Name
Abstract | ||
|---|---|---|
We study the impact of signal reflections in enclosed wireless networks of wearable devices operating at mmWave frequencies. Given the radical blockage by obstacles and people (including the user's own body) at these frequencies, surface reflections are expected to be very important contributors to the collection of an adequate amount of desired signal power. At the same time, they are also expected to substantially increase the level of interference reaching any given receiver. Our objective is to understand the interplay of these two effects in relevant enclosed settings with high user densities (e.g., commuter trains, subways, airplanes, airports, or offices) in order to help assess the viability of mmWave operation in such settings. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/CAMSAP.2015.7383771 | 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) |
Keywords | Field | DocType |
enclosed mmWave wearable networks,signal reflections,enclosed wireless networks,wearable devices,surface reflections | Wireless network,Telecommunications,Wearable computer,Computer science,Signal-to-noise ratio,Interference (wave propagation),Train,Wearable technology,Electrical engineering | Conference |
Citations | PageRank | References |
3 | 0.47 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Geordie George | 1 | 60 | 5.06 |
| Angel Lozano | 2 | 2276 | 94.86 |