Demo Data from EDBT 2026 / reviewers in the wild / expert
Dong-Hoon Kim 0002
dblp:19/4767-2
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0003-1431-8776ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 1 first-author · 2 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 |
Wireless networking · 50% Internet of things and sensor networks · 25% Physical-layer communications · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks
backscatter communication |
0.9 | 1 | 2025 | CodeScatter: Distortion-Aware Collision Resolution for Concurrent Multiple Access in Backscatter Networks · ICNP 2025 |
Wireless networking
collision resolution |
0.9 | 1 | 2025 | CodeScatter: Distortion-Aware Collision Resolution for Concurrent Multiple Access in Backscatter Networks · ICNP 2025 |
Wireless networking › medium access control
concurrent transmission |
0.9 | 1 | 2025 | CodeScatter: Distortion-Aware Collision Resolution for Concurrent Multiple Access in Backscatter Networks · ICNP 2025 |
Physical-layer communications › multiple access › CDMA systems
near-far problem |
0.9 | 1 | 2025 | CodeScatter: Distortion-Aware Collision Resolution for Concurrent Multiple Access in Backscatter Networks · ICNP 2025 |
Methods — techniques the papers use, named apart from their topics
successive decoding · 0.9orthogonal codes · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | CodeScatter: Distortion-Aware Collision Resolution for Concurrent Multiple Access in Backscatter NetworksabstractConcurrent transmission with collision resolution has been considered as the multiple access solution in backscatter networks. However, designing practical collision resolution mechanisms in backscatter networks is challenging for the following reasons. First, interference from multiple tags accumulates, resulting in strong and complicated inter-tag interference. Second, transmitted signals are distorted by various factors (e.g., imperfect digital filter), which have not been considered in previous collision resolution schemes. Due to these distortions, tag-side mechanism like orthogonal codes, which assume undistorted conditions, are not effective for resolving collision at the receiver. Third, variation in received signal levels across tags often degrades performance in concurrent transmissions (i.e., near-far problem). Although transmit power control was proposed as a solution, it increases tag complexity and energy consumption. To address the challenges, we propose CodeScatter, a distortion-aware design for collision resolution that is robust to near-far problem in backscatter networks. The innovative features of CodeScatter are 1) distortion-aware design and 2) robustness to near-far problem without transmit power control. CodeScatter achieves these features by employing two mechanisms: 1) Distortion-aware Successive Decoding (DSD), which iteratively isolates individual tag signals while accounting for distortions and 2) Distortion-aware Orthogonal Codes (DOC), which ensures orthogonality even in the presence of distortions. To our knowledge, CodeScatter is the first distortion-aware design for collision resolution in backscatter networks. We implement a prototype using COTs RF switch and USRPN210. Experimental results demonstrate that CodeScatter outperforms previous proposals in terms of BER and throughput. Dong-Hoon Kim 0002, Jae-Han Lim |
ICNP | 1 |
| 2023 | Wi-Fi frame detection via spiking neural networks with memristive synapses
Dong-Hoon Kim 0002, Jae-Han Lim |
Comput. Commun. | 2 |