A frequency domain joint MMSE-SIC equalizer for MIMO SC-FDMA LTE-A uplink

Abstract

Single carrier frequency division multiple access (SC-FDMA) has been adopted as the air interface for the uplink transmission in 3GPP long term evolution (LTE) and long term evolution advanced (LTE-A) systems because it has low peak-to average power ratio (PAPR). The performance of SC-FDMA system degrades in frequency selective fading channel because of the use of single carrier. Also, the performance of SC-FDMA system degrades when the orthogonality among subcarriers is lost due to the presence of carrier frequency offsets (CFOs) in the channel. In this paper, we have proposed a joint minimum mean squared error (JMMSE) successive interference cancellation (SIC) equalizer scheme that performs the frequency domain equalization (FDE) as well as the CFOs compensation jointly for multiple input multiple output (MIMO) SC-FDMA based LTE-A uplink system. The bit error rate (BER) performances of MMSE FDE and JMMSE-SIC equalizers have been compared and the simulation results show that the proposed equalizer performs better than the MMSE-FDE equalizer for multi-user (MU) MIMO SC-FDMA system.

Joint low‐complexity nonlinear equalization and carrier frequency offset compensation for multiple‐input multiple‐output orthogonal frequency division multiplexing communication systems

“…Moreover, this scheme has two drawbacks: the high complexity and the need for estimation of the SNR to work properly. In Reference , the authors presented a joint maximum likelihood (ML) and MMSE‐SIC equalizer that performs the equalization process, and gives a 2‐dB reduction in the required SNR to achieve the same BER performance of the corresponding MMSE‐SIC used in Reference . The ML is considered as the optimum detection scheme, but it requires a huge computational complexity as the number of antennas and/or modulation orders increases .…”

“…The equalizer presented in Reference can be implemented with lower complexity using partial ML decoding. Moreover, this equalizer has three drawbacks: still high complexity compared with that of Reference , the need for the estimation of the SNR to work properly, and the ignorance of the CFO effect. In Reference , the authors presented SIC based on a hybrid approach of ZF, and MMSE equalization.…”

Joint low‐complexity equalisation and CFO compensation for DCT–OFDM communication systems based on SIC

“…In [43], the authors presented an MMSE–SIC algorithm. It performs the equalisation process and takes the CFO effect into account.…”

“…The proposed JLRZF–SIC scheme does not require the estimation of the SNR. Also, it differs from those in [43–45], as it can be constructed with lower complexity using BMA [24]. The list of symbols used in this paper is given in Nomenclature.…”

Novel Turbo Receiver for MU-MIMO SC-FDMA System

“…Simulation results show that the proposed scheme outperforms the TEQ‐CP. Several techniques have been investigated for block transmission without CP‐insertion . Reference proposed block transmission without CP‐insertion by assuming that the previous component was perfectly cancelled, where the Bayesian linear unbiased estimation (BLUE) approach was utilized to predict the interference components from the future block.…”