Our #paper entitled “Coverage analysis of reconfigurable intelligent surface assisted THz wireless systems”, has been accepted for publication in IEEE Open Journal of Vehicular Technology. In this paper, we analyse the connectivity performance of reconfigurable intelligent surface (RIS) assisted terahertz (THz) wireless systems. A system model that accommodates the particularities of THz band links as well as the characteristics of the RIS is presented, accompanied by a novel general end-to-end (e2e) channel attenuation formula. Based on this formula, we derive a closed-form expression that returns the optimal phase shifting of each reflection unit (RU) of the RIS. Moreover, we provide a tractable e2e channel coefficient approximation that is suitable for analyzing the RIS-assisted THz wireless system performance. Building upon the aforementioned approximation as well as the assumption that the user equipments are located in random positions within a circular cluster, we present the theoretical framework that quantifies the coverage performance of the system under investigation. In more detail, we deliver a novel closed-form expression for the coverage probability that reveals that there exists a minimum transmission power that guarantees 100% coverage probability. Both the derived channel model as well as the coverage probability are validated through extensive simulations and reveal the importance of taking into account both the THz channel particularities and the RIS characteristics, when assessing the system’s performance and designing RIS-assisted THz wireless systems.
Some good news! Our #paper, entitled “How Much do Hardware Imperfections Affect the Performance of Reconfigurable Intelligent Surface-Assisted Systems?” is (again) included in the list of the most popular papers of the previous month (December) of the #journal #IEEE #Open #Journal of the #Communications #Society. Note that this paper was on the same lists in August, September, October, and November 2020.
Moreover, our #paper entitled “Machine Learning in Nan-scale Biomedical Engineering” is also included in the list of the most popular #papers of the previous month (December) of the #journal#IEEE#Transactions on #Molecular, #Biological and #Multi–#scale#Communications Note that this paper is still in an “early access” status. Keywords: #machinelearning, #Biomedical#Engineering, #Molecular #communications, #Nano-scale #Communications, #artificial #neural #networks, k-nearest neighbour, etc.
Finally, our paper entitled “Optimal Reconfigurable Intelligent Surface Placement in millimeter-wave Communications” has been accepted for presentation at the 15th European Conference on Antennas and Propagation (EuCAP) 2021.
Keywords: #6G, #Reconfigurable #Intelligent #Surfaces, #Wireless #Communications, #Wireless #Networks, #MillimeterWave #Systems.
Given this opportunity, I would like to thank all my co-authors for their contributions and help!
Next, the papers links in #ieeexplore and #researchgate are reported.
|Paper Title||IEEEXplore link||ResearchGate link|
|How Much do Hardware Imperfections Affect the Performance of Reconfigurable Intelligent Surface-Assisted Systems?||IEEEXplore||ResearchGate|
|Machine Learning in Nan-scale Biomedical Engineering||IEEEXplore||ResearchGate|
|Optimal Reconfigurable Intelligent Surface Placement in Millimeter-Wave Communications||To be available at IEEEXplore after the EuCAP 2021 presentation||Available after request in ResearchGate|
Our paper “Optimal Reconfigurable Intelligent Surface Placement in Millimeter-Wave Communications” has been accepted for a presentation in 15th European Conference on Antennas and Propagation (EuCAP).
Great news! Our #paper, entitled “How Much do Hardware Imperfections Affect the Performance of Reconfigurable Intelligent Surface-Assisted Systems?” was (again) included in the list of the most popular papers of the previous month (November) of the #journal #IEEE Open #Journal of the #Communications#Society.
Note that this paper was on the same lists in August, September, and October 2020.