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Showing 1 to 6 of 6 for “"Network MIMO"”.

  1. Linear Precoding for Downlink Network MIMO Systems

    … Attempt to design an effective cellular network has been receiving lots of attention and demand to serve more users in the network is increasing. Supporting more users cannot be achieved easily mainly due to multi-user interference. Cell collaboration, also known as downlink network MIMO, …

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

  2. On Throughput Maximization in a Multi-hop MIMO Ad Hoc Network

    … optimization problems in a multi-hop wireless network. MIMO (multiple-input multiple-output), as an advanced physical layer technology, has been employed in multi-hop wireless networks to increase throughput with a given bandwidth or transmit power. It exploits the use of multiple antennas at …

    vt Repository record for On Throughput Maximization in a Multi-hop MIMO Ad Hoc Network (opens in a new tab)

  3. A digital interface for wireless networks

    … problem of determining the capacity of wireless networks and how to operate them. Within this context we present results on Gaussian relay, interference, and multicast networks. Two new models for wireless networks are introduced here: the discrete network and the superposition network. As with a …

    uiuc Repository record for A digital interface for wireless networks (opens in a new tab)

  4. Exploring Performance Limits of Wireless Networks with Advanced Communication Technologies

    … technologies have emerged to improve network throughput. Some examples include multi-input multi-output (MIMO), full duplex, cognitive radio, mmWave, among others. An important research direction is to understand the impacts of these new technologies on network throughput performance. …

    vt Repository record for Exploring Performance Limits of Wireless Networks with Advanced Communication Technologies (opens in a new tab)

  5. MIMO-OFDM Symbol Detection via Echo State Networks

    Echo state network (ESN) is a specific neural network structure composed of high dimensional nonlinear dynamics and learned readout weights. This thesis considers applying ESN for symbol detection in multiple-input, multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems. A …

    vt Repository record for MIMO-OFDM Symbol Detection via Echo State Networks (opens in a new tab)

  6. Machine Learning-Based Receiver in Multiple Input Multiple Output Communications Systems

    … technologies to multiple-input-multiple-output (MIMO) communications systems is a primary driving force for next-generation wireless systems. This dissertation introduces a variety of neural network structures for symbol detection/equalization tasks in MIMO systems configured with two different …

    vt Repository record for Machine Learning-Based Receiver in Multiple Input Multiple Output Communications Systems (opens in a new tab)