In the IoT environment, devices could be used as distributed transmit and/or receive entities allowing massive distributed multiple-input multiple-output (MIMO) systems to be implemented. Potentially, a large number of built-in sensors in the home, used to monitor the environment or actuate devices such as bulbs or locks, could be exploited as transmit/receive entities to support data transmission by smartphones or labtops.
Distributed reception for wireless communication systems is used to provide reliable high date rate communication between a transmitter and a receive fusion center via the help of geographically separated receive nodes. I have been working on designing efficient distributed reception techniques using channel coding [1-2] and signal processing techniques [3-4].
 J. Choi, D. J. Love, and P. Bidigare, "Coded Distributed Diversity: A Novel Distributed Reception Technique for Wireless Communication Systems," IEEE Transactions on Signal Processing, vol. 63, no. 5, pp. 1310-1321, Mar. 2015.
 D. J. Love, J. Choi, and P. Bidigare, "Receive Spatial Coding for Distributed Diversity," in Proc. of IEEE Asilomar Conference on Signals, Systems, and Computers, Nov. 2013.
 J. Choi, D. J. Love, D. R. Brown III, and M. Boutin, "Quantized Distributed Reception for MIMO Wireless Systems Using Spatial Multiplexing," IEEE Transactions on Signal Processing, vol. 63, no. 13, pp. 3537-3548, Jul. 2015.
 J. Choi, D. J. Love, and D. R. Brown III, "Channel Estimation Techniques for Quantized Distributed Reception in MIMO Systems," in Proc. of IEEE Asilomar Conference on Signals, Systems, and Computers, Nov. 2014.