Noncoherent Massive<scp>MIMO</scp>

Baeza, Víctor Monzón; Armada, Ana García

doi:10.1002/9781119471509.w5gref027

Cited by 6 publications

(5 citation statements)

References 79 publications

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“…This approach will not work when CSI is unavailable or if there are errors in detecting that information.When channel estimation errors or factors such as pilot contamination render the received CSI unusable, the system may fail to operate smoothly. Noncoherent (NC) detection technology [41,42] may offer an effective solution to this problem. This technique does not require the receiver to accurately understand the channel's state information, but rather relies on the statistical properties of the signal for demodulation.…”

Section: Discussionmentioning

confidence: 99%

Multi-WiIR: Multi-User Identity Legitimacy Authentication Based on WiFi Device

Wei,

Dong

2024

Future Internet

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With the proliferation of WiFi devices, WiFi-based identification technology has garnered attention in the security domain and has demonstrated initial success. Nonetheless, when untrained illegitimate users appear, the classifier tends to categorize them as if they were trained users. In response to this issue, researchers have proposed identity legitimacy authentication systems to identify illicit users, albeit only applicable to individual users. In this article, we propose a multi-user legitimacy authentication system based on WiFi, termed Multi-WiIR. Leveraging WiFi signals, the system captures users’ walking patterns to ascertain their legitimacy. The core concept entails training a multi-branch deep neural network, designated WiIR-Net, for feature extraction of individual users. Binary classifiers are then applied to each user, and legitimacy is established by comparing the model’s output to predefined thresholds, thus facilitating multi-user legitimacy authentication. Moreover, the study experimentally investigated the impact of the number of legitimate individuals on accuracy rates. The results demonstrated that The Multi-WiIR system showed commendable performance with low latency, being capable of conducting legitimacy recognition in scenarios involving up to four users, with an accuracy rate reaching 85.11%.

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Section: Discussionmentioning

confidence: 99%

Multi-WiIR: Multi-User Identity Legitimacy Authentication Based on WiFi Device

Wei,

Dong

2024

Future Internet

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“…Nevertheless, the proposed technique that illustrated this idea required a very large number of antennas to get an acceptable performance. Then, [12] - [16] proposed the use of DPSK together with an averaging process performed at the base station (BS) over the spatial domain after non-coherent demodulation, in order to mitigate the effects of the chan-nel and noise. Moreover, they proposed the idea of multiplexing the data of each user equipment (UE) in the constellation domain based on a joint-symbol, which is a superposition of the symbols sent by several UEs.…”

Section: Non-coherent Demodulation Schemes (Ncds)mentioning

confidence: 99%

“…This proposal cannot only signi icantly reduce the number of reference symbols, but it is also capable of taking all advantages of a frequency domain scheme. Moreover, in the case of time-varying channels, only those complex symbols placed at both edge subcarriers may suffer from an additional degradation, that can be easily mitigated by using some channel coding [16], [32] or spreading [33] techniques. For the sake of conciseness and to ease the notation, the frequency domain scheme is the chosen one for the rest of the paper.…”

Section: Integration Of Differential Encoding In Ofdm For High Mobility Scenariosmentioning

confidence: 99%

Non-coherent massive MIMO-OFDM for communications in high mobility scenarios

Chen‐Hu¹,

Liu²,

Armada³

2020

ITU J-FET

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Under scenarios of high mobility, the traditional coherent demodulation schemes (CDS) have a limited performance, due to the fact that reference signals cannot effectively track the variations of the channel with an affordable overhead. As an alternative solution, non coherent demodulation schemes (NCDS) based on differential modulation have been proposed. Even in the absence of reference signals, they are capable of outperforming the CDS with a reduced complexity. The literature on NCDS laid the theoretical foundations for simplified channel and signal models, often single carrier and spatially uncorrelated flat fading channels. In this work, the most recent results assuming orthogonal frequency division multiplexing (OFDM) signaling and realistic channel models are explained, and the impact of some hardware impairments such as the phase noise (PN) and the non linear high power amplifier (HPA) are also considered. Moreover, new potential research lines are also highlighted.

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“…In this context, studying multi-user detection algorithms for impact noise environments becomes crucial. For example, the non-coherent solution proposed in the literature [15] to address the multi-user detection problem in impact noise environments proves to be an effective measure. Non-coherent detection demonstrates greater robustness in handling complex interference scenarios and can better adapt to actual transmission processes.…”

Section: Introductionmentioning

confidence: 99%

Multi-User Detection Based on Improved Cheetah Optimization Algorithm

Chen,

Ji,

Sun

2024

Electronics

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Targeting the issues of slow speed and inadequate precision of optimal solution calculation for multi-user detection in complex noise environments, this paper proposes a multi-user detection algorithm based on a Hybrid Cheetah Optimizer (HCO). The algorithm first optimizes the control parameters and individual update mechanism of the Cheetah Optimizer (CO) algorithm using a nonlinear strategy to improve the uniformity and discretization of the individual search range, and then dynamically introduces a differential evolutionary algorithm into the improved selection mechanism of the CO algorithm, which is utilized to fine-tune the solution space and maintain the local diversity during the fast search process. Simulation results demonstrate that this detection algorithm not only realizes fast convergence with a very low bit error rate (BER) at eight iterations but also has obvious advantages in terms of noise immunity, resistance to far and near effects, communication capacity, etc., which greatly improves the speed and accuracy of optimal position solving for multi-user detection and can achieve the purpose of accurate solving in complex environments.

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Noncoherent MassiveMIMO

Cited by 6 publications

References 79 publications

Multi-WiIR: Multi-User Identity Legitimacy Authentication Based on WiFi Device

Multi-WiIR: Multi-User Identity Legitimacy Authentication Based on WiFi Device

Non-coherent massive MIMO-OFDM for communications in high mobility scenarios

Multi-User Detection Based on Improved Cheetah Optimization Algorithm

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