Room: MR 402
Abstract
6G, the next generation communication system, is expected to satisfy unprecedented requirements on system performance in terms of throughput, latency, massive connections, and so on. In the 6G era, with the hyper-connectivity among humans and everything, we are anticipating Internet of Things (IoT) applications in various fields, including smart city, smart factory, smart home, smart grid, e-health, smart farming, and smart transportation, accompanied by new services with rich experiences, such as truly immersive VR/AR/MR (XR), etc. However, considering the diversity of networking entities, different application requirements, and resource constraints in IoT environments, there is a need for sustainable and innovative hardware and software upgrades. Future IoT systems will feature a larger number of devices and multi-access environments where different types of wireless spectrum, including Sub-6 GHz, Millimetre-wave, and Terahertz technologies, should be efficiently utilized. The increase in the number of IoT devices also increases the challenges of maintaining a net zero carbon emission rate, hence creating difficulties in meeting COP26 goals. To tackle these challenges, it is crucial to develop an IoT architecture that optimizes resource utilization and can cope with the constraints of IoT devices. Numerous appealing options exist for creating and executing energy-efficient communication networks. Some examples of these technologies include multiple-input-multiple-output (MIMO), intelligent reflecting surface (IRS), and energy-harvesting communications. Furthermore, it is also crucial to determine the type and amount of data to be shared, stored, and processed among the different network entities with heterogeneous characteristics in an IoT environment. Moreover, the network environment and system requirements change with the space and time domains, which require intelligent approaches in perception, networking, and control. It is envisioned that the collaborative intelligence is the enabler for collaborative and greener IoT systems. In order to promote a more environmentally friendly and smarter society, it is important to increase research efforts on collaborative intelligence and incorporate new hardware upgrades for IoT systems to accelerate the adoption of emerging IoT technologies. This workshop aims at addressing technical challenges to enable collaborative intelligence and hardware upgrades for IoT systems. The goal is to support a more sustainable and smarter society and help IoT-based companies to keep the 1.5 C goal of COP26 alive.
Organizers
- Dr. Muhammad Ali Jamshed, University of Glasgow, UK
- Prof. Abdellah Chehri, Royal Military College of Canada, Canada
- Prof. Aryan Kaushik, Manchester Met, UK
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Dr. Ishtiaq Ahmad, Czech Technical University in Prague, Czech Republic
WS03-S1:
Time: 14:00 – 15:30
Room: MR402
Chair: TBD
Presentations:
1571233351: Effective Rate Analysis and Optimization of THz-NOMA System Using Fox's H-Function with ME and THI
Puspraj Singh Chauhan; Rahul Maurya; Vimal Bhatia; Sumit Gautam; Aryan Kaushik; Zhiguo Ding
1571233671: Optimizing NOMA-Assisted Backscatter Systems with Imperfect CSI and SIC: A DRL-Driven Approach
Wassi Haider Kabir; Hamza Irshad Bhatti; Ahraf Fatima; Syed Asad Ullah; Muhammad Sohaib J. Solaija; Syed Ali Hassan
1571233879: Joint Beamforming and RIS Phase Optimization for Secure HAPS Downlink Communications
Syed Muhammad Jameel; Syed Asad Ullah; Muhammad Sohaib J. Solaija; Aamir Mahmood; Mikael Gidlund; Syed Ali Hassan
1571234043: TinyML-Driven Edge Intelligence for Sustainable IoT in 6G Networks
Ali Hassan Sodhro; Muhammad Irfan Younas
WS03-S2:
Time: 16:00 – 17:30
Room: MR402
Chair: TBD
Presentations:
1571237007: Enhancing RIS-Assisted SWIPT with Extended Null Space and Deep Reinforcement Learning
Jiawei Qiu; Zina Mohamed; Sonia Aissa
1571238712: Deep Reinforcement Learning-Based Joint Optimization for UAV-Mounted STAR-RIS Networks with Energy Harvesting
Anas Hussin; Mahmoud M Salim; Khaled M Rabie; Ali H Muqaibel
1571241097: A Sustainable and Intelligent Unified LPWAN-as-a-Service Framework for 6G IoT Using RedCap
Hassan Malik; Syed Tariq Tariq Shah; Syed Kamran Haider; Mahmoud A. Shawky; Insaf Ullah