Enhancing massive MIMO performance in 5G new radio

Lead Research Organisation: University of Bristol
Department Name: Electrical and Electronic Engineering


Demand for higher data rates has been the driving force behind many current mobile standards. As well as higher peak speeds, requirements for 5G include providing high data rates in very congested environments, and the option to simultaneously meet other QoS requirements including low latency and service provision for highly mobile users. This work will focus on 5G in the sub-6GHz band; for which Massive MIMO (Ma-MIMO) is a key enabling technology. It uses many antennas at the base station to achieve high spectral efficiency by separating users spatially, allowing multiple users to be served using the same time and frequency resource. However, challenges include base station cost, significantly impaired mobility performance, and serious degradation of downlink performance for all users in the presence of inaccurate channel state information (CSI) from any single user.
This project will investigate techniques to improve channel estimation accuracy, mitigate the impacts of poor CSI, and reduce the mobility performance penalty. This project will examine the novel Orthogonal Time Frequency Space (OTFS) modulation scheme, first in simulation, and later on the University of Bristol's Ma-MIMO testbed. OTFS represents the channel and performs precoding in the Delay-Doppler domain rather than in time and frequency, the resulting channel is much less time variant, especially in high mobility, which should give significant performance improvement. This will be pursued alongside the design of improved RF hardware, including the ability to switch polarisations electronically in real time.


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R51245X/1 01/10/2017 30/09/2021
1940601 Studentship EP/R51245X/1 18/09/2017 30/11/2022 Henry Bromell