Matched-filter Precoded Rate Splitting Multiple Access: Energy-efficient Design
MF-precoded RSMA offers improved energy efficiency and reduced complexity compared to conventional RSMA.
Semantic-Aware Remote Estimation of Multiple Markov Sources Under Constraints
Optimizing remote estimation of multiple Markov sources under constraints through semantic-aware communication.
Achievability Bound for Variable-Length Stop-Feedback Coding over Gaussian Channel
Feedback in communication schemes enhances error convergence rates with variable-length coding.
mmWave/THz Frequencies Cooperative Rate-Splitting for Energy-Efficient Communication Systems
提案されたアルゴリズムは、ミリ波/テラヘルツ周波数のマルチユーザーダウンリンク通信システムにおいてエネルギー消費を最小化することを目的としています。
Beamforming Design for Semantic-Bit Coexisting Communication System Analysis
Optimizing beamforming for semantic-bit coexisting systems is crucial for maximizing performance and efficiency.
Low-Complexity Beam Training for Multi-RIS-Assisted Multi-User Communications
The author proposes a novel hashing multi-arm beam training scheme to reduce complexity and improve accuracy in multi-user millimeter wave communication systems.
Soft Interference Cancellation Inspired Neural Network Equalizers
The authors propose SICNNv1 and SICNNv2, NN-based equalizers inspired by iterative soft interference cancellation, to improve performance and reduce complexity in communication systems.
Deep Reinforcement Learning Enhanced Rate-Splitting Multiple Access for Interference Mitigation
The author employs deep reinforcement learning to optimize precoders and power allocation in RSMA, addressing interference challenges in communication systems.
Decoding Bit-Interleaved Coded Modulations with Neural Networks
The author introduces a framework for using Syndrome-Based Neural Decoders (SBND) for high-order Bit-Interleaved Coded Modulations (BICM), extending previous results to different modulation schemes. The proposed SBND system is implemented and compared for two polar codes using different neural network architectures.
Rate-Splitting Multiple Access for Simultaneous Multi-User Communication and Multi-Target Sensing Study
The study introduces RSMA in a multi-user multi-target ISAC system, optimizing the waveform to enhance communication users' MMF rate and minimize CRB for unbiased estimation.
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