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![Page 1: Argos Clayton W. Shepard Hang Yu, Narendra Anand, Li Erran Li, Thomas Marzetta, Richard Yang, Lin Zhong Practical Many-Antenna Base Stations.](https://reader036.fdocuments.in/reader036/viewer/2022062421/56649d9d5503460f94a873bc/html5/thumbnails/1.jpg)
Argos
Clayton W. ShepardHang Yu, Narendra Anand, Li
Erran Li, Thomas Marzetta, Richard Yang,
Lin Zhong
Practical Many-Antenna Base Stations
![Page 2: Argos Clayton W. Shepard Hang Yu, Narendra Anand, Li Erran Li, Thomas Marzetta, Richard Yang, Lin Zhong Practical Many-Antenna Base Stations.](https://reader036.fdocuments.in/reader036/viewer/2022062421/56649d9d5503460f94a873bc/html5/thumbnails/2.jpg)
2
Motivation
• Spectrum is scarce
• Hardware is cheap
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3
MU-MIMO Theory
• More antennas = more capacity
–Multiplexing
– Power
– Orthogonality
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4
Data
2
Data 1
Data
6
Data 3
Data 4Data
5
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5
Why not?
• Nothing scales with the number of antennas
– CSI Acquisition
– Computation
– Data Transportation
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Background: Beamforming
6
=
Constructive Interference
=
Destructive Interference
?
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7
Due to environment and terminal mobility estimation has to occur quickly and periodically
BS
The CSI is then calculated at the terminal and sent back to the BSA pilot is sent from each BS antenna
Background: Channel Estimation
+
+=
Align the phases at the receiver to ensure constructive interferenceFor uplink, send a pilot from theterminal then calculate CSI at BS
Path Effects (Walls)
Tx
Rx
Tx
Rx
Tx
Rx
Uplink?
Tx
Rx
Measured channels are not reciprocal due to differences in the Tx and Rx hardware!
![Page 8: Argos Clayton W. Shepard Hang Yu, Narendra Anand, Li Erran Li, Thomas Marzetta, Richard Yang, Lin Zhong Practical Many-Antenna Base Stations.](https://reader036.fdocuments.in/reader036/viewer/2022062421/56649d9d5503460f94a873bc/html5/thumbnails/8.jpg)
8
Background: Multi-User Beamforming
Data 1
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9
Background: Multi-User Beamforming
Data
2
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10
Background: Null Steering
Data 1
Nu
ll
Null
NullNullN
ull
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11
Background: Null Steering
Data
2
Null
NullNull
Null
Null
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12
Background: Multi-User Beamforming
Data
2
Data 1
Data
6
Data 3
Data 4Data
5
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13
Background: Scaling Up
Data 1
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14
Background: Scaling Up
Data 1
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15
Background: Scaling Up
Data 1
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16
Data 3
Data
5
Background: Scaling Up
Data 1
Data
6
Data
2
Data 4
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17
Background: Linear Precoding
• Calculate beamweights– Every antenna has a beamweight for
each terminal
• Multiply symbols by weight, then add together: sWs
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18
Recap
1) Acquire CSI
2) Calculate Weights
3) Apply Linear Precoding
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19
Scalability Challenges
1) Acquire CSI– M+K pilots, then M•K feedback
2) Calculate Weights– O(M•K2), non-parallelizable, centralized
data
3) Apply Linear Precoding– O(M•K), then O(M) data transport
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20
Argos’ Solutions
1) Acquire CSI– New reciprocal calibration method
2) Calculate Weights– Novel distributed beamforming method
3) Apply Linear Precoding– Carefully designed scalable
architecture
O(M•K) → O(K)
O(M•K2) → O(K)*
O(M•K) → O(K) *
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21
Solutions
• Reciprocal Calibration
• Distributed Beamforming
• Scalable Architecture
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22
Channel Reciprocity
• Pilot transmission source?– Basestation– Terminal
• Base station pilot transmission – Requires feedback – M pilots (M ≥ K)
• Terminal pilot transmission– No feedback– K pilots
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Channel Reciprocity
23
TxC
RxC
TxA
RxA
TxB
RxB
Channel Estimation
Transmission
Tx/Rx Chain differences
require calibration
Can we do this without terminal
involvement?
TxA+RxC-TxC-RxA
TxB+RxC-TxC-RxB
TxA+C+RxC-TxC-C-RxA
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Key Idea
24
=
= Any constant phase shift results in same beampattern!
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Channel Reciprocity
25
TxC
RxC
TxA
RxA
TxB
RxB
Channel Estimation
Transmission
TxA+RxC-TxC-RxA
TxB+RxC-TxC-RxB
TxA-RxA
TxB-RxB
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• Find phase difference between A and B
• Tx from A:• Phase offset = TxA-RxA
• Tx from B: • (TxB-RxB )
Internal Reciprocal Calibration
26
TxA
RxA
TxB
RxB
TxA+C+RxB TxB+C+RxA TxA+RxB - TxB-
RxA
add phase difference + (TxA+RxB - TxB-RxA) = TxA-
RxA
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27
Solutions
• Reciprocal Calibration
• Distributed Beamforming
• Scalable Architecture
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28
Problems with Existing Methods
• Central data dependency
• Transport latency causes capacity loss
• Can not scale– Becomes exorbitantly expensive then
infeasible
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29
Conjugate Beamforming
• Requires global power scaling by constant:
• Where, e.g.:
• This creates a central data dependency
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30
BS
Good Channel
Conjugate Beamforming Power
Okay Channel
Bad Channel
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31
BS
High Power
Conjugate Beamforming Power
Normal Power
Low Power
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32
Distributed Conjugate Beamforming
• Scale power at each antenna:
• Maximizes utilization of every radio–More appropriate for real-world deployments
• Quickly approaches optimal as K increases– Channels are independent and uncorrelated
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33
BS
High Power
Distributed Conjugate Beamforming
High Power
High Power
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34
Solutions
• Reciprocal Calibration
• Distributed Beamforming
• Scalable Architecture
![Page 35: Argos Clayton W. Shepard Hang Yu, Narendra Anand, Li Erran Li, Thomas Marzetta, Richard Yang, Lin Zhong Practical Many-Antenna Base Stations.](https://reader036.fdocuments.in/reader036/viewer/2022062421/56649d9d5503460f94a873bc/html5/thumbnails/35.jpg)
?
• Scalable– Support
thousands of BS antennas
• Cost-effective– Cost scales
linearly with # of antennas
35
Architectural Design Goals…
Data
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36
Linear Precoding…
M
K
K
K
K
…
…
…
…
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37
Scalable Linear Precoding…
M
K
K
K
K
…
…
…
…
![Page 38: Argos Clayton W. Shepard Hang Yu, Narendra Anand, Li Erran Li, Thomas Marzetta, Richard Yang, Lin Zhong Practical Many-Antenna Base Stations.](https://reader036.fdocuments.in/reader036/viewer/2022062421/56649d9d5503460f94a873bc/html5/thumbnails/38.jpg)
38
Scalable Linear Precoding…
M
K
K
K
K
Common Databus!
…
…
…
…
![Page 39: Argos Clayton W. Shepard Hang Yu, Narendra Anand, Li Erran Li, Thomas Marzetta, Richard Yang, Lin Zhong Practical Many-Antenna Base Stations.](https://reader036.fdocuments.in/reader036/viewer/2022062421/56649d9d5503460f94a873bc/html5/thumbnails/39.jpg)
39
MUBF Linear Precoding: Uplink
…
M
K
…
K
K
K
…
…
…
![Page 40: Argos Clayton W. Shepard Hang Yu, Narendra Anand, Li Erran Li, Thomas Marzetta, Richard Yang, Lin Zhong Practical Many-Antenna Base Stations.](https://reader036.fdocuments.in/reader036/viewer/2022062421/56649d9d5503460f94a873bc/html5/thumbnails/40.jpg)
40
Scalable Linear Precoding
…
…
…
…
…
M
K
Constant Bandwidth!
K
K
K
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41
Partition Ramifications
• CSI and weights are computed and applied locally at each BS radio– No overhead for additional BS radios
• No central data dependency– No latency from data transport– Constant data rate common bus (no
switching!)
• Unlimited scalability!
![Page 42: Argos Clayton W. Shepard Hang Yu, Narendra Anand, Li Erran Li, Thomas Marzetta, Richard Yang, Lin Zhong Practical Many-Antenna Base Stations.](https://reader036.fdocuments.in/reader036/viewer/2022062421/56649d9d5503460f94a873bc/html5/thumbnails/42.jpg)
42
How do we design it?
• Daisy-chain (series)– Unreliable– Large end to end latency
• Token-ring | Interconnected– Not amenable to linear precoding– Variable Latency– Routing overhead
…
…
…
• Flat structure– Unscalable– Expensive, with large fixed cost
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43
Solution: Argos Architecture
Central Controller
Argos Hub
Argos Hub
Argos Hub
Module
Module
Module
Module
Module
…
…
…
Data Backhaul
ModuleRadio Radio Radio…
![Page 44: Argos Clayton W. Shepard Hang Yu, Narendra Anand, Li Erran Li, Thomas Marzetta, Richard Yang, Lin Zhong Practical Many-Antenna Base Stations.](https://reader036.fdocuments.in/reader036/viewer/2022062421/56649d9d5503460f94a873bc/html5/thumbnails/44.jpg)
44
Argos Implementation
Central Controller
Argos Hub
Module
Module
Module
…
Central Controller
(PC with MATLAB)
Sync Pulse
Ethernet
Clock Distribution
Argos Hub Argos
Interconnect
WARP Module
FPGA
Power PC
FPGA Fabric
Hardware Model
Peripherals and Other
I/O
Clock Board
Daughter
Cards
Radio 4
Radio 3
Radio 2
Radio 1
WARP Module
FPGA
Power PC
FPGA Fabric
Hardware Model
Peripherals and Other
I/O
Clock Board
Daughter
Cards
Radio 4
Radio 3
Radio 2
Radio 1
16
………
Eth
ern
et
WARP Module
FPGA
Power PC
FPGA Fabric
Hardware Model
Peripherals and Other
I/O
Clock Board
Daughter
Cards
Radio 4
Radio 3
Radio 2
Radio 1
ArgosInterconne
ct
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46
WARP Module
s
Central Controll
er
Argos Hub
Clock Distributio
n
Ethernet
Switch
SyncDistributio
n
Argos Interconnects
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47
System Performance
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48
Linear Gains as # BS Ant. Increases
Capacity vs. M, with K = 15
![Page 49: Argos Clayton W. Shepard Hang Yu, Narendra Anand, Li Erran Li, Thomas Marzetta, Richard Yang, Lin Zhong Practical Many-Antenna Base Stations.](https://reader036.fdocuments.in/reader036/viewer/2022062421/56649d9d5503460f94a873bc/html5/thumbnails/49.jpg)
49
Linear Gains as # of Users Increases
Capacity vs. K, with M = 64
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50
Scaling # of Users with 16 BS Ant.
Capacity vs. K, with M = 16
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51
Zero-forcing is not always better!
Capacity vs. K, with M = 16 | Low Power
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52
Calibration is stable for hours!
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53
Conclusion
• First many-antenna beamforming platform– Real-world demonstration of manyfold
capacity increase
• Devised novel techniques and architecture– Unlimited Scalability
http://recg.rice.edu
http://argos.rice.edu