無線通信
MIMO 通信は、マルチパス伝搬を利用してチャネル上の信号の送受信を改善する技術です。このセクションでは、MIMO 通信の例をいくつか紹介します。
多入力多出力 (MIMO) 処理と直交周波数分割多重 (OFDM) 技術をビームフォーミングと組み合わせて、受信 S/N 比 (SNR) を向上させる。SNR の向上によりビット エラー レートが減少する。
アンテナ アレイを使用して、無線リンクの SNR と容量を向上させる。
チャネル行列から導出されたプリコーディングと結合の重みのセットを使用し、散乱の多いチャネルを通して複数のデータ ストリームを送信する。各データ ストリームは個別に復元できる。
マルチユーザー システムとシングルユーザー システムの両方に適用可能な、大規模 MIMO 通信システムの送信側におけるハイブリッド ビーム フォーミングを採用する。
トピック
- 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.
注目の例
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.
Introduction to Reconfigurable Intelligent Surfaces (RIS)
How a RIS can help improve the target detection when the target is outside a radar's field of view.
Radar Sensing with Reconfigurable Intelligent Surfaces (RIS)
How a RIS can help improve the target detection when the target is outside a radar's field of view.
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.
CDL Channel Model Customization with Ray Tracing
Customize the CDL channel model parameters by using the output of ray tracing analysis.
NR SSB Beam Sweeping
Employ beam sweeping at both the transmitter (gNB) and receiver (UE) ends of a 5G NR system.
ビーム選択用のニューラル ネットワーク
受信機の位置のみに基づいたニューラル ネットワークを使用して、ビーム選択タスクのオーバーヘッドを低減する。
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.
Aircraft-to-Satellite Communication for ADS-B Out
The Automatic Dependent Surveillance-Broadcast (ADS-B) Out connects to a variety of targets including airports and the Iridium NEXT satellite constellation.
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.
Integrated Sensing and Communication Using 5G Waveform
Illustrate the integrated sensing and communication capabilities (ISAC) of a 5G New Radio (NR) waveform.
