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Showing 1 to 20 of 47 for “"Massive MIMO"”.

  1. Adaptive Neural Signal Detection for Massive MIMO

    Massive Multiple-Input Multiple-Output (MIMO) is a key enabler for fifth generation (5G) cellular communication systems. Massive MIMO gives rise to challenging signal detection problems for which traditional detectors are either impractical or suffer from performance limitations. Recent work has …

    mit Repository record for Adaptive Neural Signal Detection for Massive MIMO (opens in a new tab)

  2. Stochastic Geometry Perspective of Massive MIMO Systems

    … and energy efficiency of wireless networks, massive multiple-input multiple-output (mMIMO) has become one of the key enablers of the fifth-generation (5G) and beyond communication systems. For successful integration of this promising physical layer technique in the upcoming cellular …

    vt Repository record for Stochastic Geometry Perspective of Massive MIMO Systems (opens in a new tab)

  3. Spectrum sharing for multi-user massive MIMO networks

    … sharing (USS) scheme on the performance of two massive multi-input-multi-output (MIMO) networks. We explore an USS approach where a multi-user massive MIMO network (primary network (PN)), i.e., the owner of the frequency spectrum, allows another multi-user massive MIMO network, the secondary …

    uoit Repository record for Spectrum sharing for multi-user massive MIMO networks (opens in a new tab)

  4. Low-Latency Massive MIMO Design over Practical Channels

    … One of the key enabling technologies of 5G is massive MIMO or base-stations with tens to hundreds of antennas. In this thesis, I design cross-layer transmission control for massive MIMO and demonstrate that high throughput can be achieved at less than 1 ms latency. The latency minimizing …

    rice Repository record for Low-Latency Massive MIMO Design over Practical Channels (opens in a new tab)

  5. Fault Tolerance Aspects of Virtual Massive MIMO Systems

    … The generalization of Unique Word OFDM to a MIMO system is performed which allows interpretation as a virtual massive MIMO system with only few physical antennas. Detection methods for the introduced generalization are discussed and their performance is quantified. Because of the large memory …

    passau-thes Repository record for Fault Tolerance Aspects of Virtual Massive MIMO Systems (opens in a new tab)

  6. Doctoral Thesis: Massive MIMO in Real Propagation Environments

    … and communication technology) industry. Massive MIMO is a potential technology to fulfill the requirements and visions. By equipping a base station with a large number, say tens to hundreds, of antennas, many terminals can be served in the same time-frequency resource without severe …

    lund Repository record for Doctoral Thesis: Massive MIMO in Real Propagation Environments (opens in a new tab)

  7. Coordinated multicast beamforming for multi-cell massive MIMO systems

    … multi-cell multicast beamforming design in massive massive multiple-input multiple output (MIMO) cellular networks. For the problem that aims to minimize the base station transmit power, we obtain the optimal multicast beamforming solution structure. Utilizing the optimal structure to reduce …

    uoit Repository record for Coordinated multicast beamforming for multi-cell massive MIMO systems (opens in a new tab)

  8. Channel Estimation in TDD and FDD-Based Massive MIMO Systems

    … frequency-selective multi-user (MU) multi-cell massive multiple-input multiple-output (MIMO) systems, where, a time-domain semi-blind channel estimation technique is proposed. Compared to frequency-domain, the time-domain channel estimation requires fewer parameters be estimated. Importantly, …

    toronto-retro Repository record for Channel Estimation in TDD and FDD-Based Massive MIMO Systems (opens in a new tab)

  9. Low complexity multicast beamforming in massive MIMO multi-cell networks

    … we consider downlink multicast beamforming in massive multi-input multi- output (MIMO) multi-cell networks. Both non-cooperative and cooperative beamforming scenarios are considered. For the non-cooperative scenario, aiming at maximizing the minimum signal-to-interference-plus-noise (SINR) …

    uoit Repository record for Low complexity multicast beamforming in massive MIMO multi-cell networks (opens in a new tab)

  10. Dynamic Metasurface Grouping for IRS Optimization in Massive MIMO Communications

    … systems. With multiple-input multiple-output (MIMO) and Massive MIMO becoming crucial components to modern 5G and beyond networks, a way to mitigate these overhead costs and integrate IRS technology with the promising MIMO techniques is paramount for these devices to have a place within modern …

    ku Repository record for Dynamic Metasurface Grouping for IRS Optimization in Massive MIMO Communications (opens in a new tab)

  11. Channel Estimation Overhead Reduction for Downlink FDD Massive MIMO Systems

    <p>Massive multiple-input multiple-output (MIMO) is the concept of deploying a very large number of antennas at the base stations (BS) of cellular networks. Frequency-division duplexing (FDD) massive MIMO systems in the downlink (DL) suffer significantly from the channel estimation overhead. In …

    arkansas Repository record for Channel Estimation Overhead Reduction for Downlink FDD Massive MIMO Systems (opens in a new tab)

  12. Random numerical linear precoding and channel estimation in massive MIMO systems

    Thesis presented in fulfilment of the requirements for the degree of Doctor of Engineering in Electronic Engineering in the Faculty of Engineering and the Built Environment at Durban University of Technology, 2021.

    dut Repository record for Random numerical linear precoding and channel estimation in massive MIMO systems (opens in a new tab)

  13. Transmit Signal Design for MIMO Radar and Massive MIMO Channel Estimation

    … of this work, we develop the framework for a MIMO radar transmit scheme which trades o waveform diversity for beampattern directivity. Time-division beamforming consists of a linear precoder that provides direct control of the transmit beampattern and is able to form multiple transmit beams in …

    purdue-thes Repository record for Transmit Signal Design for MIMO Radar and Massive MIMO Channel Estimation (opens in a new tab)

  14. Performance evaluation of massive MIMO Systems for future wireless access systems

    … predicated on three main cornerstones. These are massive Machine Type Communication (mMTC) technologies, Ultlra Reliable Low Latency Communications (uRLLC) and enhanced Mobile Broadband (eMBB). In order to achieve the high capacity needed for enhanced Mobile Broadband (eMBB) to be a reality, a …

    cape-town Repository record for Performance evaluation of massive MIMO Systems for future wireless access systems (opens in a new tab)

  15. 3D Massive MIMO and Artificial Intelligence for Next Generation Wireless Networks

    3-dimensional (3D) massive multiple-input-multiple-output (MIMO)/full dimensional (FD) MIMO and application of artificial 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

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

  16. Interpretation of Learned Solutions for Precoding-Oriented Massive MIMO CSI Feedback Design

    … adoption of Frequency Division Duplexing in Massive MIMO systems. While conventional methods rely on Compressed Sensing or Codebook-based techniques, Deep Learning has recently emerged as a powerful paradigm for this challenge. End-to-end (E2E) models, such as the framework proposed by Carpi …

    uic

  17. DESIGN AND ANALYSIS OF COGNITIVE MASSIVE MIMO NETWORKS WITH UNDERLAY SPECTRUM SHARING

    Recently, massive multiple-input multiple-output (MIMO) systems have gained significant attention as a new network architecture to not only achieving unprecedented spectral and energy efficiencies, but also to alleviating propagation losses and inter-user/inter-cell interference. Therefore, massive

    siu-theses Repository record for DESIGN AND ANALYSIS OF COGNITIVE MASSIVE MIMO NETWORKS WITH UNDERLAY SPECTRUM SHARING (opens in a new tab)

  18. Spectral efficiency optimization with channel state information of a massive MIMO System

    … communication motivates the utilization of massive-MIMO. However, they are some limitations in the use of massive-MIMO since large –scale antenna arrays have high cost as well as the high-power consumption of huge Radio Frequency (RF) chains. This is a major drawback in the adoption of fully …

    cape-town Repository record for Spectral efficiency optimization with channel state information of a massive MIMO System (opens in a new tab)

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