摘要:
An embodiment communication system and method for using multiple-input multiple-output use. Kronecker model to determine a symbol coding formulation that achieves ergodic capacity for high signal-to-noise ratios (SNRs). The lower bound on this capacity is achieved by input signals in the form of the product of an isotropically distributed random Grassmannian component and a deterministic component comprising the eigenvectors and the inverse of the eigenvalues of the transmitter covariance matrix.
摘要:
An embodiment method includes determining, by a first network device, an equivalent coherence time of a narrowband network corresponding to the broadband network in accordance with a channel coherence time and a coherence bandwidth of the broadband network. The method further includes structuring, by the first network device, a Grassmannian symbol in accordance with the equivalent coherence time, generating, by the first network device, Grassmannian symbol sections by partitioning the Grassmannian symbol in accordance with the coherence bandwidth, and transmitting, by the first network device to a second network device, the Grassmannian symbol sections on subchannels within the coherence bandwidth.
摘要:
An embodiment method includes determining, by a first network device, an equivalent coherence time of a narrowband network corresponding to the broadband network in accordance with a channel coherence time and a coherence bandwidth of the broadband network. The method further includes structuring, by the first network device, a Grassmannian symbol in accordance with the equivalent coherence time, generating, by the first network device, Grassmannian symbol sections by partitioning the Grassmannian symbol in accordance with the coherence bandwidth, and transmitting, by the first network device to a second network device, the Grassmannian symbol sections on subchannels within the coherence bandwidth.
摘要:
An embodiment communication system and method for using multiple-input multiple-output use. Kronecker model to determine a symbol coding formulation that achieves ergodic capacity for high signal-to-noise ratios (SNRs). The lower bound on this capacity is achieved by input signals in the form of the product of an isotropically distributed random Grassmannian component and a deterministic component comprising the eigenvectors and the inverse of the eigenvalues of the transmitter covariance matrix.