Low complexity MRC and EGC based receivers for SC-FDE modulations with massive MIMO schemes

Borges, David; Montezuma, Paulo; Dinis, Rui

doi:10.1109/globalsip.2016.7905927

Cited by 26 publications

(23 citation statements)

References 7 publications

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“…The implementation of low resolution ADCs is a starting point for studying lower complexity systems and can be extended to schemes where quantization is not employed, such as Radio-over-Fiber (RoF) [20]. Moreover, it also can be considered as a technique that does not require the inversion of matrices, as Equal Gain Combiner (EGC) [21] and Maximum Ratio Combiner (MRC) [22]. An additional issue would be the extension of these techniques to hybrid analog/digital massive MIMO schemes where several antennas share a single RF chain, as in [23,24].…”

Section: Discussionmentioning

confidence: 99%

Reduced Complexity Detection in MIMO Systems with SC-FDE Modulations and Iterative DFE Receivers

Ribeiro

Guerreiro

Dinis

et al. 2018

JSAN

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This paper considers a Multiple-Input Multiple-Output (MIMO) system with P transmitting and R receiving antennas and different overall noise characteristics on the different receiver antennas (e.g., due to nonlinear effects at the receiver side). Each communication link employs a Single-Carrier with Frequency-Domain Equalization (SC-FDE) modulation scheme, and the receiver is based on robust iterative frequency-domain multiuser detectors based on the Iterative Block Decision Feedback Equalization (IB-DFE) concept. We present low complexity efficient receivers that can employ low resolution Analog-to-Digital Converters (ADCs) and require the inversion of matrices with reduced dimension when the number of receive antennas is larger than the number of independent data streams. The advantages of the proposed techniques are particularly high for highly unbalanced MIMO systems, such as in the uplink of Base Station (BS) cooperation systems that aim for Single-Frequency Network (SFN) operation or massive MIMO systems with much more antennas at the receiver side.

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Section: Discussionmentioning

confidence: 99%

Reduced Complexity Detection in MIMO Systems with SC-FDE Modulations and Iterative DFE Receivers

Ribeiro

Guerreiro

Dinis

et al. 2018

JSAN

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“…m‐MIMO systems can be combined with orthogonal frequency division multiplexing (OFDM) [8] or single‐carrier with frequency‐domain equalisation (SC‐FDE) techniques [10–12]. OFDM is a mature technology where the frequency selective channels between each pair of transmitting (Tx) and receiving (Rx) antennas are turned into a set of parallel flat fading sub‐channels, allowing efficient channel equalisation and the removal of MIMO inter‐stream interference.…”

Section: Introductionmentioning

confidence: 99%

“…This can be particularly critical in m‐MIMO schemes. For this reason, reduced complexity MIMO and m‐MIMO techniques were proposed, namely not requiring matrix inversions [10–12, 16].…”

Section: Introductionmentioning

confidence: 99%

“…We consider different receiver architectures such as the commonly employed zero forcing (ZF) and minimum mean squared error (MMSE) receivers [17–20], and reduced‐complexity receivers that do not require matrix inversions such as the ones based on the equal gain combining (EGC) or maximum ratio combining (MRC) [21]. The later can be combined with iterative interference cancellation schemes to reduce the inherent residual interference levels [10, 11]. Note that besides ZF and MMSE, there is another common receiver employed in SC‐FDE systems, the iterative block decision feedback equalisation (IB‐DFE)[14, 22, 23].…”

Section: Introductionmentioning

confidence: 99%

“…Note that besides ZF and MMSE, there is another common receiver employed in SC‐FDE systems, the iterative block decision feedback equalisation (IB‐DFE)[14, 22, 23]. Since the first iteration of this receiver corresponds to a linear MMSE equaliser (that computes the inversion of the channel matrix), it will be much more complex in comparison with the analysed equalisers and for this reason this technique is not considered in this paper despite its excellent BER results [11]. The complexity counting for MIMO/m‐MIMO systems is addressed in [24–28], with the majority of them analysing only MMSE and ZF based equalisers.…”

Section: Introductionmentioning

confidence: 99%

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Complexity analysis of FDE receivers for massive MIMO block transmission systems

et al. 2019

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Energy Efficient Massive MIMO Point-to-Point Communications with Physical Layer Security: BPSK vs QPSK Decomposition

Borges¹,

Montezuma²,

Dinis³

et al. 2019

IFIP Advances in Information and Communication Technology

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Massive multiple-input multiple-output systems (mMIMO) are the most prevalent candidates for the next generation of wireless communication. Yet even with mMIMO systems the joint optimization of spectral and energy efficiencies can be only attained by combining high order signal constellations and efficient power amplification. In order to push this limitation, the transmitter can spread the information into several amplification branches, which are the result of the decomposition of multilevel constellation symbols into quasi constant envelope signals. Nevertheless, the high number of antennas involved in this type of communication leads to an increase of the channel matrix's size and therefore the complexity of the equalization process can create drawbacks for the power consumption and latency. In this paper we will study the combination of a multi-layer transmitter with a low complexity receivers based on an iterative block decision feedback equalizer (IB-DFE). These receivers avoid the matrix inversion operation in the equalizer the feed-forward by replacing it with an equal gain combiner (EGC) or a maximum ratio combiner (MRC) module. Results show that can be used without penalties on performance provided that the number of antennas involved is high.

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Low complexity MRC and EGC based receivers for SC-FDE modulations with massive MIMO schemes

Cited by 26 publications

References 7 publications

Reduced Complexity Detection in MIMO Systems with SC-FDE Modulations and Iterative DFE Receivers

Reduced Complexity Detection in MIMO Systems with SC-FDE Modulations and Iterative DFE Receivers

Complexity analysis of FDE receivers for massive MIMO block transmission systems

Energy Efficient Massive MIMO Point-to-Point Communications with Physical Layer Security: BPSK vs QPSK Decomposition

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