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Kai Habel

dblp:160/4927 · DBLP profile ↗
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5ranked-venue papers
0as first author
4since 2021 · last 2026
—ORCID · none

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

Computer networks · 4 · 3 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
2 papers
Physical-layer communications · 48% Cellular and mobile networks · 42% Wireless networking · 6%

Topics — the 9 heaviest of 11, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › optical wireless communication › visible light communication
lifi
0.712023
Hybrid-Fidelity: Utilizing IEEE 802.11 MIMO for Practical Aggregation of LiFi and WiFi · IEEE Trans. Mob. Comput. 2023
Physical-layer communications
MIMO
0.712023
Hybrid-Fidelity: Utilizing IEEE 802.11 MIMO for Practical Aggregation of LiFi and WiFi · IEEE Trans. Mob. Comput. 2023
Cellular and mobile networks
5g
0.312018
A Converged Evolved Ethernet Fronthaul for the 5G Era · IEEE J. Sel. Areas Commun. 2018
Cellular and mobile networks › radio access networks › cloud radio access network
fronthaul
0.312018
A Converged Evolved Ethernet Fronthaul for the 5G Era · IEEE J. Sel. Areas Commun. 2018
Cellular and mobile networks › radio access networks › RAN architecture
functional split
0.312018
A Converged Evolved Ethernet Fronthaul for the 5G Era · IEEE J. Sel. Areas Commun. 2018
Cellular and mobile networks
radio access networks
0.312018
A Converged Evolved Ethernet Fronthaul for the 5G Era · IEEE J. Sel. Areas Commun. 2018
Wireless networking › WLAN
IEEE 802.11
0.212023
Hybrid-Fidelity: Utilizing IEEE 802.11 MIMO for Practical Aggregation of LiFi and WiFi · IEEE Trans. Mob. Comput. 2023
Physical-layer communications › MIMO
MIMO signal processing
0.212023
Hybrid-Fidelity: Utilizing IEEE 802.11 MIMO for Practical Aggregation of LiFi and WiFi · IEEE Trans. Mob. Comput. 2023
Network measurement and analytics › network timing analysis
latency variation
0.112018
A Converged Evolved Ethernet Fronthaul for the 5G Era · IEEE J. Sel. Areas Commun. 2018

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

MIMO signal processing · 0.7hardware offloading · 0.3gap-filling aggregation · 0.3
YearPublicationVenuePosition
2026 Beyond Mesh: MAC-PHY Split to Improve Latency Variations of Wi-Fi in Fiber-to-the-Room Networks
abstract
We propose fiber-to-the-room deployments as a new centralized infrastructure to distribute Wi-Fi radio nodes and, introduce centralized radio resource control to increase data rates and reduce latency. We define and implement a functional split between lower MAC and upper PHY in the 802.11 protocol stack, where the main fiber-to-the-room unit implements the medium access control protocol for all radio nodes. An optical in-building transport network interconnects subordinate fiber-to-the-room units, which are located in different rooms, implementing only the physical layer and the radio front-end. With a centralized MAC, all stations can be assigned mutually orthogonal time slots, with separate down-link and up-link transmissions. Our evaluation framework starts from detailed building models, using realistic channel models to conduct system-level simulation studies. With a centralized round-robin scheduling approach, our results show a decrease in worst case latencies of up to 84 %, yielding a more deterministic traffic management.
Anselm Ebmeyer, Sepideh Mohammadi Kouhini, Ziwen Zhou, Sreelal Maravanchery Mana, Kai Habel, Christian Blümm, Ronald Freund, Volker Jungnickel
ICC5
2024 Real-Time Experiments Towards an Automotive OFDMA Communication Bus
abstract
Today's automotive communication systems use baseband pulse modulation and time-division multiple access. Future in-vehicle networks will need to serve a growing number of devices in a multipoint-to-multipoint topology. Therefore, we present a new automotive bus system which allows enhanced channel adaptation and fine-granular multi-user access based on orthogonal frequency division multiple access (OFDMA). We highlight the advantages of OFDMA in automotive applications and sketch the concept. In this paper, we deliver a proof-of-concept for the OFDMA-based automotive communication bus by using an experimental real-time FPGA prototype.
Matthias Koepp, Kai Habel, Volker Jungnickel
VTC Spring2
2023 Hybrid-Fidelity: Utilizing IEEE 802.11 MIMO for Practical Aggregation of LiFi and WiFi
abstract
We presentHy-Fi, a system that aggregates light fidelity (LiFi) and radio frequency (RF)-based communication on the 802.11 (WiFi) physical layer by utilizing the MIMO capabilities in IEEE 802.11-compliant commodity WiFi chips.Hy-Fiis based on two key ideas. First, we use inexpensive commodity hardware to facilitate direct transmission of WiFi waveforms over the optical wireless channel, as this is proposed in the IEEE P802.11bb task group. Second, we use the MIMO signal processing from WiFi to aggregate LiFi and radio signals directly at the physical layer.Hy-Fiwas implemented as a prototype and evaluated in a small testbed. Experimental results reveal that our approach offers excellent robustness against signal fading, blockage and external interference in both, the optical and radio channels making it suitable for applications with very strict requirements to the packet delay and loss ratio. Moreover, the two channels, LiFi and RF, can be aggregated to double the link capacity in the best case. Finally, we demonstrate howHy-Ficould be used as wireless access technology in next-generation indoor enterprise networks providing both high capacity and seamless mobility.
Anatolij Zubow, Piotr Gawlowicz, Carolin Brunn, Kai Lennert Bober, Volker Jungnickel, Kai Habel, Falko Dressler
IEEE Trans. Mob. Comput.6
2021 Hy-Fi: Aggregation of LiFi and WiFi using MIMO in IEEE 802.11
abstract
We present Hy-Fi, a system which combines light fidelity (LiFi) and radio based on the WiFi physical layer waveform by using the MIMO features available in IEEE 802.11-compliant commodity chip sets. Hy-Fi is based on two key ideas. First, we use inexpensive COTS hardware to facilitate direct transmission of WiFi waveforms over the optical wireless channel, as this is proposed in the IEEE P802.11bb task group. Second, we use the MIMO signal processing to aggregate LiFi and radio signals at the physical layer. The system was implemented as a prototype and evaluated in a small testbed. Experimental results show that our approach offers robustness against signal blockage (Shadowing) and external interference in both, the optical and RF channels. Moreover, the two media (LiFi and WiFi) can be aggregated to double the capacity in the best case.
Anatolij Zubow, Piotr Gawlowicz, Kai Lennert Bober, Volker Jungnickel, Kai Habel, Falko Dressler
WOWMOM5
2018 A Converged Evolved Ethernet Fronthaul for the 5G Era
abstract
We assess the performance of two distinct functional splits based on latency/latency variation and mapping efficiency, both individually and in unison. By considering hardware-offloading possibilities for a low-layer split (especially a pre-resource mapper split) using an option-6 software-based local thermal equilibrium split as an example, we show how data rate, Ethernet frame size and, in general, traffic generation characteristics will be very important aspects in the design of the future Ethernet mapping function. Then, an integrated Ethernet fronthaul with legacy and new/evolved split functionality operating at 100 Gb/s link rate is presented with the state-of-the art sub-100-ns latency variation for a timing-protocol flow. This is achieved through the application of a gap-filling aggregator, used for the first time in such a mobile fronthaul application.
Philippos Assimakopoulos, Jim Zou, Kai Habel, Jörg-Peter Elbers, Volker Jungnickel, Nathan J. Gomes
IEEE J. Sel. Areas Commun.3