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Saehan Song

dblp:436/8470 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0005-5791-4369ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › MIMO
precoding
1.012026
Sum Rate Maximization for Distortion-Aware RSMA System via Accelerated Gradient-Based Precoding With Near-Optimal Power Scaling · IEEE Trans. Commun. 2026
Physical-layer communications › hardware impairments
power amplifier nonlinearity
0.312026
Sum Rate Maximization for Distortion-Aware RSMA System via Accelerated Gradient-Based Precoding With Near-Optimal Power Scaling · IEEE Trans. Commun. 2026

Methods — techniques the papers use, named apart from their topics

weighted minimum mean square error · 1.0power scaling · 1.0accelerated gradient descent · 1.0
YearPublicationVenuePosition
2026 Sum Rate Maximization for Distortion-Aware RSMA System via Accelerated Gradient-Based Precoding With Near-Optimal Power Scaling
abstract
This paper investigates a practical precoding scheme for rate-splitting multiple access (RSMA) in multi-user multiple-input single-output (MU-MISO) systems where the nonlinear characteristics of power amplifiers are explicitly taken into account. To enhance performance in the presence of distortion caused by nonlinear power amplifiers, we propose an iterative accelerated gradient-based precoding scheme. The proposed precoding scheme is further integrated with a novel power scaling function that dynamically adjusts transmit power to satisfy practical power consumption constraints while maximizing an achievable sum rate. The gradient of the achievable sum rate for the considered system is derived to support efficient gradient-based optimization. We also prove that the proposed iterative precoding scheme converges to a critical point. Simulation results demonstrate that the proposed precoding scheme consistently outperforms modified conventional schemes including distortion-aware and weighted minimum mean square error beamforming, across both overloaded and underloaded scenarios. In particular, the proposed scheme demonstrates consistent performance in high-power regimes, where conventional schemes exhibit severe degradation due to distortion. Furthermore, the proposed precoding scheme exhibits faster convergence compared to the conventional benchmark.
Saehan Song, Jeongju Jee, Hyesang Cho, Junil Choi
IEEE Trans. Commun.1