The company has an academy to offer a wireless technology educational training course and an innovation program. The education course covers in-depth algorithm and hardware design of practical wireless systems, for students and engineers who plan to develop expertise in wireless system and hardware development. The innovation program covers technologies and innovations in wireless system and hardware in industrial applications.
Students and engineers are welcome to participate in the industrial course and innovation program to learn the principles of algorithms, the hardware development, and recent technology development in this technology area.
Course: Principles of Wireless Systems with Examples from 5G, LTE and Wi-Fi
Course Introduction
This course covers the practical systems structure and algorithms in wireless systems, with contents balancing between engineering principles and industrial practice. The course provides students with comprehensive technical capabilities to develop wireless system and hardware that are applicable to 5G, LTE and WiFi systems.
This course is suitable for industrial professionals seeking to develop an in-depth understanding of the wireless system principles that can help their professional work. The course audience can be hardware engineers with RTL focus, hardware engineers with analog circuit focus, system engineers, software engineers, and research scientists. This course is also suitable for students from electrical and computer engineering and other fields in engineering and science majors, for example, physics, computer science, etc.
Upon completing this industrial course, participants will receive the Wireless System Certification, issued by InnoMountain Academy.
Course Syllabus
Lecture 1: Principles of Wireless Channel and Signal Modulation
Topics cover: multipath fading, Doppler effect, OFDM principles, inter-symbol interference, inter-carrier interference, three principles of the OFDM signal modulation design, LTE and Wi-Fi signal modulation with three design principles
Lecture 2: Principles of Algorithms in General MIMO-OFDM Systems
Topics cover: double-directional channel, antenna correlation, MIMO-OFDM transceiver structure, the channel estimation algorithm, the pilot design principle, noise variance estimation, MIMO channel decomposition by SVD, MIMO capacity, capacity-achieving MIMO power allocation
Lecture 3: Principles of MIMO Signal Detection Algorithms
Topics cover: signal detection algorithm, linear signal detection, zero-forcing signal detector, MMSE signal detector, nonlinear interference cancellation based signal detection, space-time coding, diversity gain and multiplexing gain
Lecture 4: Principles of Massive MIMO Algorithms
Topics cover: massive MIMO systems, massive MIMO channel hardening properties, massive MIMO channel capacity, massive MIMO pilot design, massive MIMO channel estimation, massive MIMO signal detection, massive MIMO beamforming
Lecture 5: Receiver Algorithms in Physical Uplink Shared Channel
Topics cover: PUSCH receiver structure, channel estimation algorithm based on DM-RS in PUSCH, multi-user MIMO signal detection in PUSCH, timing advance estimation based on DM-RS in PUSCH, phase noise estimation based on PT-RS in PUSCH
Lecture 6: Receiver Algorithms in Sounding Reference Signal
Topics cover: the ZC sequence generation in PUSCH DM-RS and SRS, zero correlation property of ZC sequence, the channel estimation algorithm based on ZC sequence, the time-domain channel responses of multiple users based on ZC sequence
Lecture 7: MIMO Precoding Algorithms in Multi-cell Downlink
Topics cover: multi-cell interference, block diagonalization, number of co-channel users and signaling overhead, the cell-specific spreading method to suppress the multi-cell interference and to increase the number of co-channel users
Lecture 8: Principles of Dynamic Range and Signal Power Analysis
Topics cover: analog front-end of wireless systems, large-scale path loss effect, dynamic range analysis, receiver RF power analysis, receiver SNR at antenna port and the ADC input, fixed-point representation of digital signals
Lecture 9: Principles of Link Adaptation
Topics cover: Link adaptation in cellular networks, MCS table and adaptation metric, the estimated BLER for MCS selection, machine learning based link adaptation method based on received signal waveform and deep neural network
Lecture 10: Principles of Synchronization in Wi-Fi
Topics cover: timing synchronization in OFDM symbol, energy-detection and correlation based timing estimation, effect of carrier frequency offset in OFDM, phase shift of time-domain samples by frequency offset, frequency offset estimation method, Wi-Fi preamble structure
Lecture 11: Principles of Synchronization in 5G NR
Topics cover: 5G PSS and SSS structure and allocation, auto-correlation based timing and carrier frequency offset estimation based on PSS, cross-correlation based timing, cell ID and carrier frequency offset estimation based on PSS and SSS, 5G NR synchronization procedure
Lecture 12: Principles of Channel Coding
Topics cover: 5G PHY channel signal flow, LTE PHY channel signal flow, Turbo code encoder, Shannon coding theorem, linear block codes, parity-check matrix, generator matrix, Gallager’s LDPC codes, LDPC code Belief Propagation (BP) decoding algorithm, LDPC code min-sum decoding algorithm
Lecture 13: Principles of Open RAN
Topics cover: O-DU split option 7.2 hardware blocks, O-DU hardware acceleration, O-RU split option 7.2 architecture and diagram, RU digital processing units, RU 4T4R diagram with RF chains, example FPGA blocks in the RU, RU mMIMO architectures, Integrated O-DU and O-RU (gNB-DU)
Lecture 14: Principles of 5G Non-Terrestrial Network (5G NTN)
Topics cover: transparent and regenerative modes, NTN satellite and platform types, parameters of NTN satellite reference scenarios, architecture and QoS flow of transparent and regenerative satellites, link-level simulation parameters of DL synchronization, PRACH and data channels in NTN evaluation
Lecture 15: Principles of Digital, Analog, RF and Baseband Measurements
Topics cover: digital up-conversion, digital down-conversion, crest factor reduction, digital pre-distortion, digital/analog/hybrid beamforming, calibration in beamformer, calibration in analog front end, Tx-Rx reciprocity calibration, Base-station channel bandwidth, channel arrangement, output power dynamics, adjacent channel leakage power ratio, receiver dynamic range, adjacent channel selectivity, in-band and out-of-band blocking, performance requirements of uplink physical channels
Lecture 16: Principles of Beam Management in 5G
Topics cover: Beam sweeping, beam selection, beam refinement at transmitter, beam refinement at receiver, acquire beam at initial attach, beam measurement and reporting, beam recovery, beam switching, ML in beam management
Lecture 17: Principles of Initial Attach in Cellular Networks
Topics cover: Initial attach signal flow, initial attach registration sequence, cell search and synchronization, RRC connection establishment, network registration, authentication process, security process, network acceptance, RRC reconfiguration, PDU session establishment
Lecture 18: Principles of Wireless Positioning
Topics cover: time and angle based measurements, received waveform based measurements, centroid localization method, triangulation method, fingerprinting method, particle filter and Kalman filter based methods, simultaneous localization and mapping
The course has the following course projects:
1) MMSE Signal Detection RTL Project
2) Channel Estimation RTL Project
3) LDPC Decoder RTL Project
4) Link Adaptation Project
5) Dual-band RFIC Project
6) Massive MIMO RF Front-end Project
The following are some course reference books:
Digital Signal Processing with Field Programmable Gate Arrays, by Uwe Meyer-Baese
5G NR: The Next Generation Wireless Access Technology, by Erik Dahlman Stefan, Parkvall and Johan Skold
Innovation Program
This innovation program studies next-generation wireless technologies. Students will participate in industrial research innovations to resolve the technical challenges on the frontier fields. The investigations on next-generation wireless technologies include following:
Algorithm Design and Hardware Development of Next-Generation Wireless Systems
The next-generation technology algorithm design and development cover the following:
1) Radio front-end technologies to improve spectrum efficiency and signal coverage
2) Algorithms in spatial modulation and multiplexing in massive MIMO systems
3) PHY transmitter design to enhance the coverage with multiple spectrum bands
4) Wireless signal positioning methods and technologies
Spectrum Technologies and Hardware Development in Next-Generation Wireless Systems
The topic covers the following:
1) The wireless radio propagation characteristics at radio spectrum bands including Sub-GHz band, Mid-band, mmWave and sub-Terahertz bands
2) The spectrum management technologies of next-generation wireless systems, and the co-existence with the current systems including Wi-Fi on unlicensed bands, and LTE, 5G and LEO satellites on the licensed bands
Industrial Applications of Next-Generation Wireless Systems and Hardware
The cross-field innovations cover the following industrial areas:
3) Vehicle positioning and communications in transportation applications
2) Wireless networks in mission-critical smart grid applications
3) Broadband wireless radio technologies and networks for smart city applications
Course and Program Enrollment
If you are interested in the course and program, you can send an email to: academy@innomountain-inc.com