Stealth Cognitive Radio With MIMO Active Interference Cancellation and V-BLAST Date: Speaker: 王貞傑 指導教授 : 吳仁銘

Outline AIC Algorithm simulation V-blast Algorithm simulation MIMO-AIC

Active Interference Cancellation (AIC) Algorithm

Minimization

Active Interference Cancellation (AIC) Simulation

Outline AIC Algorithm simulation V-blast Algorithm simulation MIMO-AIC

Vertical Bell Laboratories Layered Space-Time (V-BLAST) Encoding

Vertical Bell Laboratories Layered Space-Time (V-BLAST) Decoding

Initialization: Recursion:

V-Blast Simulation

Outline AIC Algorithm simulation V-blast Algorithm simulation MIMO-AIC

Assumptions: The channel is random, flat-fading or quasi-static, frequency independent (but changing from frame to frame is accepted or that is to say this rule constrains inside a frame). The channel gains, signals and noise are independent. Perfect channel state information (CSI) should be assumed to be available at the receiver end. We have assumed perfect timing and synchronization so that there’s no more degradation. The noise vector is complex AWGN. we have already known first transmitter data sequence so as to operate the AIC action at second receiver to clean interference from both transmitters.

MIMO-AIC Assumptions: QPSK Oversampling rate=4 Final oversampling rate (comparison)=20 2x2 UWB channel ( CM1~CM4) Tx1 :data Tx2 :AIC (around preserved band) data (left subcarriers)

MIMO-AIC

MIMO-AIC(1)

MIMO-AIC(2)

More analysis for Victim part and AIC part

Reference H. Yamaguchi, “Active Interference Cancellation Technique for MB-OFDM Cognitive Radio,” Microwave Conference, th European Volume 2, pp , 13 Oct P. W. Wolniasky, G. J. Foschini, G.D. Golden, and R. A. Valenzuela. “V-blast: An architecture for realizing very high data- rates over the rich-scattering wireless channel,” Proc. IEEE ICC- 00, New Orleans, LA, USA, June htm, Ta-Sung Lee, Signal Processing for Wireless Communications, spring semester in htm