Pilot Assignment and Power Control for Cell-Free Massive MIMO With HTC/MTC Coexistence

Cell-free massive MIMO (CF-mMIMO) is regarded as one of the most promising wireless technologies for future applications. It is expected to tackle the intercell interference problem with traditional cellular networks in order to achieve high Quality of Service (QoS). The coexistence of human-type co...

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Veröffentlicht in:IEEE internet of things journal 2024-02, Vol.11 (4), p.7024-7039
Hauptverfasser: Liu, Luyang, Wu, Shaochuan, Ye, Qiang, Ma, Yongkui
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creator Liu, Luyang
Wu, Shaochuan
Ye, Qiang
Ma, Yongkui
description Cell-free massive MIMO (CF-mMIMO) is regarded as one of the most promising wireless technologies for future applications. It is expected to tackle the intercell interference problem with traditional cellular networks in order to achieve high Quality of Service (QoS). The coexistence of human-type communication (HTC) and machine-type communication (MTC) poses a challenge to today's and future communication technologies, including CF-mMIMO. However, there have been few studies on the support of CF-mMIMO for HTC/MTC coexistence. In this article, we present a comprehensive resource allocation mechanism for CF-mMIMO with HTC/MTC coexistence, which consists of two components. First, to handle the device activity detection issue caused by the absence of orthogonal pilot sequence, we propose a pilot assignment scheme based on the continuous method and a device activity detection scheme based on the spatial separation characteristics of CF-mMIMO, aiming at reducing the activity detection error probability. Second, we formulate an multiobjective optimization problem (MOOP) and devise a power control method based on MOOP to deal with the conflict caused by the different service requirements of HTC and MTC. Numerical results show that the proposed pilot assignment scheme outperforms the comparable pilot assignment schemes in terms of activity detection error probability. In addition, combined with the proposed pilot assignment scheme, the devised MOOP power control method leads to higher HTC normalized sum rate and MTC energy efficiency than the comparable power control methods.
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Second, we formulate an multiobjective optimization problem (MOOP) and devise a power control method based on MOOP to deal with the conflict caused by the different service requirements of HTC and MTC. Numerical results show that the proposed pilot assignment scheme outperforms the comparable pilot assignment schemes in terms of activity detection error probability. 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subjects Cell-free massive MIMO (CF-mMIMO)
Cellular communication
Communication
Control methods
Data communication
Energy efficiency
Error detection
human-type communication (HTC)/machine-type communication (MTC) coexistence
Massive MIMO
MIMO (control systems)
MIMO communication
multiobjective optimization problem (MOOP)
Multiple objective analysis
Power control
Power demand
Power management
Quality of service architectures
Resource allocation
Resource management
Uplink
Wireless networks
title Pilot Assignment and Power Control for Cell-Free Massive MIMO With HTC/MTC Coexistence
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