Effect of Spatial Correlation on the Performance of Non-coherent Massive MIMO based on DMPSK

Morales, Manuel José López; Chen‐Hu, Kun; Armada, Ana García

doi:10.1109/globecom46510.2021.9685812

Cited by 3 publications

(5 citation statements)

References 17 publications

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“…Assuming 𝛼 𝑎 = 1 for all APs, the results agree with those obtained in [12]. Furthermore, for 𝐴 = 1 and uncorrelated Rayleigh fading h𝑎 , 𝜎 2 ℎ,𝑎 R 𝑎 = (0 𝑎 , I 𝑎 ), we obtain the results of Appendix A of [4].…”

Section: G Remarks About the Effects Of Spatial Correlationsupporting

confidence: 84%

“…Both coherent and NC schemes experience performance degradation in spatially correlated channels [12], even though NC schemes have been proven to be more robust than coherent ones to these effects [13]. This kind of channel is typical in mSIMO deployments.…”

Section: Introductionmentioning

confidence: 99%

“…The spatial correlation in the AP is caused by the antenna coupling, the antenna array geometry and the clustered propagation channel [3], [14], [15]. Besides this, it was shown in [12] that the NC scheme can benefit from receiving the signal in a set of geographically distributed and coordinated APs since their channels are nearly uncorrelated and then, the problem of spatial correlation is overcome. Furthermore, being able to receive the signal in several coordinated APs results in larger virtual antenna arrays, which will necessarily outperform the single-cell massive SIMO (SC-mSIMO).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Non-Coherent Cell-Free Large SIMO Using DMPSK

Lopez-Morales,

Chen-Hu,

Alvarez-Polegre

et al. 2024

IEEE Trans. Veh. Technol.

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A cell-free non-coherent (NC) massive single-inputmultiple-output (SIMO) system is proposed in a wireless uplink where a single-antenna user transmits to several multi-antenna access points (APs). NC detection using differential phase shift keying is the utilized detection technique in this system. It has the advantage that no channel state information (CSI) is required in the APs for signal reception, so it is beneficial with respect to coherent massive MIMO in stringent scenarios where channel state information has very low quality. Additionally, it outperforms the single-AP NC massive SIMO due to the increased number of antennas to average the received signal. The distribution of the received symbol of the NC multi-AP processing is analytically derived to show that several geographically distributed antennas result in a distribution with smaller variances. Several AP selection techniques to maximize the performance and minimize the complexity of the scheme are also proposed. Numerical results are provided to demonstrate the validity of the analysis and to show that the proposal outperforms both the coherent CF schemes in scenarios with stringent conditions and the single-AP NC massive SIMO.

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Section: G Remarks About the Effects Of Spatial Correlationsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Non-Coherent Cell-Free Large SIMO Using DMPSK

Lopez-Morales,

Chen-Hu,

Alvarez-Polegre

et al. 2024

IEEE Trans. Veh. Technol.

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“…In the UL, each user u transmits a symbol x n,k u , containing either data or a pilot, placed in an orthogonal subcarrier k at time instant n. The propagation channel between the user u and the BS at time instant n and subcarrier k is represented by h n,k u of size (R × 1) where h n,k u ∼ CN (0, I R ) is modeling a Rayleigh distributed channel, as defined in [25]. Following [19], [26], the channel coefficients suffer from time variability and an autoregressive model approximates the temporally correlated fading channel coefficients of VOLUME 10, 2022 subcarrier k at time instant n as…”

Section: System Model For Tdd Coherent Massive Mimomentioning

confidence: 99%

Channel Estimation and Prediction in a Pilot-Less Massive MIMO TDD Using Non-Coherent DMPSK

Morales

Armada

2022

IEEE Access

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A novel time division duplex massive MIMO technique is proposed based on performing a pilot-less channel estimation in the uplink (UL) utilizing reconstructed differentially encoded data. Spatial multiplexing and differentially encoded data is applied both in the UL and in the downlink (DL). In this system, a reference signal is the first one of the differentially encoded streams in the UL and DL, and the pilots for data estimation are avoided while maintaining spatial multiplexing capabilities. To improve the channel estimation we propose to use a linear Wiener filter and we also propose different symbols placing strategies in an OFDM grid. We also propose a detection improvement of the UL data utilizing the predicted channels. We perform an analysis of the MSE of the blind channel estimation using the differentially encoded data and analyze the symbol-error-rate for both the UL and the DL when channel aging is considered. The analysis is corroborated via numerical results and the proposed scheme is shown to outperform its pilot-based counterpart.

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“…In the UL, each user 𝑢 transmits a symbol 𝑥 𝑘 𝑛 , containing either data or a pilot, placed in an orthogonal subcarrier 𝑘 at time instant 𝑛. The propagation channel between the user 𝑢 and the BS at time instant 𝑛 and subcarrier 𝑘 is represented by h 𝑘 𝑛 of size (𝑅 × 1) where h 𝑘 𝑛 ∼ CN (0, I) is modeling a Rayleigh distributed channel, as defined in [9]. Following [10], [11], the channel coefficients suffer from time variability and an autoregressive model approximates the temporally correlated fading channel coefficients of subcarrier 𝑘 at time instant 𝑛 as…”

Section: System Model a Baseline Tdd Coherent Massive Mimomentioning

confidence: 99%

Pilot-less Massive MIMO TDD System with Blind Channel Estimation using Non-coherent DMPSK

Morales

Chen‐Hu

Armada

2022

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

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A novel time division duplex massive MIMO approach based on performing a blind channel estimation in the uplink using differentially encoded data and a precoding in the downlink, also with differentially encoded data, is proposed. In this system, the use of any type of explicit pilot symbol is completely avoided while maintaining spatial multiplexing capabilities in the downlink. We perform an analysis of the full system in terms or signal-to-interference-and-noise ratio (SINR) for the uplink and the downlink. The performance of the channel estimation using differentially encoded data is also analyzed, since it affects the performance of the downlink data transmission. A multi-user allocation strategy in an OFDM grid is proposed. The analysis is corroborated via numerical results and the proposed scheme is shown to outperform its coherent counterpart.

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Effect of Spatial Correlation on the Performance of Non-coherent Massive MIMO based on DMPSK

Cited by 3 publications

References 17 publications

Non-Coherent Cell-Free Large SIMO Using DMPSK

Non-Coherent Cell-Free Large SIMO Using DMPSK

Channel Estimation and Prediction in a Pilot-Less Massive MIMO TDD Using Non-Coherent DMPSK

Pilot-less Massive MIMO TDD System with Blind Channel Estimation using Non-coherent DMPSK

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