| Autor: |
Michael Varga, Narayan B. Mandayam, Kristin J. Dana, Wenjia Yuan, Taekyoung Kwon, Marco Gruteser, Ashwin Ashok |
| Rok vydání: |
2011 |
| Předmět: |
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| Zdroj: |
SECON |
| DOI: |
10.1109/sahcn.2011.5984946 |
| Popis: |
We propose a rate adaptation scheme for visual MIMO camera-based communications, wherein parallel data transmissions from light emitting arrays are received by multiple receive elements of a CCD/CMOS camera image sensor. Unlike RF MIMO, multipath fading is negligible in the visual MIMO channel. Instead, the channel is largely dependent on receiver perspective (distance and angle) and visibility issues (partial line-of-sight availability and occlusions). This allows for slower adaptation but requires the adaptation algorithm to choose among a more complex set of modes. In this paper, we define a set of operating modes for visual MIMO transmitters and propose a rate adaptation scheme to switch between these modes. Our Visual MIMO Rate Adaptation (VMRA) is a packet based rate adaptation protocol that bases its rate selection decisions on the packet error rate feedback. Using trace-based simulation results for a vehicle-to-vehicle communication scenario, we illustrate how our VMRA algorithms can adapt over distance as well as visibility variations in an optical link and achieve a higher average throughput. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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