Pilot Decontamination Using Coordinated Wiener Predictor in Massive-MIMO System

Mazlan, M. Hasbullah; Ali, Ehab; Ramly, Athirah Mohd; Nordin, Rosdiadee; Ismail, Mahamod; Sali, Aduwati

doi:10.1109/access.2018.2881743

Cited by 5 publications

(7 citation statements)

References 48 publications

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“…where p is the average transmit power during the pilot training period. By applying the conjugatecomplex matrix of ψ k to (7), the observed channel can be written aŝ…”

Section: Downlink Channel Estimationmentioning

confidence: 99%

A User Cooperation Approach for Interference Cancellation in FDD Massive MIMO Systems

2020

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The performance of a massive multi-user Multi-Input Multi-Output (MIMO) system, operating in Frequency Division Duplex (FDD) mode, severely degrades under imperfect Channel State Information (CSI). Among the main challenges toward the acquisition of sufficiently accurate CSI at the transmitter is the issue of enormous CSI feedback overhead. In this paper, a novel interference cancellation strategy is proposed to alleviate the overhead. The concept of a device-to-device based interference cancellation strategy was hinted in some prior works but has not been fully exploited in the multi-user MIMO systems, especially when the number of antennas becomes large. Hence, this paper aims to exploit the potential of User Equipment (UE) cooperation to reduce the dependency of precoder at the transmitter to the accuracy of CSI. To do so, adjacent pieces of UE that experience correlated CSI are clustered in a similar group, jointly adjusting their receive antenna combining the weight vector to maximize the channel vector orthogonality. Simulation results show that the proposed strategy reduces the dependency of system performance on the accuracy of CSI feedback; moreover, compared to the conventional limited feedback strategy, a larger number of antennas can be deployed at the transmitter.

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“…where p is the average transmit power during the pilot training period. By applying the conjugatecomplex matrix of ψ k to (7), the observed channel can be written aŝ…”

Section: Downlink Channel Estimationmentioning

confidence: 99%

A User Cooperation Approach for Interference Cancellation in FDD Massive MIMO Systems

2020

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“…Components of the MIMO channel, for example radio wire exhibits at both connection closures and proliferation ways, are shown in Figure 1. Move network of the MIMO channel is [3]:…”

Section: Channel Modelsmentioning

confidence: 99%

“…The European WINNER model [1] has built up another radio idea for Beyond-3G (B3G) remote correspondence framework which utilizes a channel data transfer capacity of up to 100 MHz for one radio connection, and radio frequencies in all probability somewhere in the range of 2 and 6 GHz [2]. Thus, new channel models were created during the WINNER venture, in light of channel estimations [3], which covers progressively nitty gritty system situations. The divert models created in WINNER model become particularly able for the 4G remote correspondence just as LTE Advanced [3] [4], [5].…”

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confidence: 99%

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Performance Optimal for Deploying Relays in Urban Micro Cells on LTE-Advanced Technology

Saif*,

Ismail,

Nordin

et al. 2020

IJITEE

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Cooperative Relay is a promising enhancement to modern radio technologies which has been considered in LTE-Advanced and IEEE 802.16m technologies. Cooperative Relay is one of the technologies that used to improve coverage in downlink mobile network. The work is done by designing numerous environments for LTE-Advanced networks involving relays, whereby using vertical distributions of relays for both AAF & DAF techniques as well as comparison between the performances optimal of both techniques on urban micro cell for LTE-Advanced Technologies, Insertion the channel model from WINNER project. The performances optimal of non-Cooperative Relay and Cooperative Relay are evaluated in terms of Symbol Error Rate (SER) and Signal-to Noise-Ratio (SNR). The simulation results show that relay technologies can effectively improve system performance. On the other hand, 10-Relay in vertical distributions clearly shows outperforms on other environments and, when the relay put near, middle and far from Evolved Node B (eNB), the result shows at SER of 10-3 the system that employs AAF technique outperforms on the system that employs DAF technique in LTE-A system by about 6.5 dB, 2.5 dB and 2 dB sequent.

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“…In addition to that, one resource block bandwidth (RB BW) and 2 OFDM symbols are considered to meet the mMTC requirements. Consequently in [24], the researchers explored techniques to mitigate pilot decontaminate in a 5G system.…”

Section: Introductionmentioning

confidence: 99%

Cross-Layer Design and Performance Analysis for Ultra-Reliable Factory of the Future Based on 5G Mobile Networks

2021

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To provide a new level of reliability, latency, and support a massive number of users and smart objects, a new 5G multi-services air interface needs to be addressed for the factory of the future (FoF). However, there are limitations in providing connectivity to a dynamic machine in a factory due to several strict industrial automation requirements. In particular, the strict wireless communication latency and reliability requirements are the major challenges to enable the Industry 4.0 vision. In this paper, a PHY-MAC layer cross-layer model that combines a semi-persistent scheduling at the medium access control layer and NOMA at the physical layer has been proposed to address the limitations. The work extensively investigates the performance of the factory of the future with various considerations of 5G spectrums (in this case 3.5 GHz and 28 GHz), speeds and frequency diversity. In addition, the packet error rate (PER), outage probability and throughput in MAC are evaluated in terms of network density deployment (sparse, moderate, dense), different kinds of speed; 0 km/h, 3 km/h, 7 km/h and 10 km/h, under two 5G frequency spectrums. Through extensive simulations, the considered 5G system parameters produced better results in terms of reliability, where the results showed that the frequency diversity outperformed non-diversity by 2 dB. In a sparse network, the PER results showed better results compared to the dense network density by 2 dB (MMSE), 8 dB (LS-Linear) and 2 dB (LS-Spline). Besides that, robotics in sparse network density and stationary exhibited the best PER results, which is as low as 10 -7 . Moreover, the performance of mid-band frequency outperformed the high-band frequency by 1.8dB (MMSE) in dense condition and 1.5 dB (MMSE) in sparse deployment at PER = 10 -6 . Hence, this study could be a useful insight for the factory of the future services that are utilizing a 5G mid-band spectrum as well as a high-band spectrum.

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Pilot Decontamination Using Coordinated Wiener Predictor in Massive-MIMO System

Cited by 5 publications

References 48 publications

A User Cooperation Approach for Interference Cancellation in FDD Massive MIMO Systems

A User Cooperation Approach for Interference Cancellation in FDD Massive MIMO Systems

Performance Optimal for Deploying Relays in Urban Micro Cells on LTE-Advanced Technology

Cross-Layer Design and Performance Analysis for Ultra-Reliable Factory of the Future Based on 5G Mobile Networks

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