Avancerad sökning
Hittade 4 uppsatser som matchar ovanstående sökkriterier.
1. Extension of an Existing Simulator for Cellular Communication with Support for 5G NR : Porting of MIMO Channel Estimation Methods form a prototype to an existing Link-Level Simulator
M1-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskapSammanfattning : Multiple Input Multiple Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) are two efficient technologies used to achieve higher data rate, lowlatency, robustness against fading used in 5G New Radio (NR). At the receiver end,the data arrives distorted due to disturbance during transfer over the wireless channel. LÄS MER
2. Pilot Contamination and Mitigation Techniques in Massive MIMO Systems
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : A multi-antenna base station (BS) can spatially multiplex a few terminals over the same bandwidth, a technique known as multi-user, multiple-input multiple-output (MU-MIMO). A new idea in cellular MU-MIMO is the use of a large excess of BS antennas to serve several single-antenna terminals simultaneously. LÄS MER
3. SNR Estimation for Preamble-based Wireless OFDM Systems using Extended Kalman Filter
Master-uppsats, Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskapSammanfattning : In Orthogonal Frequency Division Multiplexing (OFDM) systems, robustness in frequency selective channels is achieved using adaptable transmission parameters. To reckon these parameters, knowledge of Signal to Noise Ratio (SNR) estimates obtained by channel state information is essential. LÄS MER
4. Low Complexity Channel Estimation for OFDM Systems Based on LS and MMSE Estimators’
Master-uppsats, Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskapSammanfattning : In this paper we investigate the block-type pilot channel estimation for orthogonal frequency-division multiplexing (OFDM) systems. The estimation is based on the minimum mean square error (MMSE) estimator and the least square (LS) estimator. We derive the MMSE and LS estimators’ architecture and investigate their performances. LÄS MER