Most adaptive filtering algorithms couple performance with complexity.
It has recently been recognized by several authors that the CDMA downlink capacity can be increased via traditional equalization techniques, see Klien, Frank and Visotski, Ghauri and Slock, Zoltows
This paper presents a low-complexity multiuser decoding technique that can be implemented in real time for a convolutionally coded direct sequence code division multiple access (DS-CDMA) system.
Joint channel estimation and decoding in a time-varying Rayleigh fading channel is considered.
We propose low-complexity coding schemes that are resilient against sporadic phase slip events and based on a new phase-slip transparent construction of LDPC codes, called block symmetric codes.
Orthogonal time frequency space modulation (OTFS) scheme establishes reliable communication in a rapidly time-varying wireless channel with a high Doppler spread.
We consider nonlinear zero-forcing (ZF) precoding based dynamic spectrum management for improving the G.fast peak-rate performance when only a few users in the cable binder are active.
We consider nonlinear zero-forcing (ZF) precoding design to improve the downstream G.fast peak-rates when only a few users in the cable binder are active.
We propose a low-complexity coding scheme that is resilient against sporadic phase slip events and based on a new phase-slip transparent construction of LDPC codes, called block-symmetric codes.
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AI-enhance wireless reliability: joint source and channel coding for robust 6G air interface
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