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Found 8 papers, 0 papers with code
Cooperative Tri-Point Model-Based Ground-to-Air Coverage Extension in Beyond 5G Networks
In this paper, we propose a cooperative tri-point (CoTP) model-based method that utilizes cooperative beams to enhance the G2A coverage extension.
Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approach
Specifically, we replace the optimization of transmit power with that of transmission time to decrease the computational complexity of OP since we reveal that energy consumption monotonically decreases with increasing transmission time.
Inter-domain Resource Collaboration in Satellite Networks: An Intelligent Scheduling Approach Towards Hybrid Missions
Breaking the barriers of independence of resources in each domain, and realizing the cross-domain transmission of missions to efficiently collaborate inter-domain resources is a promising solution.
Joint OAM Radar-Communication Systems: Target Recognition and Beam Optimization
In details, we first propose an OAM-based three-dimensional (3-D) super-resolution position estimation and rotation velocity detection method, which can accurately estimate the 3-D position and rotation velocity of multiple targets.
Radio-Frequency Multi-Mode OAM Detection Based on UCA Samples Learning
Orbital angular momentum (OAM) at radio-frequency provides a novel approach of multiplexing a set of orthogonal modes on the same frequency channel to achieve high spectral efficiencies.
AoA Estimation for OAM Communication Systems With Mode-Frequency Multi-Time ESPRIT Method
Radio orbital angular momentum (OAM) communications require accurate alignment between the transmit and receive beam directions.
Multi-mode OAM Radio Waves: Generation, Angle of Arrival Estimation and Reception With UCAs
To solve these problems, we propose an overall scheme of the line-of-sight multi-carrier and multi-mode OAM (LoS MCMM-OAM) communication based on uniform circular arrays (UCAs).
Cognitive Learning of Statistical Primary Patterns via Bayesian Network
How to learn such a BN structure is a long standing issue, not fully understood even in the statistical learning community.
