Massive MIMO in Machine-Type Communications
Principal Supervisor: Dr. Hien Quoc Ngo
Second Supervisor: Dr. Michalis Matthaiou
+ Project Description
Massive multiple-input multiple-output (MIMO), where a base station equipped with many antennas (a few hundred antennas) simultaneously serves many tens of users, becomes one of the key technologies for fifth generation (5G) wireless systems [1, 2]. With massive MIMO, we can obtain a huge network throughput (data rate). In addition, the transmit power in massive MIMO systems can be reduced an order of magnitude, or more. Most previous work on massive MIMO considers human-type communications. In future wireless networks, machine-type communications such as the Internet of Things, Internet of Everything, Smart X, etc. are expected to play an important role . Machine-type communications enable the wireless connectivity of thousands of machine-type devices. Since machine-type communications are very different with human-type communications, they pose significant challenges towards a unified radio solution for current cellular systems. The main requirement of machine-type communications is that many (thousands or millions) machine-type users are served at the same time with low latency and high reliability. Massive MIMO offers many degrees of freedom, and hence, can be a promising solution for machine-type communications with grant-free access controls.
In this PhD project, we will focus on the designs of massive MIMO systems in machine-type communications. The designs include signal processing, pilot assignments, and resource allocations. The students working on this project will have chances to collaborate with big research groups who are developing new technologies for fifth generation (5G) wireless systems and beyond.
 Erik G. Larsson, et al., “Massive MIMO for next generation wireless systems,” IEEE Communications Magazine, vol. 52, no. 2, pp. 186-195, Feb. 2014.
 Hien Quoc Ngo, et al., “Energy and spectral efficiency of very large multiuser MIMO systems,” IEEE Transactions on Communications, vol. 61, no. 4, pp. 1436-1449, April 2013
 C. Bockelmann, et al., “Massive machine-type communications in 5G: Physical and MAC-layer solutions.” IEEE Commun. Mag., vol. 54, no.9, pp. 59-65, Sept. 2016.
+ How to Apply
Applicants should apply electronically through the Queen’s online application portal at: https://dap.qub.ac.uk/portal/
+ Contact Details
|Supervisor Name:||Dr Hien Quoc Ngo|
Queens University of Belfast
+44 (0)28 9097 1892