Siddarth Marwaha
M.Sc.
Institut für Nachrichtentechnik
Technische Universität Braunschweig
Schleinitzstraße 23A (Raum 117)
38106 Braunschweig
s.marwaha(at)tu-braunschweig.de
Tel.: +49 (0) 531 391 - 2449
Fax: +49 (0) 531 391 - 5192
Conference Papers
S. Marwaha et al., "Energy Efficient Operation of Adaptive Massive MIMO 5G HetNets," in IEEE Transactions on Wireless Communications, doi: 10.1109/TWC.2023.3336059.
Zeit(raum) | Lebenslauf |
---|---|
geboren 1992 | in Amritsar, Indien |
seit 04/21 | Wissenschaftlicher Mitarbeiter am Institut für Nachrichtentechnik |
10/17 - 02/21 | Masterstudium der Elektrotechnik an der Universität Rostock |
01/11 - 01/15 | Bachelorstudium der Elektrotechnik an der New York University, New York |
2010 | Indian School Certificate (ISC) Prüfung an der Wynberg-Allen Schule, Mussoorie, Indien |
Sonstige Tätigkeiten: | |
01/21 - 03/21 | Wissenschaftliche Hilfskraft am Fraunhofer in der Maritime Graphics Abteilung, IGD Rostock |
05/19 - 08/19 | Parktikum am Stadtwerke Rostock Netzgesellschaft MbH, Rostock |
02/18 - 12/18 | Wissenschaftliche Hilfskraft am Institut für Angewandte Mikroelektronik und Datentechnik, Universität Rostock |
10/18 - 12/18 | Wissenschaftliche Hilfskraft am Institut für Nachrichtentechnik, Universität Rostock |
Optimierungs- und Spieltheorie in der Nachrichtentechnik
Art der studentischen Arbeit: Studentische Hilfskraft (HiWi)
Betreuer: Siddarth Marwaha
Abteilung: Informationstheorie und Kommunikationssysteme
Today, approximately 80% of mobile data is generated or consumed indoors, where traditional mobile communications, such as 5G, struggle to provide reliable network coverage and high data rates per user due to building material attenuation. As a result, indoor wireless technologies like WLAN (IEEE Std 802.11) and wired technologies such as Ethernet and power line communication (PLC) are commonly used. However, these technologies often operate independently of network operators, leading to inefficient control and suboptimal performance despite enabling cost-effective internet coverage. To address these limitations, new optical transmission methods like Fibre-to-the-Room (FttR) and optical wireless communication (LiFi) are being developed, aiming to meet the demands of advanced applications concerning data rate, energy efficiency, latency, and user friendliness. Therefore, this task aims at generating channel realizations (gains) for a combined WiFi and LiFi scenario. Specifically, channel modelling must consider
1. IEEE 802.11 TGn and ax standards channel models for WiFi,
2. IEEE 802.11 bb standard channel models for LiFi,
3. both line of sight (LoS) and non-LoS case must be modeled,
4. for LiFi the diffused reflections should also be modeled.