A joint equalization and decoding model processes received signals to generate accurate channel state information reports.
Coupled sparse Bayesian learning exploits joint angle-of-departure and angle-of-arrival angular spread to estimate millimeter wave channel state information.
A constant envelope waveform uses CAZAC signals and cyclic prefixes to generate robust baseband signals.
Software-configurable switch interface boards eliminate cross-connect chassis needs, cutting reconfiguration time and hardware costs.
Reducing frequency domain reference signal density frees resource elements for coverage enhancement in uplink transmissions.
A user equipment receives reference signal pattern information to perform linear interpolation for channel estimation in device-to-device communication.
Segmented self and interference channel estimation eliminates global CSI sharing constraints while achieving 33% throughput gains.
A comb-based reference signal structure supports both OFDM and DFTS-OFDM transmissions.
An adaptive channel estimation system adjusts window length and shape based on interruption duration to maintain signal accuracy.
Inverting bit reordering before serial FFT eliminates post-processing latency and memory usage while maintaining data integrity.