Content deleted Content added
→Mathematical description: condition |
→Mathematical description: hermitian transpose Tag: Reverted |
||
Line 4:
In a multiple antenna downlink system which comprises an <math>N_t</math> transmit antenna access point and <math>K</math> single receive antenna users, such that <math>K \leq N_t</math>, the received signal of user <math>k</math> is described as
:<math>y_k = \mathbf{h}_k^
where <math>\mathbf{x} = \sum_{i=1}^K \sqrt{P_i} s_i \mathbf{w}_i</math> is the <math>N_t \times 1</math> vector of transmitted symbols, <math>n_k</math> is the noise signal, <math>\mathbf{h}_k</math> is the <math>N_t \times 1</math> channel vector and <math>\mathbf{w}_i</math> is some <math>N_t \times 1</math> linear precoding vector. Here <math>(\cdot)^
The above signal model can be more compactly re-written as
:<math> \mathbf{y} = \mathbf{H}^
where
Line 27:
From the fact that each beam generated by zero-forcing precoder is orthogonal to all the other user channel vectors, one can rewrite the received signal as
:<math>y_k = \mathbf{h}_k^
The orthogonality condition can be expressed in matrix form as
:<math>\mathbf{H}^
where <math>\mathbf{Q}</math> is some <math>K \times K</math> diagonal matrix. Typically, <math>\mathbf{Q}</math> is selected to be an identity matrix. This makes <math>\mathbf{W}</math> the right [[Moore–Penrose inverse|Moore-Penrose pseudo-inverse]] of <math>\mathbf{H}^
:<math>\mathbf{W} = \left( \mathbf{H}^
Given this zero-forcing precoder design, the received signal at each user is decoupled from each other as
|