Sökning: "Approximate Message Passing"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Approximate Message Passing.

  1. 1. Expressibility of multiscale physics in deep networks

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Hannes Marklund; [2022]
    Nyckelord :;

    Sammanfattning : Motivated by the successes in the field of deep learning, the scientific community has been increasingly interested in neural networks that are able to reason about physics. As neural networks are universal approximators, they could in theory learn representations that are more efficient than traditional methods whenever improvements are theoretically possible. LÄS MER

  2. 2. Deep Neural Networks for dictionary-based 5G channel estimation with no ground truth in mixed SNR scenarios

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Matteo Ferrini; [2022]
    Nyckelord :5G; Channel Estimation; Sparse Linear Inverse Problem; Approximate Message Passing; Neural Networks; 5G; kanaluppskattning; sparsamt linjärt inversproblem; approximativ meddelandeöverföring; neurala nätverk;

    Sammanfattning : Channel estimation is a fundamental task for exploiting the advantages of massive Multiple-Input Multiple-Output (MIMO) systems in fifth generation (5G) wireless technology. Channel estimates require solving sparse linear inverse problems that is usually performed with the Least Squares method, which brings low complexity but high mean squared error values. LÄS MER

  3. 3. Deep Learning based Approximate Message Passing for MIMO Detection in 5G : Low complexity deep learning algorithms for solving MIMO Detection in real world scenarios

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Andrea Pozzoli; [2022]
    Nyckelord :5G; MIMO detection; Approximate Message Passing; OAMP-Net2; LVAMP; MMNet; Deep Learning; 5G; MIMO-detektering; Approximate Message Passing; OAMP-Net2; LVAMP; MMNet; Deep Learning;

    Sammanfattning : The Fifth Generation (5G) mobile communication system is the latest technology in wireless communications. This technique brings several advantages, in particular by using multiple receiver antennas that serve multiple transmitters. LÄS MER

  4. 4. Graph Neural Networks and Learned Approximate Message Passing Algorithms for Massive MIMO Detection

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Andrea Scotti; [2020]
    Nyckelord :;

    Sammanfattning : Massive multiple-input and multiple-output (MIMO) is a method to improvethe performance of wireless communication systems by having a large numberof antennas at both the transmitter and the receiver. In the fifth-generation(5G) mobile communication system, Massive MIMO is a key technology toface the increasing number of mobile users and satisfy user demands. LÄS MER

  5. 5. Approximate Inference Low-Complexity MIMO Detection

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Joao Torres; [2019]
    Nyckelord :;

    Sammanfattning : In the telecommunications field, the correct detection of a certain signal is of most interest as it improves the robustness of the system. With multiple-input multiple-output (MIMO) antenna systems a new problem arises, the increase in complexity of the detection algorithms with the number of antennas. LÄS MER