Frequency-Domain Detection without Matrix Inversions for mmWave Communications with Correlated Massive MIMO Channels

Bento, Pedro; Pereira, A. J. S. C.; Dinis, Rui; Gomes, Marco; Silva, Vítor

doi:10.1109/vtcspring.2017.8108380

Cited by 6 publications

(11 citation statements)

References 17 publications

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“…In fact, either for ideal or unideal channel estimation, by improving receiving diversity the iterative receivers are able to separate efficiently the received data streams and therefore achieve enhanced BER performances, with the capacity of the iterative MRC and EGC methods to converge highlighted in [10–12] as well as in Figs. 8 and 9.…”

Section: Performance Resultsmentioning

confidence: 99%

“…Perfect separation of the

N_{T}

transmitted streams is required and leveraged by the fact that both MRC and EGC produce accurate approximations when

N_{R} ≫ 1

(i.e. for m‐MIMO systems) and the channels between different transmit and receive antennas have small correlation [10–12], being possible to achieve

boldΓ F_{k} H_{k} ≃ N_{T} bold-italicI

. For this reason, the optimum value of

B_{k}

must be given by

\begin{matrix} right left right left right left right left right left right left0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em3pt \\ {bold-italicB}_{k} = {bold-italicF}_{k} {bold-italicH}_{k} - {bold-italicI}_{N_{T}} . \end{matrix}

…”

Section: Receiver Designmentioning

confidence: 99%

“…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%

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Complexity analysis of FDE receivers for massive MIMO block transmission systems

et al. 2019

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Section: Performance Resultsmentioning

confidence: 99%

“…Perfect separation of the

N_{T}

transmitted streams is required and leveraged by the fact that both MRC and EGC produce accurate approximations when

N_{R} ≫ 1

(i.e. for m‐MIMO systems) and the channels between different transmit and receive antennas have small correlation [10–12], being possible to achieve

boldΓ F_{k} H_{k} ≃ N_{T} bold-italicI

. For this reason, the optimum value of

B_{k}

must be given by

\begin{matrix} right left right left right left right left right left right left0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em3pt \\ {bold-italicB}_{k} = {bold-italicF}_{k} {bold-italicH}_{k} - {bold-italicI}_{N_{T}} . \end{matrix}

…”

Section: Receiver Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Complexity analysis of FDE receivers for massive MIMO block transmission systems

et al. 2019

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“…Therefore, receivers that do not require matrix inversions must be used to reduce system complexity, while still able to achieve good performance. Iterative receivers based on Maximum Ratio Combining (MRC) and Equal Gain Combining (EGC) [18]- [21] concepts are interesting because they do not require matrix inversions. Although the residual interference levels (both interference between different transmitted streams and Inter-Symbol Interference (ISI)) can be high with such low complexity receivers, they can achieve very good performance when N R N T , which can be ensured in m-MIMO systems.…”

Section: Introductionmentioning

confidence: 99%

Low-Complexity Equalisers for Offset Constellations in Massive MIMO Schemes

et al. 2019

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Massive multi-input-multi-output (m-MIMO) schemes require low-complexity implementations at both the transmitter and the receiver side, especially for systems operation at millimeter wave (mmWave) bands. In this paper, we consider the use of offset constellations in m-MIMO systems operating at mmWave frequencies. These signals are designed to have either an almost constant envelope or be decomposed as the sum of constant-envelope signals, making them compatible with strongly nonlinear power amplifiers, which can have low-implementation complexity and high amplification efficient, making them particularly interesting for mmWave communications. We design and evaluate low-complexity frequency-domain receivers for offset signals. It is shown that the proposed receivers can have excellent performance/complexity trade-offs in m-MIMO scenarios, making them particularly interesting for future wireless systems operating at mmWave bands.INDEX TERMS Offset modulations, massive MIMO, mmWave communications, frequency-domain receivers.

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Two-Step Analog-Digital Multiuser Equalizer for Hybrid Precoded mmWave Communications

Magueta

Castanheira

Silva

et al. 2018

2018 IEEE Globecom Workshops (GC Wkshps)

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Frequency-Domain Detection without Matrix Inversions for mmWave Communications with Correlated Massive MIMO Channels

Cited by 6 publications

References 17 publications

Complexity analysis of FDE receivers for massive MIMO block transmission systems

Complexity analysis of FDE receivers for massive MIMO block transmission systems

Low-Complexity Equalisers for Offset Constellations in Massive MIMO Schemes

Two-Step Analog-Digital Multiuser Equalizer for Hybrid Precoded mmWave Communications

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