DocumentCode
3117797
Title
Low complexity V-BLAST for massive MIMO with adaptive modulation and power control
Author
Alnajjar, Khawla A. ; Smith, Peter J. ; Woodward, Graeme K.
Author_Institution
Wireless Res. Centre, Univ. of Canterbury, Christchurch, New Zealand
fYear
2015
fDate
17-19 May 2015
Firstpage
1
Lastpage
4
Abstract
We consider the performance of a low complexity Vertical Bell Laboratories Layered Space Time system with a maximum ratio combining receiver (LC-VBLAST) in an uplink massive multiple-input-multiple-output (MIMO) deployment with single antenna users. This receiver is known to give a similar error rate performance to zero forcing (ZF) for simple systems while reducing complexity. In this paper, we show that LC-VBLAST remains similar to ZF for more complex adaptive modulation systems and in the presence of channel estimation error, LC-VBLAST can be superior. These results are analytically justified and we derive an exhaustive search algorithm for power control (PC) to bound the potential gains of PC. Using this bound, we demonstrate that LC-VBLAST performs well without the need for additional PC.
Keywords
MIMO communication; adaptive modulation; antenna radiation patterns; channel estimation; diversity reception; radio receivers; receiving antennas; search problems; telecommunication power management; LC-VBLAST; adaptive modulation system; channel estimation; exhaustive search algorithm; low complexity vertical bell laboratories layered space time system; massive MIMO deployment; maximum ratio combining receiver; multiple input multiple output deployment; power control; single antenna users; Complexity theory; Interference; MIMO; Modulation; Power control; Receivers; Signal to noise ratio; MRC; Massive MIMO; V-BLAST; ZF; adaptive modulation; power control;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technology Research (ICTRC), 2015 International Conference on
Conference_Location
Abu Dhabi
Type
conf
DOI
10.1109/ICTRC.2015.7156406
Filename
7156406
Link To Document