MegaMIMO : Scaling Wireless Capacity with User Demands

By Hariharan Rahul, Swarun Kumar, Dina Katabi. 2012

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Omid Salehi-Abari
2. Deepak Vasisht
3. Hariharan Rahul
4. Dina Katabi
5. Swarun Kumar
6. M. Pant
7. Anantha P. Chandrakasan
8. Guangxu Zhu

Citations in the corpus

• Over-the-air Function Computation in Sensor Networks (2016, neutral): “Other systems like MegaMIMO and AirSync [21, 5] exploit coherent transmissions from multiple nodes to eliminate interference.”
• Caraoke: An E-Toll Transponder Network for Smart Cities (2015, background): “Finally, a vast majority of past research on issues related to CFO focuses on how to eliminate or estimate the CFO and compensate for it [12, 49, 48, 52].”
• AirShare: Distributed coherent transmission made seamless (2015, methodology): “Finally, some prior work [15], [10] enables coherent transmission for distributed MIMO by designing algorithms to estimate and correct for phase offset between nodes.”
• Decimeter-Level Localization with a Single WiFi Access Point (2016, background): “This is within the channel coherence time of indoor environments [39] and can empirically localize users at walking speeds ( §10.3).”