Performance Analysis on Different Modulation Techniques of MIMO in Multipath Fading Channel

Abstract

This paper presents performance comparison of various modulation techniques in Rayleigh fading channel. In the comparison, the space time coding has been used. The performance comparison are made on the basis of bit error rate(BER) and symbol error rate(SER) performance matrices over Rayleigh fading channel with BPSK,QPSK,8PSK and QAM modulation technique. The comparison results shows that in Rayleigh fading the bit error rate and symbol error rate is least for QAM modulation technique as compared to other three modulation techniques i.e. BPSK, QPSK and 8PSK.

Performance of MIMO Systems Using Space Time Block Codes (STBC)

“…Compiling error control coding with modulation and transmit diversity as a single block needs to be performed with space time codes. Space time coding makes it possible to achieve coding gain as well as diversity benefits without bandwidth expansion [3]. Some basic fundamental concepts of MIMO systems begin with understanding how they are used in the field.…”

“…In Figure 9, a simple flow chart of the previous MATLAB examples with QPSK modulation is shown. Some other analysis one can perform is in [3], where the calculation of the capacity and symbol error probability and bit-error probability are used. The capacity of MIMO systems using Rayleigh fading channels shows that multiple antennas increase capacity as well as increasing the number of receive antennas.…”

“…The mapper takes the information source data and generates new sequences of blocks with each block made up of complex symbols (M). All the symbols in a particular column of the transmission matrix are pulse shaped and modulatedinto a form suitable for simultaneous transmission over the channel by the transmit antennas[3]. The last part is the encoder.…”

BER Evaluation in LTE SC-FDMA under Multipath Channels

“…) The value of specifies the ratio of energy per bit and noise power spectral density ratio. In fact, / is the normalized SNR which is known as "SNR per bit", and is a vital factor in digital communication [19].…”

“…The equalizer coefficients E(m) are defined to reduce the mean square error between the primary signal and the equalized signal. The E(m) can be computed based on the frequency domain equalizer (FDE) in two ways [19] which are ZFE and MMSE. Equation (3) illustrates computation of E(m) based-MMSE domain [18].…”