Abstract: Variational Bayesian learning (VBL)-aided extended target localization is conceived for orthogonal frequency division multiplexing (OFDM) based-mmWave MIMO systems using the OFDM integrated ...
Abstract: Most of the MIMO-OFDM analyses in the literature assume idealized receiver conditions in terms of time and frequency synchronization, and sampling clock offset. Moreover, often the cyclic ...
Xiaomi’s MiMo team released MiMo-Audio, a 7-billion-parameter audio-language model that runs a single next-token objective over interleaved text and discretized speech, scaling pretraining beyond 100 ...
MIMO is a generalizable model for controllable video synthesis, which can not only synthesize realistic character videos with controllable attributes (i.e., character, motion and scene) provided by ...
Vision-language models (VLMs) have become foundational components for multimodal AI systems, enabling autonomous agents to understand visual environments, reason over multimodal content, and interact ...
One of the defining characteristics of 5G networks has been the integration of massive multiple-input-multiple-output (MIMO) radios into the macro network, in order to increase spectral efficiency and ...
Unlike OFDM and OFDMA, both of which modulate information within the time-frequency domain, OTFS does so within the Delay Doppler domain Certain high mobility environments, such as high-speed trains, ...
The non-orthogonal multiple access (NOMA) scheme has been recognized as a promising candidate for future generation wireless communication networks that require a high data rate and spectral ...
In this paper, a fast temporal multiple sparse Bayesian learning (FTMSBL)-based channel estimation method for underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) systems is ...
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