Millimetre-Wave Wearable Communications
Principal Supervisor: Dr Simon Cotton
Second Supervisor: Prof. William Scanlon
+ Project Description
Up until now, wireless communications for many commercial wearable devices have largely operated using existing technologies such as Bluetooth LE, WiFi and cellular. With the advent of millimetre-wave (mm-wave) communications, for example operating at 60 GHz, wearable devices will be able to avail of the same high bandwidth communications available to other wireless users. This will be particularly important in emerging applications such as virtual and augmented reality.
Because wearable devices will be mounted either on or close to the body, they will be expected to be compact, lightweight and low power. This presents a huge challenge for wearable systems designers, as users will still expect the same connectivity and data rates as experienced with other form factors designed for personal use e.g. mobile handsets.
In order to optimise hardware and transmission schemes to be used in mm-wave wearable systems it is necessary to develop an understanding of the associated communications channel. This is particularly challenging for mm-wave wearable systems as physiological and biomechanical movements of the human body can have a significant effect on the wireless signal.
This research study will aim to make significant contributions to our understanding of mm-wave wearable devices operating in small-cell infrastructures. Based on this, it will also develop a set of novel channel models which can be used by wearable systems designers to engineer a new generation of mm-wave systems.
• To investigate emerging technologies for mm-wave wearable communications.
• To examine the impact of physiological and biomechanical movements of the human body on signal characteristics in mm-wave wearable channels.
• Use a measurement test bed to analyse the signal characteristics of mm-wave wearables operating in small cell networks.
• To develop novel mm-wave wearable channel models using the experimental data obtained.
• To disseminate research findings at top national and international conferences, and publish in leading IEEE journals.
+ 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 Simon Cotton|
Queens University of Belfast
+44 (0)28 9097