This paper proposes a self-adaptive channel assignment framework using Q-learning to optimize system throughput, user fairness, and interference mitigation.

The paper introduces The AI Telco Engineer (AITE), a framework for autonomously designing wireless communication algorithms using large language models, achieving better performance and reduced latenc…

The paper proposes GUIDE, a physics-guided deep unfolding framework that enables practical, real-time cross-band channel prediction for AI-RAN by embedding wireless channel physics, significantly impr…

This paper proposes a framework for multi-site channel charting in wireless networks using topological signal processing, enabling coherent integration of locally learned representations into a shared…

Proposed EvoOMG framework optimizes throughput in heterogeneous Wi-Fi networks with both legacy and MLO-capable stations using an evolution-oriented multi-agent guidance approach.

The paper proposes iCoTASC, a framework for real-time, channel-adaptive semantic resource allocation in collaborative multi-device systems using importance-aware embedding selection, data-driven utili…

This paper proposes a new approach for designing Radio Access Network (RAN) slices in 5G and beyond networks using descriptors that consider both transmission rate and latency requirements to support…

The paper proposes a lightweight, self-adaptive framework using LoRA to efficiently extract and aggregate radio frequency fingerprints for robust open-set authentication in dynamic wireless environmen…

The paper proves a stochastic comparison for Gaussian maxima, resolving the Weak Simplex Conjecture and proving the Simplex Mean Width Conjecture.

This paper proposes a model for cross-band CSI reconstruction in multi-band low-altitude wireless systems using radio-frequency metadata and pilot-guided cross-attention.

This paper proposes a Bayesian Optimization-based framework for multipath QUIC (MPQUIC) scheduling that jointly considers maximum upload completion time and total LTE usage, identifying Pareto-efficie…

This paper proposes a protocol framework for making the 6G air interface AI-native, focusing on interoperability and preserving implementation freedom.

This paper proposes a new method, multibit quantized precoding (MQP), for multi-user massive MIMO systems with low-resolution digital-to-analog converters, enforcing the finite-alphabet constraint thr…

This paper proposes a UAV trajectory optimization framework with continual transfer learning within the O-RAN architecture for 6G cellular systems.

This paper investigates the fundamental limits and optimal design for Integrated Sensing and Communication (ISAC) systems under noncoherent conditions, deriving a lower bound for noncoherent mutual in…

This paper investigates distributed latent-space alignment in multi-user semantic MIMO interference networks with cognitive radio constraints.

The paper proposes BaSE, a multi-armed bandit approach, to optimally allocate a fixed budget of LLM calls across parallel evolutionary search trajectories, significantly improving mean fitness and rel…