Justin Chan
Changxi Zheng
Xia Zhou
ABSTRACT
Directing wireless signals and customizing wireless coverage is of great importance in residential, commercial, and industrial environments. It can improve the wireless reception quality, reduce the energy consumption, and achieve better security and privacy. To this end, we propose \name, a new computational approach to control wireless coverage by mounting signal reflectors in carefully optimized shapes on wireless routers. Leveraging 3D reconstruction, fast-wave simulations in acoustics, computational optimization, and 3D fabrication, our method is low-cost, adapts to different wireless routers and physical environments, and has a far-reaching impact by interweaving computational techniques to solve key problems in wireless communication.
- http://jasmcole.com/2014/08/25/helmhurts/.Google Scholar
- http://www.tmcnet.com/usubmit/2008/01/24/3227843.htm.Google Scholar
- http://www.radiolabs.com/products/wireless/directional-wireless-antenna.php.Google Scholar
- Dramatically Improve WIFI Speed With a Soda Can! https://youtu.be/yz4aPaebe-k.Google Scholar
- Andersen, J. B., Rappaport, T. S., and Yoshida, S. Propagation measurements and models for wireless communications channels. Communications Magazine, IEEE 33, 1 (1995), 42--49. Google ScholarDigital Library
- Bahl, P., and Padmanabhan, V. N. RADAR: An in-building RF-based user location and tracking system. In Proc. of INFOCOM (2000).Google ScholarCross Ref
- Chen, J., Bautembach, D., and Izadi, S. Scalable real-time volumetric surface reconstruction. In Proc. of SIGGRAPH (2013). Google ScholarDigital Library
- Chrysikos, T., Georgopoulos, G., and Kotsopoulos, S. Site-specific validation of ITU indoor path loss model at 2.4 GHz. In Proc. of WoWMoM (2009).Google ScholarCross Ref
- German, G., et al. Wireless indoor channel modeling: statistical agreement of ray tracing simulations and channel sounding measurements. In Proc. of ICASSP (2001).Google ScholarCross Ref
- Goldsmith, A. Wireless communications. Cambridge Univ Pr. Google Scholar
- Iskander, M. F., and Yun, Z. Propagation prediction models for wireless communication systems. Microwave Theory and Techniques, IEEE Transactions on 50, 3 (2002), 662--673.Google Scholar
- Izadi, S., et al. KinectFusion: Real-time 3D Reconstruction and Interaction Using a Moving Depth Camera. In Proc. of UIST (2011). Google ScholarDigital Library
- Ji, Y., Biaz, S., Pandey, S., and Agrawal, P. ARIADNE: a dynamic indoor signal map construction and localization system. In Proc. of MobiSys (2006). Google ScholarDigital Library
- Kim, K.-H., Min, A. W., and Shin, K. G. Sybot: an adaptive and mobile spectrum survey system for wifi networks. In Proc. of MobiCom (2010). Google ScholarDigital Library
- Navda, V., et al. MobiSteer: using steerable beam directional antenna for vehicular network access. In Proc. of MobiSys (2007). Google ScholarDigital Library
- Panjwani, M. A., Abbott, A. L., and Rappaport, T. S. Interactive computation of coverage regions for wireless communication in multifloored indoor environments. Selected Areas in Communications, IEEE Journal on 14, 3 (1996), 420--430. Google ScholarDigital Library
- Schwartzburg, Y., et al. High-contrast computational caustic design. ACM Transactions on Graphics (TOG) 33, 4 (2014), 74. Google ScholarDigital Library
- Sheth, A., Seshan, S., and Wetherall, D. Geo-fencing: Confining Wi-Fi coverage to physical boundaries. In Pervasive Computing. Springer, 2009, pp. 274--290. Google ScholarDigital Library
- Tsingos, N., et al. Modeling acoustics in virtual environments using the uniform theory of diffraction. In Proc. of SIGGRAPH (2001). Google ScholarDigital Library
- Valenzuela, R. A. A ray tracing approach to predicting indoor wireless transmission. In Proc. of VTC (1993).Google ScholarCross Ref
- Zhang, Y., Yin, C., Zheng, C., and Zhou, K. Computational hydrographic printing. Proc. of SIGGRAPH (2015). Google ScholarDigital Library
Index Terms
- 3D Printing Your Wireless Coverage
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