Approximate expressions for BER performance in downlink mmWave MU‐MIMO hybrid systems with different data detection approaches

Ortega, Alvaro Javier; Sampaio‐Neto, Raimundo; David, Rodrigo Pereira

doi:10.1049/iet-com.2019.1235

Cited by 3 publications

(2 citation statements)

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“…Note that in () the approximation ( a ) considers that

{boldF}_{boldRF} {boldF}_{boldRF}^{boldH} \approx {boldI}_{N_{t}}

, which has been used by other authors, for example, [5, 18, 38], and in [23], it was proved that in fact, this product tends to be an identity matrix as the number of antenna elements increases. Therefore, the analog combiner design problem for the user k can be formulated as follows

\begin{matrix} true \\ right {boldW}_{{RF}_{k}}^{*} & left = \underset{{boldW}_{{RF}_{k}}}{arg max} tr \{W_{{boldRF}_{boldk}}^{H} H_{k} H_{k}^{H} W_{{boldRF}_{boldk}}\} \\ left s.t. false∥ {(W_{{boldRF}_{boldk}})}_{i, j} false∥ = 1 / \sqrt{N_{r}} . \end{matrix}

…”

Section: Analog Processingmentioning

confidence: 99%

Hierarchical optimization: A hybrid processing for downlink massive MU‐MIMO mmWave systems

Ortega¹

2021

IET Communications

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Communications using the millimeter wave (mmWave) spectrum are a mainstream technology of the next generation systems due to their huge available bandwidth. However, the mmWave band will experience much more propagation loss than a low-frequency band. Conventional precoding techniques are impractical in mmWave scenarios due to manufacturing costs and power consumption. Hybrid alternatives have been considered as a promising technology to provide a compromise between hardware complexity and system performance by reducing the number of radio-frequency (RF) chains. In this paper, a hybrid processing design for downlink in mmWave scenarios is proposed, where the number of RF chains is reduced to the number of data streams. The precodification process is made by a three-stage-based hybrid precoder, whereas in the terminals, the equalization process only requires a low complex analog combiner. The three stages of the hybrid precoder are designed by a hierarchical strategy. The first stage addresses the phase shifters aiming to maximize the sum-rate system, whereas the second and third stages are dedicated to mitigating the inter-user interference effects. The proposed methodology gets a robust signal processing that can greatly mitigate the side effects of hardware reduction. Numerical results in terms of bit error rate (BER) and sum-rate evidence that the proposed method not only overcomes other hybrid precoders/combiners but also reaches the same performance as a fully digital technique in some scenarios.

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“…Note that in () the approximation ( a ) considers that

{boldF}_{boldRF} {boldF}_{boldRF}^{boldH} \approx {boldI}_{N_{t}}

\begin{matrix} true \\ right {boldW}_{{RF}_{k}}^{*} & left = \underset{{boldW}_{{RF}_{k}}}{arg max} tr \{W_{{boldRF}_{boldk}}^{H} H_{k} H_{k}^{H} W_{{boldRF}_{boldk}}\} \\ left s.t. false∥ {(W_{{boldRF}_{boldk}})}_{i, j} false∥ = 1 / \sqrt{N_{r}} . \end{matrix}

…”

Section: Analog Processingmentioning

confidence: 99%

Hierarchical optimization: A hybrid processing for downlink massive MU‐MIMO mmWave systems

Ortega¹

2021

IET Communications

Self Cite

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show abstract

“…Note that all expressions derived so far can be applied to an arbitrary modulation and precoding/combining [45]. However, if the modulation QPSK or BPSK is used, an approximation to the BER performance of the system is given by Chapter 6.…”

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confidence: 99%