandwidth in next-generation networks by transmitting only information relevant to a specific task.
By J. M. Jornet, V. Petrov, H. Wang, Z. Popovi´c, D. Shakya, J. V. Siles, and T. S. Rappaport
This article provides a comprehensive roadmap for terahertz wireless communication, a frequency band historically used for radar, imaging, and spectroscopy but limited for wireless due to hardware challenges and lack of immediate need.
By W. Hurst, S. Evmorfos, A. Petropulu, and Y. Mostof
This article explores the role of uncrewed vehicles as autonomous agents in 6G wireless networks.
By K. Ntontin, E. Lagunas, J. Querol, J. ur Rehman, J. Grotz, S. Chatzinotas, and B. Ottersten
This article provides a forward-looking vision of satellite communications beyond 2030, highlighting technological advancements and use cases.
By L. Hanzo, Z. Babar, Z. Cai, D. Chandra, I. B. Djordjevic, B. Koczor, S. X. Ng, M. Razavi, and O. Simeone
This article surveys recent advances in quantum information processing, sensing, and communications, identifying knowledge gaps and proposing a roadmap for future development.
By M. Tao, Y. Zhou, Y. Shi, J. Lu, S. Cui, J. Lu and K. B. Letaief
This article examines the role of federated edge learning in enabling AI-native 6G networks.