5G (5th generation wireless systems) is the next major phase of mobile telecommunications standards. The scope of 5G will ultimately range from mobile broadband services to next-generation automobiles and
The initial 5G New Radio (NR) specification was completed in June 2018 and published in the 3GPP Release 15 specification. Now, a variety of industry players, including network equipment vendors,
network operators, semiconductor vendors, and device manufacturers, are developing new products that implement the new standard.
If you are already familiar with 5G, feel free to skip ahead to sections 2–4, which discuss strategies for doing 5G design and development with MATLAB®: new algorithm design (Section 2), accelerating prototyping and field trials (Section 3), and system verification (Section 4).
What’s driving 5G?
Two major trends are behind the race to 5G: the explosive growth in demand for wireless broadband that can carry video and other content-rich services, and the Internet of Things (IoT), where large numbers of smart
devices communicate over the Internet. To achieve these objectives, 5G will provide extreme broadband speed, ultralow latency, and ultrareliable web connectivity. 5G networks and devices will require substantially different architectures, radio access technology, and physical layer algorithms.
Dense networks of small cells will complement macro base stations, operating at millimeter wave technologies and employing massive MIMO antenna arrays. And the processing components within network equipment and user devices will become more integrated and adaptive.
Innovations like hybrid beamforming are stretching the old ways of developing wireless systems. These highly integrated technologies require a corresponding integration of engineering domain expertise and tools.
Designing Antenna Array Elements
Detailed design of antenna elements, with appropriate free space patterns, can then be added to improve the fidelity of an antenna array model.The figure at right illustrates an element pattern
generated using a full wave EM solver in Antenna Toolbox.
The toolbox uses the method of moments (MoM) algorithm to compute port properties such as impedance, surface properties such as current and charge distribution, and field properties such as the near-field and far-field radiation pattern.
You can use Antenna Toolbox to visualize antenna geometry and analysis results in 2D and 3D. You can also integrate antennas and array models into wireless systems, and use impedance analysis to design matching networks. The toolbox also provides radiation patterns for simulating beamforming algorithms.
Data Processing and Visualization
Test engineers may want to store raw captured data or show the results to their management, partners, or customers after analysis. For example, a team might want to show cell handover points on a map, decide if signal-to-interference-plus-noise ratio (SINR) is satisfactory, and how the RSRP varies. In performing this task, it can be necessary to quickly generate standard waveforms and repeat the test process many times.
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- Book Pages Number: 48p
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