This paper investigates the downlink performance of CoMS-NOMA networks from a system-level perspective.

This paper investigates the impact of distribution matching algorithms on the secret key rate and tolerance to excess noise in continuous variable quantum key distribution protocols with discrete modu…

This paper analyzes the non-monotonic relationship between perturbation power and the probability of delaying the first error position in finite-length PE-SC decoding. It proposes an efficient perturb…

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

This paper proposes an FSO link with ORIS and HARQ for reliable data transmission, deriving statistical models, outage probability expressions, and delay characterization.

The paper proposes DRIFT, a lightweight joint channel estimation and prediction framework, to significantly reduce pilot overhead and boost spectral efficiency in power-constrained LEO Non-Terrestrial…

The paper analyzes the structured CVP distance on the log-unit lattice of cyclotomic fields, significantly reducing the conjectured CDPR factor for the ML-KEM cryptosystem from exponential to sub-poly…

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 hierarchical analytical framework to characterize region-level latency differences in Low-Earth orbit satellite Internet using Starlink RTT measurements.

This paper derives closed-form expressions for the effective channel between users in a multiuser Zak-OTFS system with heterogeneous delay-Doppler periods, and shows negligible inter-user interference…

This paper derives the asymptotic distribution of the k-th maximum order statistics of signal to noise ratio for a κ-μ fading channel using extreme value theory, and applies these results to various c…

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…

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…

This paper proposes a multi-user PA-enabled EDMA framework to maximize total information rate in the presence of probabilistic LoS blockages, random NLoS scattering, and practical inwaveguide attenuat…