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Embedding Information in Radiation Pattern Fluctuations
By: Milad Johnny and Alireza Vahid*
*Alireza Vahid is with the department of Electrical Engineering at the University of Colorado Denver, USA
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A story
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Embedding Information in Radiation Pattern Fluctuations By: Milad - - PowerPoint PPT Presentation
Embedding Information in Radiation Pattern Fluctuations By: Milad - - PowerPoint PPT Presentation
Embedding Information in Radiation Pattern Fluctuations By: Milad Johnny and Alireza Vahid* *Alireza Vahid is with the department of Electrical Engineering at the University of Colorado Denver, USA 1 6/9/2020 A story 2 6/9/2020 A story 3
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A story
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A story
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Information Content
Multi-layer Encoding
Different Achievable Rate of each receiver depends on its channel fluctuation Rate
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Treating interference as noise Interference cancellation (strong interference) TDMA, FDMA and CDMA schemes Multiple antenna structures Interference alignment (IA) scheme
- V. R. Cadambe and S. A. Jafar, ``Interference alignment and degrees of freedom of
the K-user interference channel,” IEEE Trans. Inf. Theory, vol. 54, no. 8, pp. 3425–3441,
- Aug. 2008.
- M. A. Maddah-Ali, A. S. Motahari, and A. K. Khandani, ``Communication over MIMO X
channels: Interference alignment, decomposition, and performance analysis,” IEEE
- Trans. Inf. Theory, vol. 54, pp. 3457–3470, Aug. 2008.
How to manage interference
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Long precoder lengths Channel state information (CSI)
Some bottle-necks of IA to become practical
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Digging a pit
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Delayed CSI IA
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Staggered Antenna Switching
TX1 TX2
1 [1]
1 1 ,
T
V x
2 [2]
1 1 ,
T
V x
1 3 1 1 2 2 4 5 5 3 1 2 5 5
: linearly indipendent : align h h RX x x h h h h RX x x h h
Upper-bound and achievable sum DoF of
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The concept of channel fluctuation rate and its examples
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Markov Model for Channel Variation
A simple Markov model for channel variation:
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Proposed Antenna Structure and Its ability to control fluctuation rate
°
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Proposed Antenna Structure and Its ability to control fluctuation rate
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Proposed Antenna Structure and Its ability to control fluctuation rate
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Proposed Antenna Structure and Its ability to control fluctuation rate
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How to Deployed Antenna Structure
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A Key Lemma Result
n
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Multi-layer Enconding strategy
First Layer Last Layer
- Power:
Number of free interference Dimensions: If we have a state with L free interference dimensions at receiver we can decode the transmitted layers from the first one to L-th state
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Average Achievable Rate
Undecoded layers power Number of free interference dimensions Probability of having at least i free interference dimensions
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When the number of layers has enough large value we can have the following continues approximation:
Maximize Average Achievable Rate
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Using Euler equation we can conclude that:
Maximize Average Achievable Rate
Power of each layer:
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Numerical Results
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Numerical Results
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Antenna fluctuation rate can be consider as a new concept for achieving higher data rate. Different antenna fluctuation rate can be realized by
- ur proposed antenna structure.
Interference alignment can be realized without accessing CSI. There is no need to use long precoder length to implement IA.
Conclusion
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Thank you!
If you have any question you can email us: milad.johnny@gmail.com ALIREZA.VAHID@ucdenver.edu