DocumentCode
25341
Title
Error Probability and Capacity Analysis of Generalised Pre-Coding Aided Spatial Modulation
Author
Rong Zhang ; Lie-Liang Yang ; Hanzo, Lajos
Author_Institution
Commun., Signal Process. & Control, Univ. of Southampton, Southampton, UK
Volume
14
Issue
1
fYear
2015
fDate
Jan. 2015
Firstpage
364
Lastpage
375
Abstract
The recently proposed multiple input multiple output (MIMO) transmission scheme termed as generalized pre-coding aided spatial modulation (GPSM) is analyzed, where the key idea is that a particular subset of receive antennas is activated and the specific activation pattern itself conveys useful implicit information. We provide the upper bound of both the symbol error ratio (SER) and bit error ratio (BER) expression of the GPSM scheme of a low-complexity decoupled detector. Furthermore, the corresponding discrete-input continuous-output memoryless channel (DCMC) capacity as well as the achievable rate is quantified. Our analytical SER and BER upper bound expressions are confirmed to be tight by our numerical results. We also show that our GPSM scheme constitutes a flexible MIMO arrangement and there is always a beneficial configuration for our GPSM scheme that offers the same bandwidth efficiency as that of its conventional MIMO counterpart at a lower signal to noise ratio (SNR) per bit.
Keywords
MIMO communication; channel capacity; error statistics; modulation; precoding; receiving antennas; BER; GPSM scheme; MIMO transmission scheme; SER; SNR; bit error ratio; capacity analysis; discrete-input continuous-output memoryless channel capacity; error probability; generalised pre-coding aided spatial modulation; multiple input multiple output transmission scheme; receive antennas; signal to noise ratio; symbol error ratio; Bandwidth; Bit error rate; Complexity theory; MIMO; Signal to noise ratio; Transmitters; Upper bound; MIMO; capacity; error probability; generalised pre-coded spatial modulation; spatial modulation;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/TWC.2014.2347297
Filename
6877673
Link To Document