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Showing 1 to 20 of 34 for “"Next-generation wireless networks"”.

  1. Radio Resource Management Optimization For Next Generation Wireless Networks

    … have led to a tremendous expansion in the wireless market volume. Despite the continuous progress in the radio-access technologies to cope with that expansion, many challenges still remain that need to be addressed by both the research and industrial sectors. One of the many remaining …

    uwo Repository record for Radio Resource Management Optimization For Next Generation Wireless Networks (opens in a new tab)

  2. Survivability Against Intelligent Adversary in Next-Generation Wireless Networks

    … user (PU) is not transmitting. CRN being a next generation wireless network inherits all the challenges of wireless and brings some critical issues due to the dynamic spectrum sensing and acquirement. Multiple SUs compete for spectrum and create conflicts and collisions in spectrum …

    unr Repository record for Survivability Against Intelligent Adversary in Next-Generation Wireless Networks (opens in a new tab)

  3. Mobility modeling and management for next generation wireless networks

    Mobility modeling and management in wireless networks are the set of tasks performed in order to model motion patterns, predict trajectories, get information on mobiles' whereabouts and to make use of this information in handoff, routing, location management, resource allocation and other …

    njit Repository record for Mobility modeling and management for next generation wireless networks (opens in a new tab)

  4. Efficient radio resource management in next generation wireless networks

    … has witnessed a phenomenal growth in mobile wireless communication networks and subscribers. In 2015, mobile wireless devices and connections were reported to have grown to about 7.9 billion, exceeding human population. The explosive growth in mobile wireless communication network subscribers …

    cape-town Repository record for Efficient radio resource management in next generation wireless networks (opens in a new tab)

  5. Power-Aware Planning and Design for Next Generation Wireless Networks

    … traffic growth over the past decade. With the 4G wireless communication systems being deployed in the world most recently, the fifth generation (5G) mobile and wireless communica- tion technologies are emerging into research fields. The fast growing data traffic volume and dramatic expansion of …

    syracuse-diss Repository record for Power-Aware Planning and Design for Next Generation Wireless Networks (opens in a new tab)

  6. Robust and high performance machine learning for next generation wireless networks

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms

    uiuc Repository record for Robust and high performance machine learning for next generation wireless networks (opens in a new tab)

  7. 3D Massive MIMO and Artificial Intelligence for Next Generation Wireless Networks

    … intelligence are two main driving forces for next generation wireless systems. This dissertation focuses on aspects of channel estimation and precoding for 3D massive MIMO systems and application of deep reinforcement learning (DRL) for MIMO broadcast beam synthesis. To be specific, downlink …

    vt Repository record for 3D Massive MIMO and Artificial Intelligence for Next Generation Wireless Networks (opens in a new tab)

  8. Access network selection schemes for multiple calls in next generation wireless networks

    … internet services by mobile subscribers over the wireless access networks, with limited radio resources and capacity constraints. A viable solution to this capacity crunch is the deployment of heterogeneous networks. However, in this wireless environment, the choice of the most appropriate Radio …

    cape-town Repository record for Access network selection schemes for multiple calls in next generation wireless networks (opens in a new tab)

  9. Deep Reinforcement Learning for Next Generation Wireless Networks with Echo State Networks

    … under the practical challenges of real-world wireless communication systems. The non-stationary and partially observable wireless environments make the learning and the convergence of the DRL agent challenging. One way to facilitate learning in partially observable environments is to combine …

    vt Repository record for Deep Reinforcement Learning for Next Generation Wireless Networks with Echo State Networks (opens in a new tab)

  10. Performance enhancements in next generation wireless networks using network coding : a case study in WiMAX

    … network-coding-enhanced network architecture for next generation wireless networks. The architecture applies intra-session random linear network coding as a packet erasure code below the IP layer. Using WiMAX as a case study, a series of point-to-point single-interface experiments are conducted to …

    mit Repository record for Performance enhancements in next generation wireless networks using network coding : a case study in WiMAX (opens in a new tab)

  11. Performance Modelling and Analysis of Handover and Call Admission Control Algorithm for Next Generation Wireless Networks

    The next generation wireless system (NGWS) has been conceived as a ubiquitous wireless environment. It integrates existing heterogeneous access networks, as well as future networks, and will offer high speed data, real-time applications (e.g. Voice over IP, videoconference ) and real-time …

    bradford Repository record for Performance Modelling and Analysis of Handover and Call Admission Control Algorithm for Next Generation Wireless Networks (opens in a new tab)

  12. Towards location-awareness in next generation wireless networks : a new approach based on channel state information

    Location-awareness in next generation wireless networks will be a key enabler for numerous emerging applications. Recently, a novel approach to localization based on soft information (SI), exploiting all positional information inherent in measurement and contextual data, has been proposed. This …

    mit Repository record for Towards location-awareness in next generation wireless networks : a new approach based on channel state information (opens in a new tab)

  13. Joint call admission control incorporating pricing for congestion control to enhance QoS and ensure revenue for network operators in next generation wireless networks

    Next Generation Wireless Networks (NGWNs) are envisaged to be heterogeneous. They will integrate multiple Radio Access Technologies (RATs) on the same platform where the RAT s are expected to work together in a coordinated fashion. Radio resources will therefore be jointly managed. Joint Call …

    cape-town Repository record for Joint call admission control incorporating pricing for congestion control to enhance QoS and ensure revenue for network operators in next generation wireless networks (opens in a new tab)

  14. Fundamentals of Efficient Spectrum Access and Co-existence with Receiver Nonlinearity

    … channel interference in non-intuitive ways. Next generation wireless networks will see unprecedented diversity across receiver and radio technologies accessing the same band of spectrum in spatio-temporal proximity. Ensuring adjacent channel co-existence is of prime importance for successful …

    vt Repository record for Fundamentals of Efficient Spectrum Access and Co-existence with Receiver Nonlinearity (opens in a new tab)

  15. Advancements in Radar Sensing and Communications through Reconfigurable Intelligent Surfaces

    … represents a promising technology for reshaping wireless channels, offering a new degree of freedom in the design of next-generation wireless networks. Specifically, RIS has shown significant potential in enabling smart, programmable environments by manipulating wireless propagation to establish …

    uic

  16. Compact integrated designs of microwave filters and antennas with dual-polarization

    … high compactness and high performance for next generation wireless networks, this thesis investigates the use of a material with a high dielectric constant (approximately 20) and low loss for integrated design of microwave filters and antennas. Two different filtering antenna designs in the …

    uoit Repository record for Compact integrated designs of microwave filters and antennas with dual-polarization (opens in a new tab)

  17. Dynamic user motion prediction using advanced Kalman filtering in 5G mmWave systems

    … environments remains a significant challenge for next-generation wireless networks. Millimeterwave (mmWave) technology offers substantial bandwidth and data rate advantages but necessitates precise beam steering to maintain connectivity. The dynamic nature of mobile environments, coupled with …

    regina Repository record for Dynamic user motion prediction using advanced Kalman filtering in 5G mmWave systems (opens in a new tab)

  18. Structure-utilized, Adaptive, and Efficient ML-based Proportional-Fair Scheduling in MIMO Networks for Non-stationary Channels

    … framework that adapts to non-stationary wireless conditions in real time. The framework adopts a Graph Neural Network (GNN)-based scheduler—which captures both user-specific metrics and inter-user interference patterns—enabling structurally sample-efficient learning that generalizes well …

    rice Repository record for Structure-utilized, Adaptive, and Efficient ML-based Proportional-Fair Scheduling in MIMO Networks for Non-stationary Channels (opens in a new tab)

  19. Improving the planning and deployment of wireless networks via the application of deep learning

    Fifth-generation (5G) and beyond (B5G) wireless communication networks are poised to transform the landscape of modern communication systems. In addition to providing conventional services offered by legacy wireless networks, 5G/B5G systems are expected to support an increasingly diverse set of …

    cambridge Repository record for Improving the planning and deployment of wireless networks via the application of deep learning (opens in a new tab)

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