We address the problem of pilot and data channels mismatch in a SSTS (steered space time spreading) system by means of advanced signal processing at the mobile receiver.
We propose a joint uplink/downlink channel estimation scheme for frequency-division duplex (FDD) massive MIMO systems, that is based on the analog feedback of the downlink channel state information
Some of the wireless standards, e.g. IEEE 802.16-2004, allow successive transmission of a number of consecutive slots, where each of them contains a training (pilot) interval.
We consider a transmission system, where the emitted symbols are subject to unknown nonlinear intersymbol interference.
The aim of this paper is to investigate receiver techniques for ML joint channel/data estimation in fading MIMO channels that are both i) data efficient and ii) computationally attractive.
A semi-blind approach for the adjustment of spatio-temporal filter coefficients in short burst Spatial Division Multiple Access (SDMA) systems is proposed.
A semi-blind approach for the adjustment of spatio-temporal filter coefficients in short burst Spatial Division Multiple Access (SDMA) systems is proposed.
The problem of symbol synchronization for semi-blind antenna array signal processing in digital communications is considered.
For the purpose of projecting future macroscopic Internet traffic, we have analyzed historical U.S. and global Internet traffic volumes previously reported for 1990 to the present.
We demonstrate an integrated laser-modulator based on AlGaInAs Single Active Layer and Semi-Insulating iron-doped InP burying technology.
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AI-enhance wireless reliability: joint source and channel coding for robust 6G air interface
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