Browsing by Subject "6G"

Now showing items 1-8 of 8

    • Block6Tel: Blockchain-based Spectrum Allocation Scheme in 60-envisioned Communications 

      Patel, F.; Patel, Farnazbanu; Bhattacharya, Pronaya; Tanwar, Sudeep; Gupta, Rajesh; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      The 6G-based spectrum bands allocation to telecom providers would guarantee ultra peak rates, high availability, and extremely low-latency for various user applications. However, the spectrum allocation still suffers from ...

    • DDPG Performance in THz Communications over Cascaded RISs: A Machine Learning Solution to the Over-Determined System 

      Shehab, Muhammad; Badawy, Ahmed; Elsayed, Mohamed; Khattab, Tamer; Trinchero, Daniele ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)
      THz technology is considered a key element in 6G wireless communication because it provides ultra-high bandwidths, considerable capacities, and significant gains. However, wireless systems operating at high frequencies are ...

    • Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA 

      Shehab, Muhammad; Ciftler, Bekir S.; Khattab, Tamer; Abdallah, Mohamed M.; Trinchero, Daniele ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      In this work, we examine an intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) scenario intending to maximize the sum-rate of users. The optimization problem at the IRS is quite ...

    • An Energy-Efficient In-Network Computing Paradigm for 6G 

      Hu, Ning; Tian, Zhihong; Du, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      In the 6G network era, energy-efficient computing means higher resource utilization and lower energy consumption. The traditional computing model regards the network as a transmission pipeline and has not fully explored ...

    • Leveraging 6G, extended reality, and IoT big data analytics for healthcare: A review 

      Ahmad, Hafiz Farooq; Rafique, Wajid; Rasool, Raihan Ur; Alhumam, Abdulaziz; Anwar, Zahid; ... more authors ( Elsevier , 2023 , Article Review)
      In recent years, the healthcare industry has faced new challenges around staffing, human interaction, and the adoption of telehealth. Technological innovations can improve efficiency, productivity, and patient outcomes, ...

    • Res6Edge: An Edge-AI Enabled Resource Sharing Scheme for C-V2X Communications towards 60 

      Sanghvi, Jainam; Bhattacharya, Pronaya; Tanwar, Sudeep; Gupta, Rajesh; Kumar, Neeraj; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      The paper proposes a sixth-generation (6G)-enabled cellular vehicle-to-anything (C-V2X)-based scheme, ResóEdge, that supports high-data ingestion rate through artificial intelligence (AI) models at edge nodes, or Edge-AI. ...

    • Security concerns on machine learning solutions for 6G networks in mmWave beam prediction 

      Catak, Ferhat Ozgur; Kuzlu, Murat; Catak, Evren; Cali, Umit; Unal, Devrim ( Elsevier B.V. , 2022 , Article)
      6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such ...

    • The Role of 5G/6G Networks in Building Sustainable and Energy-Efficient Smart Cities 

      Shehab, Muhammad; Khattab, Tamer; Kucukvar, Murat; Trinchero, Daniele ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      Future wireless networks aim to provide high-energy efficiency, high spectral efficiency, low cost, and support a massive number of connected devices in prospect the evolution of Internet of Things (IoT) and smart cities. ...