무선 통신
MIMO 통신은 다중경로 전파를 이용하여 채널을 통한 신호의 송신 및 수신을 개선하기 위한 기법입니다. 이 섹션에 MIMO 통신의 몇 가지 예가 나와 있습니다.
MIMO(다중 입력 다중 출력) 처리 및 OFDM(직교 주파수 분할 다중화) 기법을 빔포밍과 함께 결합하여 수신된 SNR(신호 대 잡음비)을 개선합니다. SNR이 향상되면 비트 오류율이 감소합니다.
안테나 배열을 사용하여 무선 링크의 SNR과 용량을 개선합니다.
채널 행렬에서 도출된 프리코딩 및 결합 가중치 집합을 사용하여 산란이 많은 채널을 통해 여러 데이터 스트림을 전송합니다. 각 데이터 스트림을 개별적으로 복구할 수 있습니다.
대규모 MIMO 통신 시스템의 송신단에서 하이브리드 빔포밍을 사용합니다. 다중 사용자 시스템과 단일 사용자 시스템에 모두 적용 가능합니다.
도움말 항목
- Modeling RF mmWave Transmitter with Hybrid Beamforming (RF Blockset)
Model and simulate a 66 GHz QPSK RF transmit and receive system with a 32-element hybrid beamforming antenna.
- Wireless Digital Video Broadcasting with RF Beamforming (RF Blockset)
Model a digital video broadcasting system which includes a 16 antenna phased array receiver operating at 28 GHz.
- Modeling and Simulation of MIMO RF Receiver Including Beamforming (RF Blockset)
Model a MIMO RF receiver with a baseband beamforming algorithm.
- Model RF Systems with Antenna Arrays Using RF Blockset Antenna Block (RF Blockset)
Use the Antenna block to design antenna arrays for an RF system.
추천 예제
Beamforming for MIMO-OFDM Systems
Model a point-to-point MIMO-OFDM system with beamforming. The combination of multiple-input-multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) techniques have been adopted in recent wireless standards, such as 802.11x families, to provide higher data rate. Because MIMO uses antenna arrays, beamforming can be adopted to improve the received signal to noise ratio (SNR) which in turn reduces the bit error rate (BER).
Hybrid MIMO Beamforming with QSHB and HBPS Algorithms
Presents a Simulink® model of a multiple input multiple output (MIMO) wireless communication system. The wireless system uses hybrid beamforming technique to improve system throughput.
Improve SNR and Capacity of Wireless Communication Using Antenna Arrays
The goal of a wireless communication system is to serve as many users with the highest possible data rate given constraints such as radiation power limit and operating budget. To improve the data rate, the key is to improve the signal to noise ratio (SNR). To serve more users, the key is to reuse the resources. Over the last several decades, numerous algorithms have been adopted to improve the SNR and reuse the resources in time, frequency, and coding spaces. This example shows how the adoption of antenna arrays can help improve the SNR and capacity of a wireless link.
Introduction to Hybrid Beamforming
Introduces the basic concept of hybrid beamforming and shows how to simulate such a system.
RIS(지능형 재구성 표면) 소개
이 예제에서는 타깃이 레이다의 시야 밖에 있는 경우 RIS가 타깃 검출을 개선하는 데 어떻게 도움이 되는지 보여줍니다.
RIS(지능형 재구성 표면)를 사용한 레이다 센싱
이 예제에서는 타깃이 레이다의 시야 밖에 있는 경우 RIS가 타깃 검출을 개선하는 데 어떻게 도움이 되는지 보여줍니다.
Massive MIMO Hybrid Beamforming
How hybrid beamforming is employed at the transmit end of a massive MIMO communications system, using techniques for both multi-user and single-user systems.
MIMO-OFDM Precoding with Phased Arrays
How phased arrays are used in a MIMO-OFDM communications system employing beamforming. Using components from Communications Toolbox™ and Phased Array System Toolbox™, it models the radiating elements that comprise a transmitter and the front-end receiver components, for a MIMO-OFDM communications system. With user-specified parameters, you can validate the performance of the system in terms of bit error rate and constellations for different spatial locations and array sizes.
802.11ad Waveform Generation with Beamforming
Beamform an IEEE® 802.11ad™ DMG waveform with a phased array using WLAN Toolbox™ and Phased Array System Toolbox™.
802.11ad Single Carrier Link with RF Beamforming in Simulink
Model an IEEE 802.11ad™ single carrier link in Simulink® which includes a phased array antenna with RF beamforming. This example requires the following products:
802.11az Three-Dimensional Tracking Using Time of Arrival Estimation
Use an IEEE 802.11az Wi-Fi network to track Wi-Fi devices in a three-dimensional space using time of arrival (TOA) estimation.
NR Downlink Transmit-End Beam Refinement Using CSI-RS
Transmit multiple CSI-RS resources in different directions in a scattering environment.
NR SSB Beam Sweeping
Employ beam sweeping at both the transmitter (gNB) and receiver (UE) ends of a 5G NR system.
Neural Network for Beam Selection
Use a neural network based only on receiver location to reduce the overhead in the beam selection task.
Interference from Satellite Constellation on Communications Link
Analyze interference on a downlink from a constellation of satellites.
Evaluating Interference from 5G New Radio (NR) Signals at an Airport Surveillance Radar
Model an air traffic control radar which operates in the vicinity of a 5G base station.
항공기에서 위성으로의 ADS-B Out 통신
ADS-B(Automatic Dependent Surveillance-Broadcast) Out은 공항과 Iridium NEXT 위성군을 포함한 다양한 타깃에 연결합니다.
Iridium Satellite Spot Beam Coverage on the US
Generate and visualize Iridium satellite spot beams on the US map.
Modeling Impairments in Phased Arrays with Hybrid Architectures
In a hybrid phased array system, analyze impairments to a modulated base-band signal of an RF system using the Phased Array System Toolbox™, RF Toolbox™ and Communications Toolbox™.
Analyze SINR in 6G FR3 Network Using Digital Twin
Use digital twin techniques to analyze the signal-to-interference-plus-noise ratio (SINR) performance in a 6G FR3 network.
Mobility Modeling with Ray Tracing Channel
Use a ray tracing channel to model mobility in a communications link.
5G 파형을 사용한 통합 센싱 및 통신
5G NR(New Radio) 파형의 ISAC(통합 센싱 및 통신) 기능을 살펴봅니다.
