8 papers
Low-rank Preconditioning in Beamspace Domain For Massive MU-MIMO Long-Term Beamforming
Amirreza Kiani, Ali Rasteh, Marco Mezzavilla +1
Long-term beamforming substantially reduces the channel estimation and inversion overhead of conventional massive MU-MIMO receivers; yet, its construction still hinges on the inver…
Interference Suppression for Massive MU-MIMO Long-Term Beamforming with Matrix Inversion Approximation
Amirreza Kiani, Ali Rasteh, Marco Mezzavilla +1
Long-term beamforming (LTBF) is a widely-used scalable alternative to instantaneous multi-user MIMO processing that leverages slowly varying spatial channel statistics. VLSI implem…
A Self-Calibrating SDR for High Fidelity Beam- and Null-forming Arrays
Yongjun Kim, Aditya Dhananjay, Sundeep Rangan +5
Null forming is increasingly essential in modern wireless systems for spectrum-sharing, anti-jamming, and covert communications in contested and congested environments. Achieving d…
A Spatial Array for Spectrally Agile Wireless Processing
Ali Rasteh, Andrew Hennessee, Ishaan Shivhare +3
Massive MIMO is a cornerstone of next-generation wireless communication, offering significant gains in capacity, reliability, and energy efficiency. However, to meet emerging deman…
Scalable Long-Term Beamforming for Massive Multi-User MIMO
Ali Rasteh, Amirreza Kiani, Marco Mezzavilla +1
Fully digital massive MIMO systems with large numbers (1000+) of antennas offer dramatically increased capacity gains from spatial multiplexing and beamforming. Designing digital r…
Beyond Point Estimates: Likelihood-Based Full-Posterior Wireless Localization
Haozhe Lei, Hao Guo, Tommy Svensson +1
Modern wireless systems require not only position estimates, but also quantified uncertainty to support planning, control, and radio resource management. We formulate localization…