LMS adaptive algorithm
This LMS adaptive algorithm is simple but very powerful signal processing technique which can be used for various applications. 참조: Least mean squares (LMS) - Human Communications Wiki ( Google 사이드위키에서 보기 )
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[MU-MIMO] Feedback reduction by multiuser diversity
We describe the throughput performance of user scheduling system when multiuser diversity is applied to the network. If the number of scheduling users is K in the user scheduling network, the required feedback bits is reduced from B to B – log2 K where B is the number of feedback bits and K is the number of active users in the network. The channel model of the uplink multiuser MIMO system is given by y_k = H_k * x_k + n_k where H_k is the wireless fading channel vector for user k, x_k is the scalar transmit signal, and n_k is the noise signal vector.
Wireless System Modeling
Noise modeling n 1 , ..., n NK are independent complex Gaussian noise terms with unit variance. Fading Modeling We consider a block fading channel with iid Rayleigh fading from block to block. The channel coefficients are iid complex Gaussian with unit variance.