11 papers
Computationally Efficient Neural Receivers via Axial Self-Attention
SaiKrishna Saketh Yellapragada, Atchutaram K. Kocharlakota, Mário Costa +2
The paper introduces an axial self‑attention transformer neural receiver that reduces computational complexity while achieving state‑of‑the‑art block error rate performance for wir…
Nuisance parameters and elliptically symmetric distributions: a geometric approach to parametric and semiparametric efficiency
Stefano Fortunati, Jean-Pierre Delmas, Esa Ollila
The paper derives explicit formulas for the projection onto the nuisance tangent space in elliptically symmetric distribution models, enabling exact efficiency analysis for estimat…
Finer Parameter Steps for Low-Rank PEFT: A Controlled Study with CP Tensor Adapters
Xinjue Wang, Xiuheng Wang, Yejun Zhang +3
Low-rank adapters are usually compared by sweeping a small set of ranks, but the rank also fixes the resolution of the parameter budget. For a OPT attention proj…
Frequency Range 3 for ISAC in 6G: Potentials and Challenges
Gayan Aruma Baduge, Mojtaba Vaezi, Janith K. Dassanayake +3
Spanning 7-24 GHz, frequency range 3 (FR3), is a key enabler for next-generation wireless networks by bridging the coverage of sub-6 GHz and the capacity of millimeter-wave bands.…
Efficient Quantization-Aware Neural Receivers: Beyond Post-Training Quantization
SaiKrishna Saketh Yellapragada, Esa Ollila, Mario Costa
As wireless communication systems advance toward Sixth Generation (6G) Radio Access Networks (RAN), Deep Learning (DL)-based neural receivers are emerging as transformative solutio…
A Tutorial on AI-Empowered Integrated Sensing and Communications
Mojtaba Vaezi, Gayan Aruma Baduge, Esa Ollila +1
Integrating sensing and communication (ISAC) can help overcome the challenges of limited spectrum and expensive hardware, leading to improved energy and cost efficiency. While full…