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Collaborative Intelligent Computing Services in Integrated space-air-terrestrial Networks

PGR-P-1914

Key facts

Type of research degree
PhD
Application deadline
Tuesday 30 April 2024
Project start date
Tuesday 1 October 2024
Country eligibility
UK only
Funding
Funded
Source of funding
University of Leeds
Supervisors
Dr Arash Bozorgchenani
Additional supervisors
Karim Djemame
Schools
School of Computing
Research groups/institutes
Distributed Systems and Services
<h2 class="heading hide-accessible">Summary</h2>

With the advent of 6G, the proliferation of connected devices continues its exponential growth, spanning diverse applications such as IoT devices, video streaming platforms, surveillance cameras, and AR/VR, among others. Each application brings unique service requirements, necessitating a highly adaptable and efficient communication infrastructure. However, the computational capabilities of traditional servers housed in Roadside Units (RSUs) and Mobile Edge Computing (MEC) centers face significant challenges in meeting the high demands of user requests. Non-Terrestrial Networks (NTN), comprising innovative solutions like Unmanned Aerial Vehicles (UAVs), High Altitude Platforms (HAPs), and satellite systems, offer additional capacity and communication avenues. <br /> <br /> The candidate in this role is expected to delve into the multifaceted landscape of intelligent and distributed computing within the realm of 5G/6G and aim to unlock new possibilities for enhancing connectivity, scalability, and reliability in future communication networks [1,2,3,4]. The problems to study during this role include but are not limited to, UAV as an access network, computation offloading and NFV placement in integrated air-ground networks. The candidate will formulate the problems and exploit optimization and ML-based techniques to solve the problems to improve the Key Performance Indicators in future communication networks.

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

<p style="text-align:justify; margin-bottom:11px">The role applies <strong>only to home students (UK)</strong>. Interested applicants with the following skills are encouraged to apply for this role:</p> <ul> <li>Solid software programming skills: Python, Matlab, C,</li> <li>Strong Math (optimization, algebra, statistics) background,</li> <li>Knowledge of AI Algorithms (Reinforcement Learning, Deep Learning, Federated Learning),</li> <li>Knowledge of Distributed Systems, and Computer Networks</li> </ul> <p>Useful References:</p> <ol> <li>S. S. Shinde, A. Bozorgchenani, D. Tarchi and Q. Ni, &quot;On the Design of Federated Learning in Latency and Energy Constrained Computation Offloading Operations in Vehicular Edge Computing Systems,&quot; in&nbsp;IEEE Transactions on Vehicular Technology, vol. 71, no. 2, pp. 2041-2057, Feb. 2022, doi: 10.1109/TVT.2021.3135332.&nbsp;</li> <li>Q. Ren, O. Abbasi, G. K. Kurt, H. Yanikomeroglu, and J. Chen, &ldquo;Caching and computation offloading in high altitude platform station (HAPS) assisted intelligent transportation systems,&rdquo;&nbsp;in&nbsp;IEEE Transactions on Wireless Communications, vol. 21, no. 11, pp. 9010-9024, Nov. 2022, doi: 10.1109/TWC.2022.3171824.</li> <li>J. Qiu, D. Grace, G. Ding, M. D. Zakaria and Q. Wu, &quot;Air-Ground Heterogeneous Networks for 5G and Beyond via Integrating High and Low Altitude Platforms,&quot; in&nbsp;IEEE Wireless Communications, vol. 26, no. 6, pp. 140-148, December 2019, doi: 10.1109/MWC.0001.1800575.</li> <li>H. Zhang, R. Liu, A. Kaushik and X. Gao, &ldquo;Satellite Edge Computing with Collaborative Computation Offloading: An Intelligent Deep Deterministic Policy Gradient Approach&rdquo;, IEEE IoT, Vol. 10, No. 10, May 2023.</li> </ol>

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

<p>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 <em><strong>PHD Computing</strong></em> and in the research information section&nbsp;that the research degree you wish to be considered for is <em><strong>Collaborative Intelligent Computing Services in Integrated space-air-terrestrial Networks</strong></em>&nbsp;as well as <a href="https://eps.leeds.ac.uk/computing/staff/13683/dr-arash-bozorgchenani">Dr. Arash Bozorgchenani</a> as your proposed supervisor.&nbsp;Please state clearly in the Finance section that the funding source you are applying for is <em><strong>School of Computing Studentship</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 class="MsoNoSpacing" style="text-align:start; margin-bottom:24px">Applications will be considered on an ongoing basis. &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 30 April 2024:</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) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. 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.

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

<p class="MsoNoSpacing" style="text-align:start; margin-bottom:24px">A highly competitive School of Computing Studentship consisting of the award of fees at the UK fee rate with a tax-free maintenance grant of &pound;19,237 for 3.5 years.</p> <p>This opportunity is open to UK applicants only. All candidates will be placed into the School of Computing Studentship Competition and selection is based on academic merit.<br /> <br /> Please refer to the&nbsp;<a href="https://www.ukcisa.org.uk/">UKCISA</a>&nbsp;website for&nbsp;information regarding Fee Status for Non-UK Nationals.</p>

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

<p>For further information about this role and your eligibility, please contact Dr. Arash Bozorgchenani by email to <a href="mailto:a.bozorgchenani@leeds.ac.uk">a.bozorgchenani@leeds.ac.uk&nbsp;</a></p> <p>For further information&nbsp;about your application or how to apply,&nbsp;please contact Doctoral College Admissions to&nbsp;<a href="mailto:phd@engineering.leeds.ac.uk">phd@engineering.leeds.ac.uk</a></p>