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Joint Localisation, Sensing and Computation for Future Communication Systems

PGR-P-1855

Key facts

Type of research degree
PhD
Application deadline
Ongoing deadline
Project start date
Tuesday 1 October 2024
Country eligibility
International (open to all nationalities, including the UK)
Funding
Competition funded
Source of funding
Doctoral training partnership
Supervisors
Dr Arash Bozorgchenani
Additional supervisors
Dr Evangelos Pournaras
Schools
School of Computing
<h2 class="heading hide-accessible">Summary</h2>

In addition to enabling ubiquitous communication, future communication (6G) systems are becoming genuinely intelligent wireless systems that enable high-resolution sensing and location services with exceptional accuracy. The integration of Cyber-Physical Systems (CPS), cloud and edge computing, embedded networking, and real-time analysis will enable the development of sensing solutions with extremely precise localization and resolution down to the centimeter level.<br /> <br /> Beyond the improvement of localization and sensing methods, creating new prospects for communication devices and applications, effective processing of data emerges as a highly compelling research frontier. Edge-Cloud computing and Machine Learning (ML) stand out as two primary drivers of this technological evolution.<br /> <br /> Impact: This PhD project, focused on Localization, Sensing, and Computation (LSC), has a profound impact on diverse applications, particularly within the 6G Internet of Things (IoT) landscape. The transformative impact of this research extends to smart cities, industries, and mobility solutions, benefiting from advancements in areas such as traffic monitoring, autonomous vehicles, drones, gesture recognition, holographic communication, and robotics. This research project aims to contribute to the evolution of technologies with applications beyond industry optimization, fostering innovation and digitalization across diverse sectors. The anticipated outcomes promise to redefine the capabilities of cutting-edge technologies, contributing to a more interconnected and intelligent future.<br /> <br /> Objectives:<br /> 1. Novel design of the joint LSC algorithms.<br /> 2. Improving the scalability and reliability of the joint localization and sensing <br /> approach, directly contributing to the enhancement of communication <br /> capabilities.<br /> 3. Implementing AI-driven long-term patterns and trend analysis to enhance the <br /> effectiveness of localization and sensing systems.<br /> 4. Optimizing latency and reducing energy consumption by intelligent <br /> 5. Edge/Cloud resource allocation for processing the localization and sensing <br /> data.<br /> 6. Distributed intelligent sensing technique development.<br />

<h2 class="heading hide-accessible">Full description</h2>

<p class="MsoNoSpacing">The project seeks to focus on two pivotal aspects:</p> <ol> <li>refining and amplifying localization and sensing solutions</li> <li>utilizing Edge-Cloud resources for efficient processing of data derived from these advanced localization and sensing applications.</li> </ol> <p>To advance the seamless integration in future communication systems, this PhD project aims to address the following challenges:</p> <ul> <li>Developing intelligent and distributed methods for the design of joint LSC algorithms.</li> <li>Apply AI-based algorithms to address localization and sensing challenges in real-world wireless networks. The project leverages recent advances in deep learning and computing architectures to make sophisticated algorithms feasible for enhancing location-based and sensing applications.</li> <li>Storing and analyzing the historical location data and the data collected from distributed sensors in the Edge/Cloud aiding in long-term patterns and trend analysis using AI methods.</li> </ul> <p>Developing distributed computing solutions by leveraging the Edge/Cloud computational resources for processing the location and sensing-related data to:</p> <ol> <li>enhance the real-time localization accuracy and quick process of sensor data,</li> <li>ensure the scalability for localization and sensing services.</li> </ol> <p>Team and supervision: The project benefits from the rich experience of the lead and co-supervisors in 5G/6G Localization and Sensing, Edge-Cloud Computing, AI, and Optimization. Renowned as experts in networking and distributed systems, both supervisors have extensive involvement in various related topics.</p> <p>Skills needed:</p> <ul> <li>Solid software programming skills: Python/Matlab, C</li> <li>UNIX and scripting skills</li> <li>Strong knowledge of optimization and math</li> <li>Knowledge of the foundations of distributed systems, AI, Localization and Sensing</li> </ul>

<h2 class="heading">How to apply</h2>

<p style="margin-bottom:11px">Formal applications for research degree study should be made online through the&nbsp;<a href="https://www.leeds.ac.uk/research-applying/doc/applying-research-degrees">University&#39;s website</a>. Please state clearly in the Planned Course of Study section that you are applying for <strong><em>PHD Computing FT,&nbsp;</em></strong>in the research information section&nbsp;that the research degree you wish to be considered for is&nbsp;<em><strong>Joint Localization, Sensing and Computation for Future Communication Systems</strong></em> as well as <a href="https://eps.leeds.ac.uk/computing/staff/13683/dr-arash-bozorgchenani">Dr Arash Bozorgchenani</a> as your proposed supervisor and in the finance section, please state clearly&nbsp;<em><strong>the funding that you are applying for, if you are self-funding or externally sponsored</strong></em>.</p> <p>If English is not your first language, you must provide evidence that you meet the University&#39;s minimum English language requirements (below).</p> <p><em>As an international research-intensive university, we welcome students from all walks of life and from across the world. We foster an inclusive environment where all can flourish and prosper, and we are proud of our strong commitment to student education. Across all Faculties we are dedicated to diversifying our community and we welcome the unique contributions that individuals can bring, and particularly encourage applications from, but not limited to Black, Asian, people who belong to a minority ethnic community, people who identify as LGBT+ and people with disabilities. Applicants will always be selected based on merit and ability.</em></p> <p>Applications will be considered after the closing date. &nbsp;Potential applicants are strongly encouraged to contact the supervisors for an informal discussion before making a formal application. &nbsp;We also advise that you apply at the earliest opportunity as the application and selection process may close early, should we receive a sufficient number of applications or that a suitable candidate is appointed.</p> <p>Please note that you must provide the following documents in support of your application by the closing date of 3 April 2024 for Leeds Opportunity Research Scholarship or&nbsp;8 April 2024 for Leeds Doctoral Scholarship:</p> <ul> <li>Full Transcripts of all degree study or if in final year of study, full transcripts to date</li> <li>Personal Statement outlining your interest in the project</li> <li>CV</li> </ul>

<h2 class="heading heading--sm">Entry requirements</h2>

Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) and a Masters' degree in an appropriate discipline. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

<h2 class="heading heading--sm">English language requirements</h2>

The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.5 overall with at least 6.5 in writing and at least 6.0 in reading, listening and speaking or equivalent. The test must be dated within two years of the start date of the course in order to be valid. Some schools and faculties have a higher requirement.

<h2 class="heading">Funding on offer</h2>

<p><strong>Self-Funded or externally sponsored students are welcome to apply.</strong></p> <p><strong>UK</strong>&nbsp;&ndash;&nbsp;The&nbsp;<a href="https://phd.leeds.ac.uk/funding/209-leeds-doctoral-scholarships-2022">Leeds Doctoral Scholarships</a>&nbsp;and&nbsp;<a href="https://phd.leeds.ac.uk/funding/234-leeds-opportunity-research-scholarship-2022">Leeds Opportunity Research Scholarship</a>&nbsp;(open from October 2023)&nbsp;are available to UK applicants.&nbsp;<a href="https://phd.leeds.ac.uk/funding/60-alumni-bursary">Alumni Bursary</a>&nbsp;is available to graduates of the University of Leeds.</p> <p><strong>Non-UK</strong>&nbsp;&ndash; The&nbsp;<a href="https://phd.leeds.ac.uk/funding/48-china-scholarship-council-university-of-leeds-scholarships-2021">China Scholarship Council - University of Leeds Scholarship</a>&nbsp;is available to nationals of China (now closed for 2024/25 entry). The&nbsp;<a href="https://phd.leeds.ac.uk/funding/73-leeds-marshall-scholarship">Leeds Marshall Scholarship</a>&nbsp;is available to support US citizens.&nbsp;<a href="https://phd.leeds.ac.uk/funding/60-alumni-bursary">Alumni Bursary</a>&nbsp;is available to graduates of the University of Leeds.</p> <p><strong>Important:</strong>&nbsp; Any costs associated with your arrival at the University of Leeds to start your PhD including flights, immigration health surcharge/medical insurance and Visa costs are not covered under this studentship.</p> <p>Please refer to the&nbsp;<a href="https://www.ukcisa.org.uk/">UKCISA</a>&nbsp;website for information regarding Fee Status for Non-UK Nationals.</p>

<h2 class="heading">Contact details</h2>

<p style="margin-bottom:11px">For further information about this project, please contact Dr Arash Bozorgchenani by email to&nbsp;<a href="mailto:A.Bozorgchenani@leeds.ac.uk">A.Bozorgchenani@leeds.ac.uk</a></p> <p>For further information about your application, please contact Doctoral College Admissions by email to <a href="mailto:phd@engineering.leeds.ac.uk">phd@engineering.leeds.ac.uk</a></p>