The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Minimum mean square error (MMSE) signal detection is near-optimal for uplink multi-user large-scale MIMO systems with hundreds of antennas at the base station, but involves matrix inversion with high complexity. In this paper, we first prove that the filtering matrix of the MMSE algorithm in large-scale MIMO is symmetric positive definite, based on which we propose a low-complexity signal detection...
In transmit beamforming multi-antenna systems, the representative quantized channel direction information (CDI) may become outdated due to the feedback delay. Grassmannian predictive coding (GPC) has been shown as an effective method to overcome this problem. However, the existing GPC algorithm is still of practical concern as the quantization resolution may not be ensured at relatively low feedback...
In this paper, we propose a robust Grassmannian prediction algorithm to provide channel state information (CSI) at the base station for multiuser multiple-input multiple-output (MIMO) systems with delayed limited feedback. The underlying coherence among adjacent quantized CSIs is fully exploited to achieve robustness against the quantization error caused by the limited feedback. Rather than sticking...
In this paper, we propose a quantized predictive precoding scheme for spatial multiplexing multiple- input multiple-output (MIMO) systems with delayed feedback. A geodesic transmit subspace prediction algorithm is designed to predict the transmit subspace for the forthcoming transmission at the receiver. An infrequently updated codebook for transmit subspace quantization is developed to improve the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.