Sökning: "kanaluppskattning"

Hittade 5 uppsatser innehållade ordet kanaluppskattning.

  1. 1. Channel Estimation and Power Control Algorithms in the Presence of Channel Aging

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

    Författare :Yan Bixing; [2023]
    Nyckelord :Fading channel; auto-regressive model; power allocation; uncrewed aerial vehicle networks; Fading kanal; auto-regressiv modell; krafttilldelning; obemannade flygfordonsnätverk;

    Sammanfattning : Power allocation algorithms that determine how much power should be allocated to pilot and data symbols play an important role in addressing the trade-off between accurate channel estimation and high high spectral efficiency for data symbols in the presence of time-varying fading channels. Dealing with this trade-off is highly non-trivial when the channel changes or ages rapidly in time. LÄS MER

  3. 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

  4. 3. Sparse Approximation of Spatial Channel Model with Dictionary Learning

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

    Författare :Matilda Zhou; [2022]
    Nyckelord :Spatial channel model SCM ; dictionary learning; compressive sensing CS ; discrete Fourier transform DFT ; overcomplete discrete Fourier transform ODFT ; Rumslig kanalmodell; ordbokslärning; kompressionsavkänning; diskret Fourier-transform; överkomplett diskret Fourier-transform;

    Sammanfattning : In large antenna systems, traditional channel estimation is costly and infeasible in some situations. Compressive sensing was proposed to estimate the channel with fewer measurements. Most of the previous work uses a predefined discrete Fourier transform matrix or overcomplete Fourier transform matrix to approximate the channel. LÄS MER

  5. 4. 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

  7. 5. Design and implementation of LTE-A and 5G kernel algorithms on SIMD vector processor

    Master-uppsats, KTH/Radio Systems Laboratory (RS Lab)

    Författare :Jiabing Guo; [2015]
    Nyckelord :channel estimation; MIMO detection; massive complex matrix inversion; SIMD; kanaluppskattning; MIMO-detektion; massiva komplex matrisinversion; SIMD;

    Sammanfattning : With the wide spread of wireless technology, the time for 4G has arrived, and 5G will appear not so far in the future. However, no matter whether it is 4G or 5G, low latency is a mandatory requirement for baseband processing at base stations for modern cellular standards. LÄS MER