This page is all about the new 5G Matlab projects with upcoming research challenges. The standard 5G networks are designed with the objective to reach maximum efficiency, data transfer rate, and minimum network delay in wireless communication. The massive MIMO technique is used in the larger beamforming antenna for reducing the radio propagation issues. Further, it also includes other challenges such as signal propagation, inadequate bandwidth, etc.
What Is 5G New Radio?
The New Radio (NR) is the embryonic RAN technology in the form of a radio interface to support the present cellular network, i.e., 5G communication. The UMTS, LTE, and GSM are considered as the forerunner of the current 5G NR. Initially, GSM (2G) is used for the voice; later, it is improved as UTMS (3G) and LTE (4G) to increase the system efficiency and data transfer rate.
Most importantly, 5G new radio majorly depends on the LTE network to meet the maximum efficiency and bit rate for mobile internet. But, now, the scope of the 5G NR is going beyond the cellular network expectancy. Overall, this network has the core demand to make ultra-fast wireless connections possible in all places. Further, the standard 5G NR is used in the following 3 case studies,
- Ultra-Reliable and Low Latency Communications (URLLC)
- It is well-suited for both machine and human-centric communication for achieving minimum delay and maximum accessibility and reliability.
- For instance: remote control systems, autonomous vehicles, 3D gaming, mission-critical systems, and more
- Massive Machine Type Communications (mMTC)
- It is mainly intended only for machine-centric systems to establish communication over a huge network of computing devices.
- Further, it is expected to reach a high battery life, high connectivity (dense), and low cost.
- Enhanced Mobile Broadband (eMBB)
- It is used for a human-centric system for more user density, capacity, and data rates. Also, it is expected to have a smooth user experience and dynamic motion in the case of a broad coverage.
Below, we have specified the major competencies of the 5G new radio network and their classifications. These competencies are used to elevate the performance of the 5G radio interface in all respects.
5G Network Parameters
- Channels supported
- Physical Broadcast Channel (PBCH)
- Random Access Channel
- Physical Random Access Channel (PRACH)
- Secondary Synchronization Signal (SSS)
- Downlink Control Channel
- Physical Downlink Control Channel (PDCCH)
- Primary Synchronization Signal (PSS)
- Uplink Control Channel
- Physical Uplink Control Channel (PUCCH)
- Synchronization Signal Block (SS Block)
- Downlink Shared Channel
- Physical Downlink Shared Channel (PDSCH)
- Uplink Shared Channel
- Physical Uplink Shared Channel (PUSCH)
- 3GPP Standard Specification
- Release 15 (Frequency Range1)
- System Throughput
- 2.4Gbps
- Sub Carrier Spacing
- 60kHz, 30kHz, and 15kHz
- Modulation Scheme
- Offset Quadrature Phase-Shift Keying (OQPSK)
- Quadrature Amplitude Modulation (QAM16,64,256)
- Number of Antenna
- 4Transmit and 4Receive (4T 4R)
- Duplex Schemes
- Time Division Duplex (TDD)
- Frequency Division Duplex (FDD)
- Bandwidth
- Less than or equal to 100MHz (Frequency Range1)
- Number of Layers
- 4 Downlink Layers / 2 Uplink Layers
Now, we can see the significance of developing 5G Matlab projects. The following points help you to know the reasons to choose the Matlab tool for current 5G research and development.
Why Matlab for 5G network?
- Cell Selection and Search Procedures
- Produce NR waveform
- Simulation of 5G at Link-Level and System-Level
- Custom based Algorithms and Techniques
- Information and Channel Management
- Performance Measurement and Assessment
- Up/Downlink Signal Transmission in Channel Models
Nowadays, wireless communication is moving towards the Simulink and MATLAB tools for their emerging technologies development. It includes integrated RF, 5G NR, massive MIMO antenna, physical layer design. Further, it also used for the following cases:
- To validate the behavior of hardware at different prototypes
- To add standard-compliant for the designs
- To share the code and models between the development crews
- To develop optimal 5G systems using IP
- To simulate the working abilities of the antenna design, the RF algorithm in the 5G system
For illustrative purposes, we have listed out few critical 5G applications with their key objectives. Beyond this, our developers are adept in other related applications also. So, you can avail this tremendous benefit from us.
5G Applications using Matlab
- Testing and Designing of Golden Reference Model
- Custom based techniques and algorithms
- NR Waveform Production and Inspection
- Used for NR framing, sub-framing, OFDM numerology, and subcarrier spacing
- End-to-end simulation by link-level
- Study the throughput and bit error rate (BER)
- Design of receiver, channel models, and transmitter
Now, we can see the essential layers in the 5G new radio system architecture. Also, it works as the protocol. These layers are general for most real and non-real applications. As well, each layer has its own functionalities to perform for transmitting and receiving data. The 5G NR radio access network is comprised of these protocol entities:
- Physical (PHY) Layer
- Medium Access Control (MAC) Layer
- Service Data Adaptation Protocol (SDAP) Layer
- Radio Link Control (RLC) Layer
- Packet Data Convergence Protocol (PDCP) Layer
Overview of 5G Matlab
Now, we can see the brief detail about the 5G Matlab. For modeling the wireless system, MATLAB will be more useful, which has the feature of Simulink. It is used for designing the wireless system and analyzing, verifying, and simulating the designed model. It supports emerging all 4G, 5G, Wi-Fi protocols along with new massive MIMO techniques to increase the ease of use. Below, we have given you the major issues in 5G communication that are still looking for a better solution.
Research Challenges in 5G Matlab Projects
- Expensive to install T/R modules for every individual channel
- System partitioning in domain-based RF beamforming
- Lack of beamforming tractability due to the complex weighting control
Our developers have given you major tools and toolboxes used in the 5G Matlab from the development side. All these toolboxes are specially introduced to support the emerging 5G concepts and techniques. So, it is more useful while implementing the current research ideas.
5G Matlab Tools and Toolboxes
- Hybrid Beamforming Schemes
- Simulation of WLAN 802.11ad Standard
- 5G Resource Library and Packages
- Ray Tracing based MIMO Beamforming
- 4G Winner II Propagation Channel Model and Path loss
- Wi-Fi and IEEE 802.11ah Protocols in WLAN System Toolbox
To reach the peak spectrum efficiency, we need to use the best channel model in 5G system. Selecting the appropriate model will benefit the 5G system to improve the system performance. Here, we have enumerated some vital information about the 5G channel models.
5G Channel Models
- Development and Investigation of 5G channel models
- These include control of
- MIMO capacity and channel correlation
- TDL-Delay profile and customizable CDL profiles
- Geometry based CDL channel model for an antenna array as P, M, Ng, N, and Mg
- Delay spread and Doppler shift in channel communication
How does the 5G channel model work in Matlab?
By utilizing standard-compliant models, we can design, test, and optimize the 5G architecture (physical layer). Further, we can assess the responsibility of the evolving array approaches (array antenna), propagation channels, and RF impairments (mmWave). Here, we have specified other primary operations of the 5G channel model.
- Multiband OFDM Demodulation
- Channel Model: Tapped Delay Line (TDL) and Clustered Delay Line (CDL)
- Synchronization Channel
- Perfect Channel Estimation (Uplink / Downlink)
- Downlink Shared Channel (DL-SCH) generation and decoding
- Multiplexing Waveform as Orthogonal Frequency-Division Multiplexing, Windowed-OFDM and Filtered- OFDM Simulation using Matlab simulink
- Physical Downlink Shared Channel (PDSCH) resource mapping and decoding
5G MATLAB Toolbox
In particular, this toolbox is launched to design, simulate, study and check the 5G NR and their enabling communication technologies. For this purpose, it includes several libraries, standard-compliant functions, modules, and reference models, Wireless Simulation. Moreover, it also enables waveform generation, link-level / system-level simulation, golden reference, and more.
Most importantly, this toolbox support custom-based functions where you can easily edit the modules for reference models. These models work with RF models, uplink/downlink signals, interferences, and etc. Further, you can generate the waveforms and design test bench through the Wireless Waveform Generator app or coding. These waveforms are used to validate the models which meet the 3GPP standards. Our resource team has bulleted some handpicked key 5G Matlab Projects with their core concepts or objectives.
Matlab Project Topics in 5G Network
- Design of Downlink Control Channel
- Model DCI message encoding, PDCCH processing, and information recovery in 5G NR communications system.
- SS Burst and Blocks
- Produce the 5G new radio SS blocks to form a SS burst
- Uplink/Downlink-SCH LDPC Processing
- Based on the low-density parity-check (LDPC) coding, the 5G NR waveform performs the uplink and downlink-SCH transport blocks.
- 5G enabled NR Polar Coding
- Design the 5G assisted new CRC-Aided Polar (CA-Polar) coding approach
As mentioned earlier, NR waveforms in 5G are used to increase the channel model performance. Now, we can see the most widely used in-built common methods of Matlab for uplink and downlink configuration.
5G Configuration Functions in Matlab
- nrSearchSpaceConfig – Set the metrics for the configuration of search space
- nrDLCarrierConfig – 5G downlink waveform configuration parameters
- nrWavegenCSIRSConfig – Set the Channel State Information-Reference Signal metrics for 5G waveform
- nrWavegenPDSCHConfig – Set the metrics for Physical Downlink Shared Channel configuration while generating waveform in 5G
- nrPDSCHPTRSConfig – Set the metrics of Physical Downlink Shared Channel-Phase Tracking Reference Signals for tracking the phase noise
- nrWavegenSSBurstConfig – SS burst configuration parameters for 5G waveform generation
- nrCORESETConfig – Control the resource set configuration of new radio waveforms
- nrWavegenPDCCHConfig – Set the metrics parameters of physical downlink control channel (PDCCH)
- nrPDSCHDMRSConfig – Set the metrics of Physical Downlink Shared Channel- Demodulated-Reference Signal configuration for downlink signals
In particular, we also mentioned the functions specific for the generation of the uplink waveform. More than this, there are several pre-defined functions available in the 5G Matlab tool. Based on the requirements of the handpicked project topic, the functions will differ. The Uplink Waveform Generation functions using Matlab is listed below,
- nrULCarrierConfig – Set the metrics while configuring the uplink in producing a 5G-NR waveform
- nrSCSCarrierConfig – Set the subcarrier spacing in the time of carrier configuration of 5G NR waveform for OFDM
- nrWavegenPUSCHConfig – Set the physical uplink shared channel (PUSCH) for denoting the slot allocation
- nrWavegenBWPConfig – Set the bandwidth part in configuring the waveform generation of the 5G network
- nrWaveformGenerator – Used to produce new radio waveform for certain configuration in 5G networks
- nrPUSCHPTRSConfig – Set the metrics of PUSCH Phase Tracking-Reference signal configuration for estimating the system CPE
- nrWavegenSRSConfig – Set the Sounding Reference Signal (SRS) configuration for 5G NR waveform
- nrPUSCHDMRSConfig – Set the metrics of PUSCH Demodulated-Reference Signal configuration for estimating the channel
If you are seeking the best research and code execution service in 5G Matlab Projects, then make a bond with us. We are here to meet your expectations in all aspects through our flawless services.