Two Low Complexity MRC and EGC Based Receivers for SC-FDE Modulations with Massive MIMO Schemes

Borges, David; Montezuma, Paulo; Ferreira, Afonso; Dinis, Rui

doi:10.1007/s11265-018-1335-1

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…This type of receiver demonstrates much better performance when compared to a non-iterative receiver. IB-DFE might be considered a form of turbo-equalization [27].…”

Section: Equal Gain Combiningmentioning

confidence: 99%

An Assessment of Receiver Algorithms for Distributed Massive MIMO Systems: Investigating Design Solutions and Performance

Gashtasbi,

Marques da Silva,

Dinis

2024

Electronics

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This study investigates receiver design solutions for distributed Massive Multiple Input Multiple Output (D-m MIMO) systems, taking into account parameters such as number of access points as well as concerns related to channel estimates that use single-carrier frequency-domain equalization (SC-FDE). A significant contribution of this research is the integration of Low-Density Parity-Check (LDPC) codes to simplify coding complexity and enhance communication efficiency. The research examines different receiver designs, such as spatial antenna correlation and sophisticated channel estimation methods. The authors propose integrating LDPC codes into the receiver architecture to simplify computations and enhance error correction and decoding. Moreover, the paper examines performance evaluation measures and approaches, highlighting the trade-offs among complexity, spectral efficiency, and error performance. The comparative analysis indicates the benefits, in terms of performance, of incorporating LDPC codes and improving system throughput and dependability. We examine four distinct receiver algorithms: zero-forcing (ZF), minimum mean square error (MMSE), maximum ratio combining (MRC), and equal gain combining (EGC). The study shows that MRC and EGC receivers work well in D-m MIMO because they make the receiver system less computationally demanding.

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“…This type of receiver demonstrates much better performance when compared to a non-iterative receiver. IB-DFE might be considered a form of turbo-equalization [27].…”

Section: Equal Gain Combiningmentioning

confidence: 99%

An Assessment of Receiver Algorithms for Distributed Massive MIMO Systems: Investigating Design Solutions and Performance

Gashtasbi,

Marques da Silva,

Dinis

2024

Electronics

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“…, and Γ X k is assumed to be equal for all the values of t and r. The LMMSE for the massive MIMO low complex receiver is given in [23],…”

Section: Iterative Block Decision Feedback Equalization Decodermentioning

confidence: 99%

Energy Efficient Secure Communication Model against Cooperative Eavesdropper

et al. 2021

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In a wiretap channel system model, the jammer node adopts the energy-harvesting signal as artificial noise (jamming signal) against the cooperative eavesdroppers. There are two eavesdroppers in the wiretap channel: eavesdropper E1 is located near the transmitter and eavesdropper E2 is located near the jammer. The eavesdroppers are equipped with multiple antennas and employ the iterative block decision feedback equalization decoder to estimate the received signal, i.e., information signal at E1 and jamming signal at E2. It is assumed that E1 has the channel state information (CSI) of the channel between transmitter and E1, and similarly, E2 has the CSI of channel between jammer and E2. The eavesdroppers establish communication link between them and cooperate with each other to reduce the information signal interference at E2 and jamming signal interference at E1. The performance of decoders depends on the signal to interference plus noise ratio (SINR) of the received signal. The power of information signal is fixed and the power of the jamming signal is adjusted to improve the SINR of the received signal. This research work is solely focused on optimizing the jamming signal power to degrade the performance of cooperative eavesdroppers. The jamming signal power is optimized for the given operating SINR with the support of simulated results. The jamming signal power optimization leads to better energy conservation and degrades the performance of eavesdroppers.

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“…An additional problem associated to m-MIMO is that one needs to employ simple techniques to separate data streams, namely, avoiding the matrix inversions inherent to conventional MIMO receivers, to reduce the implementation complexity, as proposed in [14] as a postprocessing approach.…”

Section: Introductionmentioning

confidence: 99%

Implicit Pilots for an Efficient Channel Estimation in Simplified Massive MIMO Schemes with Precoding

Silva

Dinis

Guerreiro

2019

International Journal of Antennas and Propagation

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This paper proposes a new channel estimation scheme based on implicit pilots, optimized for a simplified massive multiple input, multiple output (MIMO), implemented with precoding, combined with Single-Carrier with Frequency-Domain Equalization (SC-FDE) modulations. We propose an iterative receiver that considers an iterative detection with interference cancellation and channel estimation. The channel estimates are usually obtained with the help of pilot symbols and/or training sequences multiplexed with data symbols. Since the required overheads in massive MIMO schemes can be too high, leading to spectral degradation, the use of superimposed pilots (i.e., pilots added to data) is an efficient alternative. Three different types of preprocessing algorithms are considered in this paper: Zero-Forcing Transmitter (ZFT), Maximum Ratio Transmitter (MRT), and Equal Gain Transmitter (EGT). The main advantage of MRT and EGT is that they do not require matrix inversions. Nevertheless, some level of interference is generated in the decoding process. Such interference is mitigated by employing an optimized iterative receiver. By employing the proposed implicit pilots, the performance of MRT and EGT is very close to the Matched Filter Bound just after a few iterations, even when the number of transmit or receiver antennas is not much higher than the number of data streams.

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Two Low Complexity MRC and EGC Based Receivers for SC-FDE Modulations with Massive MIMO Schemes

Cited by 6 publications

References 12 publications

An Assessment of Receiver Algorithms for Distributed Massive MIMO Systems: Investigating Design Solutions and Performance

An Assessment of Receiver Algorithms for Distributed Massive MIMO Systems: Investigating Design Solutions and Performance

Energy Efficient Secure Communication Model against Cooperative Eavesdropper

Implicit Pilots for an Efficient Channel Estimation in Simplified Massive MIMO Schemes with Precoding

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