Demo Data from EDBT 2026 / reviewers in the wild / expert
Jin-Bong Chang
dblp:58/3179
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
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 · 93% Network performance modeling · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless networking › WLAN
IEEE 802.11 |
0.1 | 1 | 2006 | Performance Enhancement of Multirate IEEE 802.11 WLANs with Geographically Scattered Stations · IEEE Trans. Mob. Comput. 2006 |
Wireless networking
multirate transmission |
0.1 | 1 | 2006 | Performance Enhancement of Multirate IEEE 802.11 WLANs with Geographically Scattered Stations · IEEE Trans. Mob. Comput. 2006 |
Wireless networking › WLAN › wifi performance
performance anomaly |
0.1 | 1 | 2006 | Performance Enhancement of Multirate IEEE 802.11 WLANs with Geographically Scattered Stations · IEEE Trans. Mob. Comput. 2006 |
Wireless networking
WLAN |
0.1 | 1 | 2006 | Performance Enhancement of Multirate IEEE 802.11 WLANs with Geographically Scattered Stations · IEEE Trans. Mob. Comput. 2006 |
Network performance modeling
throughput analysis |
0.0 | 1 | 2006 | Performance Enhancement of Multirate IEEE 802.11 WLANs with Geographically Scattered Stations · IEEE Trans. Mob. Comput. 2006 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.1analytical modeling · 0.1access parameter control · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Performance Enhancement of Multirate IEEE 802.11 WLANs with Geographically Scattered StationsabstractIn today's IEEE 802.11 Wireless LANs (WLANs), e.g., the popular IEEE 802.11 b, stations support multiple transmission rates, and use them adaptively depending on the underlying channel condition via link adaptation. It has been known that when some stations use low transmission rates due to bad channel conditions, the performance of the stations using high rates is heavily degraded, and this phenomenon is often referred to as performance anomaly. In this paper, we model the WLAN incorporating stations with multiple transmission rates in order to demonstrate the performance anomaly analytically. Note that all the previously proposed models of the IEEE 802.11 assume a single transmission rate. We also develop possible remedies to improve the performance. Our solution is basically to control the access parameters such as the initial backoff window, the frame size, and the maximum backoff stage, depending on the employed transmission rate. Throughout simulations, we demonstrate that our analytical model is accurate, and the proposed mechanism can indeed provide the remedies to the performance anomaly by increasing the aggregate throughput up to six times. Duck-Yong Yang, Kyunghun Jang, Jin-Bong Chang, Sunghyun Choi 0001 |
IEEE Trans. Mob. Comput. | 4 |
| 2005 | A High-Throughput MAC Strategy for Next-Generation WLANsabstractToday, IEEE 802.11 wireless LAN (WLAN) has emerged as a prevailing technology for broadband wireless networking. Along with many emerging applications and services, the demands for faster and higher-capacity WLANs have been growing fast. We propose a new medium access control (MAC) scheme for the next-generation high-speed WLANs, such as IEEE 802.11n. The proposed MAC, called multiuser polling controlled channel access (MCCA), is composed of two sub-schemes. The first is multiuser polling, in order to achieve higher network utilization. The second is a frame aggregation scheme, which performs aggregations at both MAC and physical (PHY) layers, and can achieve an even higher throughput gain as a result. From simulations, we confirm that the MCCA scheme enhances the aggregate throughput of non-quality-of-service (non-QoS) traffic by an order of magnitude from 17.4 Mbps to 129.9 Mbps, while the aggregate throughput and QoS requirements continue to be satisfied. Seongkwan Kim, Sunghyun Choi 0001, Kyunghun Jang, Jin-Bong Chang |
WOWMOM | 5 |