Enabling High-Speed Microwave and Millimetre Wave Links (MiMiWaveS)

Lead Research Organisation: Queen Mary University of London
Department Name: Sch of Electronic Eng & Computer Science

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

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Bai T (2020) Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing in IEEE Journal on Selected Areas in Communications

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Bai T (2021) Dynamic Aerial Base Station Placement for Minimum-Delay Communications in IEEE Internet of Things Journal

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Bai T (2021) Fifty Years of Noise Modeling and Mitigation in Power-Line Communications in IEEE Communications Surveys & Tutorials

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Cui J (2018) Optimal User Scheduling and Power Allocation for Millimeter Wave NOMA Systems in IEEE Transactions on Wireless Communications

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Cui J (2020) Multi-Agent Reinforcement Learning-Based Resource Allocation for UAV Networks in IEEE Transactions on Wireless Communications

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Jiang N (2021) A Decoupled Learning Strategy for Massive Access Optimization in Cellular IoT Networks in IEEE Journal on Selected Areas in Communications

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Liu Y (2021) Analyzing Grant-Free Access for URLLC Service in IEEE Journal on Selected Areas in Communications

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Liu Y (2017) Non-Orthogonal Multiple Access in Large-Scale Heterogeneous Networks in IEEE Journal on Selected Areas in Communications

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Liu Y (2017) Nonorthogonal Multiple Access for 5G and Beyond in Proceedings of the IEEE

 
Description One of the 'Beyond 5G' standardization focuses is on vehicle-to-everything (V2X) networks. We developed an effective spatial framework for mmWave vehicle-to-everything (V2X) networks utilizing stochastic geometry approaches. Base stations (BSs) are modeled by a Poisson point process and vehicles are distributed according to multiple type II Matern hard-core processes. To characterize the blockage process caused by vehicles, a closed-form expression is deduced to distinguish line-of-sight (LOS) and non-LOS transmission. This expression demonstrates that LOS links are independent of horizontal communication distances. Several closed-form probability density functions of the communication distance between a reference platoon and its serving transmitter (other platoons or BSs) are derived for analyzing the generated path loss. Our work theoretically shows that the maximum density of vehicular platoon system (VPSs) exists and large antenna scales benefit the networks' coverage performance. We extended the work to beyond 5G scenario with intelligent reflective surface (IRS) enabled wireless networks.
Exploitation Route We extended this project results to THz communications and submitted a research proposal in 2020. We extended the work to beyond 5G scenario with intelligent reflective surface (IRS) enabled wireless networks and submitted a new proposal in 2021.
Sectors Digital/Communication/Information Technologies (including Software),Education

 
Description Millimeter Wave communication is one of the main technologies for the capacity enhancement of 6G cellular networks. Industries are now exploring millimeter wave band of 30-300 GHz for 6G. Our findings in this project have been disseminated in numerous top IEEE journals and IEEE Flagship conferences and attracted the interest of non-academic industries. More specifically, we have developed millimeter wave enabled non-orthogonal multiple access systems, Unmanned Aerial Vehicle (UAV) system and Heterogeneous networks for next generation wireless communications. These findings will have non-academic industrial impact on millimeter wave enabled 6G cellular networks development. We have also developed a model for millimeter wave enabled Vehicle to Everything (V2X) networks. Autonomous vehicles are to be deployed in the near future, our findings are highly useful for communication and control of autonomous vehicles. Hence, our findings would be useful and make non-academic impact in automobile industries as well. These findings also led us to submit two new proposals on Tera Hertz communications for 6G and Intelligent Reflecting Surface (IRS) enabled communications for 6G for further funding. Besides, these finding would be useful in the new area of millimeter wave enabled integrated sensing and communications (ISAC) for 6G
First Year Of Impact 2019
Sector Digital/Communication/Information Technologies (including Software),Education
Impact Types Economic

 
Description Collaborative Research on Millimeter Wave Communications 
Organisation University of Southampton
Department School of Electronics and Computer Science Southampton
Country United Kingdom 
Sector Academic/University 
PI Contribution Published a survey article on millimeter wave communications for small cell networks
Collaborator Contribution Provide suggestions and inputs to complete the survey article.
Impact J. Cui, Y. Liu, Z. Ding, P. Fan, A. Nallanathan and L. Hanzo, 'Next-Generation MmWave Small Cell Networks: Multiple Access, Caching and Resource Management', to appear in IEEE Vehicular Technology Magazine, 2020.
Start Year 2008