ISSN: 2277-9655 [Elias* et al., 6(4): April, 2017] Impact Factor: 4.116 IC™ Value: 3.00 CODEN: IJESS7 http: // www.ijesrt.com© International Journal of Engineering Sciences & Research Technology [427] IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY BER ANALYSIS OF SM-MIMO AND CHANNEL ESTIMATED SM-MIMO Sherin P Elias * , Karthika Rajan, Silpa S Prasad Electronics & Communication Engg, Collage of engineering kidangoor, India Faculty, Department of Electronics & Communication Engg, Collage of Engineering, Kidangoor, India DOI: 10.5281/zenodo.556326 ABSTRACT This paper presents a comparison of BER of conventional spatial modulated(SM) multiple input multiple output (MIMO) and channel estimated SM-MIMO. The conventional SM-MIMO multicast system was analyzed on correlated and non-correlated channels. After evaluating the results, we investigate the same for SM-MIMO with channel estimation. Finally simulations are exploited for the evaluation of BER of conventional SM-MIMO and channel estimated SM-MIMO multicast systems and validate the analyses. KEYWORDS: Spatial modulation, multiple input multiple output, correlated, uncorrelated, channel estimation, multicast system. INTRODUCTION Spatial modulation(SM) in MIMO has gaining more attention now a days. Actually SM is a new modulation concept which utilizes spatial and signal constellations for conveying information bits. The distinguishing feature of SM is that at any time instant only one antenna get active, so the power consumption has reduced to a great extent compared to the MIMO system in which all the antennas are active for all the time instances. In SM, a block of any number of information bits is mapped into a constellation point in the signal domain and a constellation point in the spatial domain. At each time instant, only one transmit antenna of the set will be active. The other antennas will transmit zero power. Therefore, ICI at the receiver and the need to synchronize the transmit antennas are completely avoided. At the receiver, maximum likelihood (ML) decoding is used to estimate the transmit antenna number and the symbol. These two estimates are used by the spatial demodulator to retrieve the block of information bits. Thus SM acts as a promising candidate for the emerging MIMO systems. SPATIAL MODULATION At the transmitter of SM what is happening is that, the incoming bits of information are divided into blocks of logNt + logM blocks where Nt is the no of transmitting antennas and M is the size of the complex signal constellation diagram. Then an SM mapper splits each of them into sub blocks of logNt and log2M bits each. The first block represents the antenna from which the transmission has occurred and the second sub block indicate the data. An example for Nt=4 and M=2 is shown below: Figure 1: working of SM ...100110101 … Binary source SM Mapper Antenna selection 11 Signal selection 01