7 papers
Design Trade-offs for Decentralized Baseband Processing in Massive MU-MIMO Systems
Kaipeng Li, James McNaney, Chance Tarver +4
Massive multi-user (MU) multiple-input multiple-output (MIMO) provides high spectral efficiency by means of spatial multiplexing and fine-grained beamforming. However, conventional…
A 354Mb/s 0.37mm^2 151mW 32-User 256-QAM Near-MAP Soft-Input Soft-Output Massive MU-MIMO Data Detector in 28nm CMOS
Charles Jeon, Oscar Castañeda, Christoph Studer
This paper presents a novel data detector ASIC for massive multiuser multiple-input multiple-output (MU-MIMO) wireless systems. The ASIC implements a modified version of the large-…
Decentralized Coordinate-Descent Data Detection and Precoding for Massive MU-MIMO
Kaipeng Li, Oscar Castaneda, Charles Jeon +2
Massive multiuser (MU) multiple-input multiple-output (MIMO) promises significant improvements in spectral efficiency compared to small-scale MIMO. Typical massive MU-MIMO base-sta…
Optimal Data Detection in Large MIMO
Charles Jeon, Ramina Ghods, Arian Maleki +1
Large multiple-input multiple-output (MIMO) appears in massive multi-user MIMO and randomly-spread code-division multiple access (CDMA)-based wireless systems. In order to cope wit…
Decentralized Equalization with Feedforward Architectures for Massive MU-MIMO
Charles Jeon, Kaipeng Li, Joseph R. Cavallaro +1
Linear data-detection algorithms that build on zero forcing (ZF) or linear minimum mean-square error (L-MMSE) equalization achieve near-optimal spectral efficiency in massive multi…
Feedforward Architectures for Decentralized Precoding in Massive MU-MIMO Systems
Kaipeng Li, Charles Jeon, Joseph R. Cavallaro +1
Massive multi-user multiple-input multiple-output (MU-MIMO) enables significant gains in spectral efficiency and link reliability compared to conventional small-scale MIMO technolo…