Tootfinder

Reducing AoI and Improving Throughput for NOMA-assisted SGF Systems: A Hierarchical Learning Approach
Yuqin Liu, Mona Jaber, Yan Liu, Arumugam Nallanathan
https://arxiv.org/abs/2508.11473

Reducing AoI and Improving Throughput for NOMA-assisted SGF Systems: A Hierarchical Learning Approach
A non-orthogonal multiple access (NOMA) assisted semi-grant-free (SGF) framework is proposed to enable channel access for grant-free users (GFUs) by using residual resources from grant-based users. Under this framework, the problem of joint beamforming design and transmission scheduling is formulated to improve the system throughput and reduce the age-of-information of GFUs. The aforementioned problem is transferred into a Markov Decision Process to model the changing environment with the trans…

Pinching-Antenna Systems (PASS): A Tutorial
Yuanwei Liu, Hao Jiang, Xiaoxia Xu, Zhaolin Wang, Jia Guo, Chongjun Ouyang, Xidong Mu, Zhiguo Ding, Arumugam Nallanathan, George K. Karagiannidis, Robert Schober
https://arxiv.org/abs/2508.07572

Pinching-Antenna Systems (PASS): A Tutorial
Pinching antenna systems (PASS) present a breakthrough among the flexible-antenna technologies, and distinguish themselves by facilitating large-scale antenna reconfiguration, line-of-sight creation, scalable implementation, and near-field benefits, thus bringing wireless communications from the last mile to the last meter. A comprehensive tutorial is presented in this paper. First, the fundamentals of PASS are discussed, including PASS signal models, hardware models, power radiation models, an…