The company has an academy to offer a wireless technology educational training course and an innovation program. The education course covers in-depth algorithm design topics of practical wireless systems, for students and engineers who plan to develop expertise in algorithm designs and wireless system development. The innovation program covers recent technologies and innovations in general wireless industrial research fields.
Students and engineers are welcome to participate in the industrial course and innovation program to learn the principles of algorithms 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 systems and algorithms in practical hardware and software.
This course is suitable for industrial professionals seeking to develop an in-depth understanding of the wireless system algorithm principles that can help their professional work. The course audience can be system engineers, hardware 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, software engineering, computer science, mathematics, physics, etc. The course is developed considering no particular prerequisite knowledge in this technical field.
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, multi-user MIMO
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
Lecture 13: Principles of Front-End Signal Processing
Topics cover: aliasing effects and anti-aliasing filters, upsampling/interpolation, downsampling/decimation, multirate signal processing, polyphase filter structures, digital AGC, digital/analog/hybrid beamforming, ADC and DAC, noise figure, I/Q imbalance, DC offset, phase noise, linearity and intermodulation
Lecture 14: 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
Lecture 15: 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 16: 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 17: Principles of Open RAN
Topics cover: O-RAN split architecture, PHY in O-DU and O-RU, fronthaul interfaces and specifications, massive MIMO and beamforming in O-RAN, PHY layer processing timing, MAC scheduler design in O-RAN, O-RAN to 5G core integration, RAN Intelligent Controller (RIC), network slicing in O-RAN and 5G
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:
Spectrum Technologies 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
Algorithm Design and 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
Industrial Applications of Next-Generation Wireless Systems
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