Search: onr:"swepub:oai:lup.lub.lu.se:6cdc4533-8547-4116-b492-6b495a63d765" >
A Cholesky decompos...
A Cholesky decomposition based massive MIMO uplink detector with adaptive interpolation
-
- Gangarajaiah, Rakesh (author)
- Lund University,Lunds universitet,Integrerade elektroniksystem,Forskargrupper vid Lunds universitet,Integrated Electronic Systems,Lund University Research Groups
-
- Prabhu, Hemanth (author)
- Lund University,Lunds universitet,Integrerade elektroniksystem,Forskargrupper vid Lunds universitet,Integrated Electronic Systems,Lund University Research Groups
-
- Edfors, Ove (author)
- Lund University,Lunds universitet,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,Communications Engineering,Lund University Research Groups
-
show more...
-
- Liu, Liang (author)
- Lund University,Lunds universitet,Integrerade elektroniksystem,Forskargrupper vid Lunds universitet,Integrated Electronic Systems,Lund University Research Groups
-
show less...
-
(creator_code:org_t)
- 2017
- 2017
- English.
-
In: IEEE International Symposium on Circuits and Systems : From Dreams to Innovation, ISCAS 2017 - Conference Proceedings - From Dreams to Innovation, ISCAS 2017 - Conference Proceedings. - 9781467368520
- Related links:
-
http://dx.doi.org/10...
-
show more...
-
https://lup.lub.lu.s...
-
https://doi.org/10.1...
-
show less...
Abstract
Subject headings
Close
- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
Publication and Content Type
- kon (subject category)
- ref (subject category)
Find in a library
To the university's database