Title
A Cholesky decomposition based massive MIMO uplink detector with adaptive interpolation
Abstract
An adaptive uplink detection scheme for a Massive MIMO (MaMi) base station serving up to 16 users is presented. Considering user distribution in a cell, selective matched filtering (MF) is proposed for non-interference limited users and a Cholesky decomposition (CD) based zero-forcing (ZF) detector is implemented for the remaining users. Channel conditions such as coherence bandwidth are exploited to lower computational complexity by interpolating CD outputs. Performance evaluations on measured MaMi channels indicate a reduction in computation count by 60 times with a less than 1 dB loss at an uncoded bit error rate of 10-3. For the CD, a reconfigurable processor optimized for 8×8 matrices with block decomposition extension to support up to 16×16 matrices is presented. Circuit level optimizations in 28 nm FD-SOI resulted in an energy of 1.4 nJ/CD at 400 MHz, and post-layout simulations indicate a 50% reduction in power dissipation when operating with the proposed interpolation based detection scheme compared to traditional ZF detection.
Year
DOI
Venue
2017
10.1109/ISCAS.2017.8050312
2017 IEEE International Symposium on Circuits and Systems (ISCAS)
Keywords
Field
DocType
Cholesky decomposition,massive MIMO uplink detector,adaptive interpolation,adaptive uplink detection scheme,massive MIMO base station,cell distribution,selective matched filtering,noninterference limited users,zero-forcing detector,MaMi channels,bit error rate,circuit level optimizations,FD-SOI,interpolation based detection scheme
Computer science,Control theory,Interpolation,Signal-to-noise ratio,Matrix decomposition,Coherence bandwidth,MIMO,Electronic engineering,Cholesky decomposition,Bit error rate,Telecommunications link
Conference
ISSN
ISBN
Citations 
0271-4302
978-1-5090-1427-9
0
PageRank 
References 
Authors
0.34
4
4
Name
Order
Citations
PageRank
Rakesh Gangarajaiah1173.61
Hemanth Prabhu2435.22
Ove Edfors32221134.61
Liang Liu49518.47