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Showing 1 to 20 of 24 for “"Massive MIMO systems"”.

  1. 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)

  2. 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)

  3. 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)

  4. 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)

  5. 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)

  6. 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)

  7. 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)

  8. Robust multi-group multicast beamforming design and antenna selection for massive MIMO systems

    … multi-group multicast beamforming scheme for massive multiple-input multiple-output (MIMO) systems for two scenarios; 1) all antennas are available at the base station (BS), 2) only subset of antennas are available due limitation on the number of RF chains (joint antenna selection and …

    uoit Repository record for Robust multi-group multicast beamforming design and antenna selection for massive MIMO systems (opens in a new tab)

  9. Effect of Exponential Correlation Model on Spectral and Energy Efficiency for Massive MIMO Systems

    … Moreover, the consumed energy by the wireless systems will be increasing. Hence, the Fifth generation (5G) wireless networks needs to provide higher data rate, serve larger number of users simultaneously and be more energy efficient. One of the promising technologies that can meet the above …

    denver Repository record for Effect of Exponential Correlation Model on Spectral and Energy Efficiency for Massive MIMO Systems (opens in a new tab)

  10. A POMDP framework for antenna selection and user scheduling in multi-user massive MIMO systems

    … at a multi-antenna BS that is equipped with a massive number of antennas and only a limited number of RF chains. Considering that channels evolve according to a Markov process and that only partial CSI is available, we use a POMDP framework for antenna selection with the aim to maximize the …

    uoit Repository record for A POMDP framework for antenna selection and user scheduling in multi-user massive MIMO systems (opens in a new tab)

  11. On iterative low-complexity algorithm for optimal antenna selection and joint transmit power allocation under impact pilot contamination in downlink 5g massive MIMO systems

    Massive multiple-input-multiple-output (MIMO) technology has been proven to be a viable strategy for enhancing energy efficiency (EE) and achievable high data rates, which is the key to the design of the fifth-generation wireless cellular networks. The major challenge in massive MIMO systems is …

    uthm Repository record for On iterative low-complexity algorithm for optimal antenna selection and joint transmit power allocation under impact pilot contamination in downlink 5g massive MIMO systems (opens in a new tab)

  12. 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)

  13. Optimal structure and efficient algorithm for max-min fair multi-group multicast beamforming

    … or solving the QoS problem iteratively. For massive MIMO systems, we propose an efficient MMF multicast beamforming design based on the optimal solution structure. The semi-definite relaxation (SDR) method and an SCA-based method are applied to solve the problem with low-complexity. …

    uoit Repository record for Optimal structure and efficient algorithm for max-min fair multi-group multicast beamforming (opens in a new tab)

  14. 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)

  15. Analysis of Wireless Networks With Massive Connectivity

    … in the design of future wireless communication systems. With this motivation, in this thesis, we focus on the analysis of wireless networks with massive connectivity.</p><p>In the first part of the thesis, we seek to improve the energy efficiency (EE) of single-cell massive multiple-input …

    syracuse-diss Repository record for Analysis of Wireless Networks With Massive Connectivity (opens in a new tab)

  16. 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)

  17. Exploiting Spatial Degrees-of-Freedom for Energy-Efficient Next Generation Cellular Systems

    … to be a primary goal in next generation cellular systems because it promises to reduce operating costs. The first key issue is energy efficiency of distributed antenna systems (DASs). The power consumption of high power amplifiers (HPAs) used in wireless communication systems is determined by the …

    vt Repository record for Exploiting Spatial Degrees-of-Freedom for Energy-Efficient Next Generation Cellular Systems (opens in a new tab)

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

    … important for radar and wireless communication systems. In the rst part 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 …

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

  19. Advanced wireless communications using large numbers of transmit antennas and receive nodes

    … of antennas at the base station, often called massive multiple-input multiple-output (MIMO), has drawn considerable interest because of its potential ability to revolutionize current wireless communication systems. Most literature on massive MIMO systems assumes time division duplexing (TDD), …

    purdue-thes Repository record for Advanced wireless communications using large numbers of transmit antennas and receive nodes (opens in a new tab)

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