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Showing 1 to 20 of 123 for “"MIMO systems"”.

  1. Mimo systems parameters identification

    … representation of multi-input multi-output systems is given. The new characterization covers the full range of practical situations in linear systems according to the structural properties and model of the perturbations which are known. Its direct link to ARMA processes as well as to …

    vt Repository record for Mimo systems parameters identification (opens in a new tab)

  2. Mutual coupling in MIMO systems

    … towards greater efficiency in communications systems has led to the birth of many new technologies and considerable improvements in existing systems over the last 20 years. These developments have been underpinned by increasing demands for higher data speeds, capacity and reliability by end …

    hull Repository record for Mutual coupling in MIMO systems (opens in a new tab)

  3. Low-Cost Architectures for Future MIMO Systems

    … the next generation of wireless communication systems which addresses most of the critical challenges associated with concurrent relaying systems, such as digital signal processing complexity, long processing delay,<br/>and low latency wireless communications. However, the deployment of …

    qu-belfast Repository record for Low-Cost Architectures for Future MIMO Systems (opens in a new tab)

  4. Linear Precoding for Downlink Network MIMO Systems

    … data and multimedia applications. As wireless systems become more complex, the need to make wireless transceivers more efficient, compact and cost effective becomes challenging. Attempt to design an effective cellular network has been receiving lots of attention and demand to serve more users …

    ohiolink Repository record for Linear Precoding for Downlink Network MIMO Systems (opens in a new tab)

  5. Stochastic Geometry Perspective of Massive MIMO Systems

    … 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 standards, it is essential to have a comprehensive …

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

  6. Channel Estimation Strategies for Coded MIMO Systems

    … are necessary for future wireless communications systems. In a multipath-rich wireless channel, deploying multiple antennas at both the transmitter and receiver achieves high data rate, without increasing the total transmission power or bandwidth. When perfect knowledge of the wireless channel …

    vt Repository record for Channel Estimation Strategies for Coded MIMO Systems (opens in a new tab)

  7. Near-capacity co-located and distributed MIMO systems

    … and distributed Multiple-Input-Multiple-Output (MIMO) systems are investigated. Generally speaking, there are two types of fundamental gains, when using multiple antennas in wireless communications systems: the multiplexing gain and the diversity gain. Spatial multiplexing techniques such as the …

    soton Repository record for Near-capacity co-located and distributed MIMO systems (opens in a new tab)

  8. Decentralized Baseband Processing for Massive MU-MIMO Systems

    … multi-user (MU) multiple-input multiple-output (MIMO) wireless systems requires computationally-complex algorithms for data detection in the uplink (users transmit to base-station) and beamforming in the downlink (base-station transmits to users). Most existing algorithms are designed to be …

    rice Repository record for Decentralized Baseband Processing for Massive MU-MIMO Systems (opens in a new tab)

  9. 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)

  10. Iterative Leakage-Based Precoding for Multiuser-MIMO Systems

    … precoding algorithm to practical multiuser-MIMO systems. We consider the effect of practical impairments including imperfect channel state information, transmit antenna correlation, and time-varying channels. Solutions are derived which improve performance of the algorithm with imperfect …

    vt Repository record for Iterative Leakage-Based Precoding for Multiuser-MIMO Systems (opens in a new tab)

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

    … 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 the computational complexity, we propose to …

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

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

    … 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, the time-domain estimation has enough …

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

  13. Turbo space-time coding for mimo systems : designs and analyses

    Multiple input multiple output (MIMO) systems can provide high diversity, high data rate or a mix of both, for wireless communications. This dissertation combines both modes and suggests analyses and techniques that advance the state of the art of MIMO systems. Specifically, this dissertation …

    njit Repository record for Turbo space-time coding for mimo systems : designs and analyses (opens in a new tab)

  14. 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)

  15. Blind Identification of MIMO Systems: Signal Modulation and Channel Estimation

    … the channel in a Multiple Input Multiple Output (MIMO) system. The method presented herein takes advantage of the modulation induced periodicities of the signals in the system and uses higher-order cyclostationary statistics to extract the signal and channel unknowns. This method can be used to …

    vt Repository record for Blind Identification of MIMO Systems: Signal Modulation and Channel Estimation (opens in a new tab)

  16. 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)

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

    … In order to mitigate this the use of massive MIMO technology has been proposed. Massive MIMO improves both spectral efficiency and energy efficiency and is therefore also proposed for spectra below 6GHz. This study focuses on assessing the potential of massive MIMO through evaluation of linear …

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

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