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 6/9/2020
A story 4 6/9/2020
Information Content � Multi-layer Encoding � � Different Achievable Rate of each receiver depends on its channel fluctuation Rate 5 6/9/2020
How to manage interference 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. 6 6/9/2020
Some bottle-necks of IA to become practical Long precoder lengths Channel state information (CSI) Digging a pit 7 6/9/2020
Delayed CSI IA 8 6/9/2020
Staggered Antenna Switching T [1] V 1 1 , x TX1 1 Upper-bound and achievable T [2] V 1 1 , x TX2 2 sum DoF of h h 1 3 RX : x x linearly indipendent 1 1 2 h h 2 4 h h 5 5 RX : x x align 3 1 2 h h 5 5 9 6/9/2020
The concept of channel fluctuation rate and its examples 10 6/9/2020
Markov Model for Channel Variation A simple Markov model for channel variation: 11 6/9/2020
Proposed Antenna Structure and Its ability to control fluctuation rate ° 12 6/9/2020
Proposed Antenna Structure and Its ability to control fluctuation rate 13 6/9/2020
Proposed Antenna Structure and Its ability to control fluctuation rate 14 6/9/2020
Proposed Antenna Structure and Its ability to control fluctuation rate 15 6/9/2020
How to Deployed Antenna Structure 16 6/9/2020
A Key Lemma Result 17 6/9/2020 n
Multi-layer Enconding strategy Number of free interference Power: Dimensions: � Last Layer First Layer � 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 18 6/9/2020
Average Achievable Rate Number of free interference Undecoded layers Probability of having at least i dimensions power free interference dimensions 19 6/9/2020
Maximize Average Achievable Rate When the number of layers has enough large value we can have the following continues approximation: 20 6/9/2020
Maximize Average Achievable Rate Using Euler equation we can conclude that: Power of each layer: 21 6/9/2020
Numerical Results 22 6/9/2020
Numerical Results 23 6/9/2020
Conclusion Antenna fluctuation rate can be consider as a new concept for achieving higher data rate. Different antenna fluctuation rate can be realized by our proposed antenna structure. Interference alignment can be realized without accessing CSI. There is no need to use long precoder length to implement IA. 24 6/9/2020
Thank you! If you have any question you can email us: milad.johnny@gmail.com ALIREZA.VAHID@ucdenver.edu 25 6/9/2020
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