Luis Sequeira

2021

1. IEEE

   Building a Lane Merge Coordination for Connected Vehicles Using Deep Reinforcement Learning

   Omar Nassef, Luis Sequeira, Elias Salam, and Toktam Mahmoodi

   IEEE Internet of Things Journal, Feb 2021

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   This article presents a data-driven framework for trajectory recommendation in automated and cooperative driving. The considered cooperative driving maneuver is lane-merge coordination, and while the trajectory recommendation can only be communicated to the connected vehicles, in computation of those recommendations both connected and unconnected vehicles are taken into account. The data-driven framework is implemented centrally, comprising of two main components of a traffic orchestrator TO and data fusion DF. The TO predicts the safest trajectories for connected vehicles involved in the lane-merge maneuver. The DF incorporates camera detected vehicles in order to map all vehicles, including connected and unconnected. To this end, the recommendations are built using various state-of-the-art machine learning ML techniques, including deep reinforcement learning and dueling deep Q-network. Our evaluations are conducted using the real-system deployed in the test track, with a mix of connected and unconnected vehicles. The results demonstrate the precision of predicted trajectories, and the percentage of successful lane merge achieved deploying different ML techniques.

   @article{ieee9171338,
     author = {Nassef, Omar and Sequeira, Luis and Salam, Elias and Mahmoodi, Toktam},
     doi = {10.1109/JIOT.2020.3017931},
     issn = {2372-2541},
     journal = {{IEEE Internet of Things Journal}},
     keywords = {Merging; Trajectory; Mathematical model; Roads; Connected vehicles; Acceleration; Internet of Things},
     month = feb,
     number = {4},
     pages = {2540--2557},
     publisher = {IEEE},
     title = {Building a Lane Merge Coordination for Connected Vehicles Using Deep Reinforcement Learning},
     url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=9171338; https://ieeexplore.ieee.org/document/9171338/},
     volume = {8},
     x-fetchedfrom = {IEEEXplore},
     year = {2021},
   }

2018

1. IEEE

   The Making of 5G: Building an End-to-End 5G-Enabled System

   Idelkys Quintana-Ramirez, Anthony Tsiopoulos, Maria A. Lema, Fragkiskos Sardis, Luis Sequeira, James Arias, Aravindh Raman, Ali Azam, and Mischa Dohler

   IEEE Communications Standards Magazine, Dec 2018

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   This article documents one of the world’s first standards-compliant pre-commercial end-to-end fifth generation 5G systems. Focus is on a standardized 5G architecture that includes the underlying 3GPP components but also the ETSI network functions virtualization management and orchestration capabilities. The truly innovative character of 5G enabling fundamental changes to architecture and implementation is discussed, as well as details of monitoring and orchestration approaches that are deemed instrumental in unlocking the full potential of 5G. Finally, it is important to us to share the lessons learned, which we hope are of use to industry and academia alike when building, deploying, and testing emerging 5G systems.

   @article{ieee8636843,
     author = {Quintana-Ramirez, Idelkys and Tsiopoulos, Anthony and Lema, Maria A. and Sardis, Fragkiskos and Sequeira, Luis and Arias, James and Raman, Aravindh and Azam, Ali and Dohler, Mischa},
     doi = {10.1109/MCOMSTD.2018.1800024},
     issn = {2471-2833},
     keywords = {5G mobile communication; Cloud computing; Software; 3GPP; Computer architecture; Monitoring},
     month = dec,
     number = {4},
     pages = {88--96},
     journal = {IEEE Communications Standards Magazine},
     publisher = {IEEE},
     title = {The Making of 5G: Building an End-to-End 5G-Enabled System},
     url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=8636843; https://ieeexplore.ieee.org/document/8636843/},
     volume = {2},
     x-fetchedfrom = {IEEEXplore},
     year = {2018},
   }

2017

1. IEEE

   Building an SDN Enterprise WLAN Based on Virtual APs

   Luis Sequeira, Juan Luis Cruz, José Ruiz-Mas, Jose Saldana, Julián Fernandez-Navajas, and José Almodovar

   IEEE Communications Letters, Feb 2017

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   In this letter, the development and testing of an open enterprise Wi-Fi solution based on virtual access points APs, managed by a central WLAN controller is presented. It allows seamless handovers between APs in different channels, maintaining the QoS of real-time services. The potential scalability issues associated to the beacon generation and channel assignment have been addressed. A battery of tests has been run in a real environment, and the results are reported in terms of packet loss and delay.

   @article{ieee7727996,
     author = {Sequeira, Luis and de la Cruz, Juan Luis and Ruiz-Mas, Jos{\'e} and Saldana, Jose and Fernandez-Navajas, Juli{\'a}n and Almodovar, Jos{\'e}},
     doi = {10.1109/LCOMM.2016.2623602},
     issn = {2373-7891},
     journal = {{IEEE Communications Letters}},
     keywords = {IEEE 802.11 Standard; Real-time systems; Wireless LAN; Scalability; Wireless networks; Handover},
     month = feb,
     number = {2},
     pages = {374--377},
     publisher = {IEEE},
     title = {Building an SDN Enterprise WLAN Based on Virtual APs},
     url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=7727996; https://ieeexplore.ieee.org/document/7727996/},
     volume = {21},
     x-fetchedfrom = {IEEEXplore},
     year = {2017},
   }