massive mimo communications with one-bit...
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Massive MIMO Communications with One-Bit Quantization Lee Swindlehurst Center for Pervasive Communications and Computing University of California Irvine Hans Fischer Senior Fellow, Institute for Advanced Study Technical University of Munich
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Massive MIMO Communications with One-Bit Quantization Collaborators: Amine Mezghani, Yongzhi Li, Amodh Saxena, Hessam Pirzadeh, Chuili Kong, Deying Kong, Shilpa Rao (UCI) Hela Jedda, Josef Nossek, Wolfgang Utschick (TU Munich, Germany) Inbar Fijalkow (Univ. Cergy-Pontoise, France) Gonzalo Seco Granados (Univ. Autònoma de Barcelona, Spain)
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Center for Pervasive Communications and Computing (CPCC)
Ender Ayanoglu Wireless Communications & Networks
Nader Bagherzadeh Computer Architecture Network-on-a-Chip
Ahmed Eltawil System & Circuit Architectures for Wireless Communications
Michael Green Analog Integrated Circuit Design for Communications Systems
Payam Heydari High-Frequency Analog and RF Integrated Circuit Design
Syed Jafar Multiuser Information Theory Wireless Communications
Hamid Jafarkhani (Director) Coding and Communication Theory Wireless Networks
Athina Markopoulou Network Protocols & Algorithms Network Coding & Security
A. Lee Swindlehurst Signal Processing Wireless Communications
Zhiying Wang Information and Coding Theory Data Storage, Genomic Information
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The Spectral Crunch
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The Spectral Crunch
What if we knew that in 5 years, we would need to handle 1000x more traffic?
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The Road to Gigabit Wireless (5G and Beyond)
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(1) “Pico” and “Femto” Cells
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(2) Millimeter Wave Frequencies (30-300 Ghz)
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(2) Millimeter Wave Frequencies (30-300 Ghz)
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(2) Millimeter Wave Frequencies (30-300 Ghz)
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(3) Massive Multi-Input Multi-Output (MIMO) Antenna Arrays
Rice University
Lund University
Nokia/Mitsubishi
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A Symbiotic Relationship
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A Symbiotic Relationship
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A Symbiotic Relationship
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A Symbiotic Relationship
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A Symbiotic Relationship
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A Symbiotic Relationship
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A Symbiotic Relationship
Research Group: Exploiting Antenna Arrays for Next-Generation Wireless Systems
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“Smart” Antenna Systems
- interference reduction
user 1
Interference 1
user 2
Interference 2
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“Smart” Antenna Systems
- interference reduction
- multiplexing users in space
- at high SNR, M antennas can yield M-fold gain in rate w/out bandwidth expansion
user 1
Interference 1
user 2
Interference 2
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“Smart” Antenna Systems
- interference reduction
- multiplexing users in space
- at high SNR, M antennas can yield M-fold gain in rate w/out bandwidth expansion
- antenna degrees of freedom also used for nulling
- in general, to increase rate by R and null J jammers, need M=R+J antennas
user 1
Interference 1
user 2
Interference 2
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“Smart” Antenna Systems
- interference reduction
- multiplexing users in space
- at high SNR, M antennas can yield M-fold gain in rate w/out bandwidth expansion
- antenna degrees of freedom also used for nulling
- in general, to increase rate by R and null J jammers, need M=R+J antennas
- another alternative: reduce transmit power (increase battery life) for same quality
user 1
Interference 1
user 2
Interference 2
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“Smart” Antenna Systems
- interference reduction
- multiplexing users in space
- at high SNR, M antennas can yield M-fold gain in rate w/out bandwidth expansion
- antenna degrees of freedom also used for nulling
- in general, to increase rate by R and null J jammers, need M=R+J antennas
- another alternative: reduce transmit power (increase battery life) for same quality
- user 1 and user 2 can be different antennas for the same user: MIMO
user 1
Interference 1
user 2
Interference 2
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Massive Antenna Arrays for Wireless
The advantages of multiple antennas in wireless communications is by now well known: - improved coverage - improved diversity - increased spectral efficiency - reduced interference
MIMO is an important component of current WiFi and 4G-LTE standards
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Massive Antenna Arrays for Wireless
The advantages of multiple antennas in wireless communications is by now well known: - improved coverage - improved diversity - increased spectral efficiency - reduced interference
MIMO is an important component of current WiFi and 4G-LTE standards
Current implementations employ relatively few (< 10) antennas, improvements in spectral efficiency are rather modest
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Massive Antenna Arrays for Wireless
The advantages of multiple antennas in wireless communications is by now well known: - improved coverage - improved diversity - increased spectral efficiency - reduced interference
MIMO is an important component of current WiFi and 4G-LTE standards
Current implementations employ relatively few (< 10) antennas, improvements in spectral efficiency are rather modest
At millimeter wave frequencies, on- or near-chip antennas produce a small Footprint for large arrays; e.g., a 12x12 array @ 30 GHz is less than 6”x6”
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Standard Receiver Implementation
sin(!ct)
cos(!ct)analog digital
BPF LNA
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A One-Bit Receiver
sign(¢)
analog digital
sin(!ct)
cos(!ct)
BPF
sign(¢)
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Single Antenna Theoretical Analysis
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Nonlinear Analysis: The Bussgang Decomposition
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Recent Research Activities
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Recent Research Activities
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Recent Research Activities
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Example: Channel Estimation Error Bounds
This is why dithering Is beneficial!
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Example: Channel Estimation
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Recent Research Activities
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Example: Optimizing Energy per Bit
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Recent Research Activities
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Example: Performance of Perturbed Quantized ZF Precoder
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Conclusion
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Conclusion
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Conclusion
YES!