Signal Processing for 5G: Algorithms and Implementations (IEEE Press)
A comprehensive and invaluable guide to 5G technology, implementation and practice in one single volume. For all things 5G, this book is a must-read.
Signal processing techniques have played the most important role in wireless communications since the second generation of cellular systems. It is anticipated that new techniques employed in 5G wireless networks will not only improve peak service rates significantly, but also enhance capacity, coverage, reliability , low-latency, efficiency, flexibility, compatibility and convergence to meet the increasing demands imposed by applications such as big data, cloud service, machine-to-machine (M2M) and mission-critical communications.
This book is a comprehensive and detailed guide to all signal processing techniques employed in 5G wireless networks. Uniquely organized into four categories, New Modulation and Coding, New Spatial Processing, New Spectrum Opportunities and New System-level Enabling Technologies, it covers everything from network architecture, physical-layer (down-link and up-link), protocols and air interface, to cell acquisition, scheduling and rate adaption, access procedures and relaying to spectrum allocations. All technology aspects and major roadmaps of global 5G standard development and deployments are included in the book.
Key Features:
- Offers step-by-step guidance on bringing 5G technology into practice, by applying algorithms and design methodology to real-time circuit implementation, taking into account rapidly growing applications that have multi-standards and multi-systems.
- Addresses spatial signal processing for 5G, in particular massive multiple-input multiple-output (massive-MIMO), FD-MIMO and 3D-MIMO along with orbital angular momentum multiplexing, 3D beamforming and diversity.
- Provides detailed algorithms and implementations, and compares all multicarrier modulation and multiple access schemes that offer superior data transmission performance including FBMC, GFDM, F-OFDM, UFMC, SEFDM, FTN, MUSA, SCMA and NOMA.
- Demonstrates the translation of signal processing theories into practical solutions for new spectrum opportunities in terms of millimeter wave, full-duplex transmission and license assisted access.
- Presents well-designed implementation examples, from individual function block to system level for effective and accurate learning.
- Covers signal processing aspects of emerging system and network architectures, including ultra-dense networks (UDN), software-defined networks (SDN), device-to-device (D2D) communications and cloud radio access network (C-RAN).
Why Read This Book
You should read this book if you need a single, practical reference that ties 5G physical-layer theory to real signal‑processing algorithms and implementations. You will learn not just the math behind OFDM, MIMO, beamforming and channel estimation, but how to implement and optimize these algorithms on tools like MATLAB, SDRs, FPGAs and GPUs for real 5G use cases.
Who Will Benefit
Practicing DSP and wireless engineers, PHY-layer implementers, and graduate students who are building or deploying 5G physical‑layer algorithms and prototypes.
Level: Advanced — Prerequisites: Undergraduate signals & systems and linear algebra, probability and random processes, basic digital communications (modulation/coding), and familiarity with MATLAB or a similar technical computing environment.
Key Takeaways
- Implement OFDM and alternative multicarrier waveforms (FBMC, UFMC) used in 5G systems.
- Design and optimize MIMO and massive‑MIMO beamforming, precoding and spatial multiplexing schemes.
- Develop and tune channel estimation, equalization and adaptive filtering algorithms for time‑varying wireless channels.
- Apply FFT-based spectral analysis and wavelet methods for signal analysis and interference mitigation.
- Map and optimize 5G DSP algorithms onto hardware platforms (MATLAB/Simulink, SDR, FPGA, GPU) and validate system‑level tradeoffs.
- Evaluate algorithm performance for mmWave, low‑latency, massive‑connectivity and M2M scenarios with practical RF impairments.
Topics Covered
- Introduction: 5G goals and signal‑processing challenges
- Signals and systems foundations for 5G (linear algebra, stochastic models)
- Multicarrier waveforms: OFDM, FBMC, UFMC and waveform tradeoffs
- Digital filter design, FFT and efficient spectral analysis
- MIMO and massive MIMO: channel models, beamforming and precoding
- Channel estimation, synchronization and pilot design
- Adaptive filtering, equalization and interference cancellation
- Wavelets and time–frequency methods for nonstationary signals
- mmWave front‑end considerations and RF impairments
- Multiple access, resource allocation and low‑latency PHY techniques
- Sensing and radar integration for 5G (joint communications and sensing)
- Implementation platforms: MATLAB, SDRs, FPGA, GPU case studies
- End‑to‑end case studies and performance evaluation
Languages, Platforms & Tools
How It Compares
More implementation‑focused than Tse & Viswanath's Fundamentals of Wireless Communication and broader across 5G signal‑processing topics than Marzetta's Fundamentals of Massive MIMO, which concentrates specifically on massive‑MIMO theory.
