Shown is the resource grid for 5G downlink shared channel (PDSCH). The 5G NR physical layer supports flexible subcarrier spacing for wider channel widths and higher transmission rates. (© 1984-2018 The MathWorks, Inc.)
MathWorks’ 5G Library
MathWorks recently introduced its 5G Library, which is a free, downloadable add-on for LTE System Toolbox. The 5G Library enables engineers to explore the behavior and performance of 5G radio access technologies as defined by the Release 15 3GPP NR standard V15.0 (figure).
Included in the 5G Library are 5G channel models (TR 38.901) and physical layer algorithms defined in the initial 5G standard. It supports 5G Cyclic-Prefix OFDM (CP-OFDM) waveforms with filtering and windowing techniques for spectral shaping. The 5G NR frame numerology with flexible subcarrier spacing—as well as new channel coding schemes, such as LPDC and polar codes—are supported in the 5G Library. Another feature is the 5G link-level simulation reference design, which enables designers to measure 5G link throughputs.
“The 5G physical layer will depart from 4G LTE in a number of ways that improve spectral efficiency and data rates,” Karnofsky explained. “One distinctive feature is a significant jump in the number of active antennas and antenna arrays, as well as the related issues of beamforming, millimeter-wave RF signal processing, and power amplifier (PA) linearization.
“With the 5G Library and related tools for baseband, RF, and antenna design,” he added, “MATLAB provides a flexible framework development of proprietary physical layer algorithms, accelerating link-level simulations and automating verification of massive multiple-input, multiple-output (MIMO) antenna and RF designs.”
More Thoughts from Ken Karnofsky
To meet emerging 5G mobile broadband requirements, RF and digital engineers must address system performance changes and partition designs between RF/analog and digital components.
As advanced radios integrate RF and digital technologies to a degree never seen before, RF and digital engineers need to understand how the RF front end affects system performance. Moreover, they must know how to partition designs between RF/analog and digital components to meet the performance and efficiency requirements of emerging 5G technologies.
Emerging approaches are also adding fuel to the fire. Take, for example, technologies being developed for 5G, such as massive MIMO, mmWave, and the latest modulation schemes that require innovative combinations of new baseband technologies and RF architectures. Or consider IoT devices that require power-efficient RF modules to add wireless connectivity. These technologies only deepen the need for highly integrated design environments and flexible connectivity to prototyping and test hardware.
Advances in technology are presenting certain challenges for design environments and prototyping and test hardware. These challenges have spurred advances in modeling and simulation software including improved integration of RF, antenna, and digital modeling and simulation; faster simulation of complex RF architectures to facilitate rapid design exploration; and connectivity to a range of SDR and RF test hardware to accelerate and lower the cost of prototyping and design verification.
New design architectures and algorithms will affect every aspect of 5G systems, from antennas to RF electronics to baseband algorithms. The performance of these subsystems is so tightly coupled that they must be designed and evaluated together.