Backward Recursion in Layered Space-Time Non-linear Interference Cancellation Detectors

Freitas, Walter C.; Moreira, Darlan C.; Cavalcante, Charles C.; Almeida, André L. F. de

doi:10.14209/jcis.2011.4

Cited by 3 publications

(4 citation statements)

References 5 publications

(10 reference statements)

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“…In general, nonlinear detection techniques achieve better performance than linear ones at a cost of increasing the computation burden [13]. We show in this section a nonlinear solution that is a modification of the classical nonlinear SIC algorithm.…”

Section: Cancellation Of Multi-layer Interferencementioning

confidence: 99%

“…To deal with the SIC limitation, we use the BRSIC algorithm proposed in [13]. While the first one has a forward recursion loop that cancels out part of inter-layer interference, the second one adds a backward recursion loop to remove the remaining inter-layer interference at the output of the first loop.…”

Section: Cancellation Of Multi-layer Interferencementioning

confidence: 99%

“…Therefore, the use of HB increases the correct decision rate of the BRSIC receiver, i.e., the bit error rate (BER) decreases. A more detailed description of such an algorithm is found in [13] and [26].…”

Section: Cancellation Of Multi-layer Interferencementioning

confidence: 99%

“…Therefore, the proposed solution exploits jointly the beamforming, spatial, and diversity gains. The receiver employs a decoder that implements a nonlinear algorithm called backward recursion successive interference cancellation (BRSIC), which was proposed in [13]. This algorithm is an enhanced version of the well known successive interference cancellation (SIC) which is used as a VBLAST detection solution as shown in [14]- [16].…”

Section: Introductionmentioning

confidence: 99%

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Hybrid Beamforming with G2+1+1 Transmission Scheme and Modified SIC Design for Milimeter Wave Channel

Caldas

Araújo

Freitas

2017

JCIS

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Abstract-The use of massive multiple input multiple output (MIMO) has been considered as a key enabler to achieve the 5G requirements [1]. With the large array of antennas, the beamformers' uses have become very attractive, specially when the energy is concentrated in a specific direction. However, implementing large arrays becomes prohibitive since the digitalanalog converters (DAC) are power hungry devices connected to every radio frequency (RF) chain. So to deal with this bottleneck, the number of RF chains is reduced by using the hybrid beamforming (HB) solution whose implementation enables us to use fewer RF chains than the digital solution while maintaining a high number of antennas. In this work, we propose to extend a diversity-multiplexing transmission scheme called as G2+1+1 for massive MIMO systems in millimeter wave (mmWave) channel. To implement such scheme, we design a Hybrid Beamforming at the base station and a nonlinear decoder at the receiver. Compared with the traditional G2+1+1, our transmission scheme combines diversity, multiplexing and array gains into one unique device. We show in our simulations that our scheme outperforms in terms of bit-error rate (BER) other solutions that only exploit massive MIMO multiplexing gain. Such results show that the proposed solution is very attractive to increase the system reliability and provides enhanced robustness in low and high SNR scenarios.

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Section: Cancellation Of Multi-layer Interferencementioning

confidence: 99%

Section: Cancellation Of Multi-layer Interferencementioning

confidence: 99%