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Leveraging Non-Terrestrial Platforms

Project

Project Details

Program
Computer Science
Field of Study
Computer Networks
Division
Computer, Electrical and Mathematical Sciences and Engineering
Faculty Lab Link
https://cemse.kaust.edu.sa/netlab

Project Description

As the research community has recently embarked on the 6G as an enabler for achieving higher data rates and better quality of service, an important new feature is resilient and ubiquitous network access in use-cases that are currently not provided by 5G. First, access on-demand: ships in the ocean, expeditions in harsh environments, and festivals in the field require network access only during the concerned activities. Second, emergency communications: the network resilience is seriously threatened by unexpected incidents. In these cases, fast-deployable solutions are crucial for providing emergency coverage. Finally, traffic off-loading: the network is only designed to accommodate standard traffic. However, the traffic fluctuates with time and location, and it may exceed the designed capacity. Therefore, flexible off-loading is required to provide a temporary bandwidth support. Non-Terrestrial systems provide a promising solution to these use-cases. The project aims at developing new approaches for the optimal leverage of the non-terrestrial network-on-demand.

About the Researcher

Basem Shihada
Professor, Computer Science
Computer, Electrical and Mathematical Science and Engineering Division

Affiliations

Education Profile

  • Ph.D. Computer Science, University of Waterloo, Ontario, Canada, 2007
  • M.S. Computer Science, Dalhousie University, Halifax, Nova Scotia, 2001
  • B.S. Computer Science, United Arab Emirates University, United Arab Emirates, 1997

Research Interests

Professor Shihada's current research covers a wide range of topics in wired and wireless communication networks, including wireless mesh, wireless sensor, multimedia, and optical networks. He is also interested in network security and cloud computing.

Selected Publications

  • Li Xia and B. Shihada, "Power and Delay Optimization for Multi-Hop Wireless Networks," International Journal of Control, Accepted, 2014.
  • A. Showail, K. Jamshaid, and B. Shihada, "WQM: An Aggregation-aware Queue Management Scheme for IEEE 802.11n based Networks", in Proc. ACM Sigcomm Capacity Sharing Workshop (CSWS), Accepted, 2014.
  • A. Dhaini, P-H. Ho, G. Shin, and B. Shihada, "Energy Efficiency in TDMA-based Next-Generation Passive Optical Access Networks", IEEE/ACM Transactions on Networking, Vol. PP, No. 99, 2013.
  • Li Xia and B. Shihada, "Max-Min Optimality of Service Rate Control in Closed Queueing Networks," IEEE Transactions on Automatic Control, Vol. 58, No. 4, pp. 1051-1056, 2013.
  • M. Suresh, R. Stolern, E. Zechman, and B. Shihada, "On Event Detection and Localization in Acyclic Flow Networks", IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, Vol. 43, No. 3, pp. 708-723, 2013.
  • A. Elwhishi, P-H. Ho, K. Naik, and B. Shihada, "A Novel Message Scheduling Framework for Delay Tolerant Networks Routing", IEEE Transaction on Parallel and Distributed Systems, Vol. 24, No. 5, pp. 871-880, 2013.

Desired Project Deliverables

1. Perform a short-term traffic prediction to quantify the amount of traffic that needs to be offloaded to the HAPS 2. Perform a long-term traffic prediction to identify the number and location of HAPS required 3. Calculate the total energy budget used in the offloading process 4. Optimize the system energy and traffic latency using data-driven machine learning approaches

Recommended Student Background

Computer Networks
Programming Languages and Algorithms
Machine Learning
System Modeling
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