Cell-Free IoT Networks With SWIPT: Performance Analysis and Power Control

Zhang, Yao; Xia, Wenchao; Zhao, Haitao; Xu, Wei; Wong, Kai-Kit; Yang, Longxiang

doi:10.1109/jiot.2022.3143531

Cited by 21 publications

(15 citation statements)

References 44 publications

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“…Using the above definitions and by virtue of some linear operations, we can calculate all expectations in Eq. ( 32) as follows 5 . ( 32) and performing some algebraic manipulations, Theorem 1 is proved.…”

Section: Appendix a Proof Of Lemmamentioning

confidence: 99%

“…for its ability to tackle the inter-cell interference and poor quality-of-service (QoS) of cell-edge user equipments (UEs) issues in cellular massive MIMO systems [1]- [5]. However, the performance of cell-free massive MIMO systems is still highly prone to deteriorate in unfavorable propagation environments, such as sparse scattering scenarios and longdistance/obstructive propagation losses.…”

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confidence: 99%

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Performance Analysis of RIS-Assisted Cell-Free Massive MIMO Systems With Transceiver Hardware Impairments

Zhang,

Xia,

Zhao

et al. 2023

IEEE Trans. Commun.

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Integrating reconfigurable intelligent surface (RIS) into cell-free massive multiple-input multiple-output (MIMO) is a promising approach to enhance the coverage quality, spectral efficiency (SE), and energy efficiency. In this paper, an RISassisted cell-free massive MIMO downlink system suffering from the transceiver hardware impairments (T-HWIs) is investigated. To improve the accuracy of the direct estimation (DE) scheme, a modified ON/OFF estimation (MOE) with moderate pilot overhead is proposed. Relying on the knowledge of imperfect channel state information, we derive closed-form expressions of the lower-bound achievable SE with T-HWIs under both DE and MOE schemes. The closed-form results facilitate the investigation of how RIS improves the downlink SE under various system settings and allow us to explore the trade-off strategies between using more hardware-impaired APs and low-cost RISs in terms of the downlink SE and power consumption. Numerical results validate the theoretical analysis and show that the proposed MOE scheme outperforms the DE scheme in terms of the downlink SE. Moreover, the benefits of introducing RIS into hardwareimpaired cell-free massive MIMO systems are also illustrated.Index Terms-Cell-free massive multiple-input multiple-output (MIMO), reconfigurable intelligent surface (RIS), transceiver hardware impairments (T-HWIs), channel estimation, performance analysis. I. INTRODUCTIONAs a potential candidate technology for future sixthgeneration (6G) communications, cell-free massive multipleinput multiple-output (MIMO) is attracting growing interest

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Section: Appendix a Proof Of Lemmamentioning

confidence: 99%

mentioning

confidence: 99%

Performance Analysis of RIS-Assisted Cell-Free Massive MIMO Systems With Transceiver Hardware Impairments

Zhang,

Xia,

Zhao

et al. 2023

IEEE Trans. Commun.

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“…Furthermore, with the aim to maximize the minimum achievable UE rate and the harvested energy for both time switching and power splitting receiver structures, optimal transmit power control was derived, which enables near-far effects mitigation in SWIPT-enabled CF-mMIMO systems. Zhang et al [168] investigated the impact of normalizing the DL beamformer on the harvested energy in SWIPTenabled CF-mMIMO systems. Accelerated projected gradientbased power control policy has been proposed to reduce the optimization run time.…”

Section: A Literature Reviewmentioning

confidence: 99%

Next Generation Multiple Access with Cell-Free Massive MIMO

Mohammadi,

Mobini,

Ngo

et al. 2023

Preprint

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<p>To meet the unprecedented mobile traffic demands of future wireless networks, a paradigm shift from conventional cellular networks to distributed communication systems is imperative. Cell-free massive multiple-input multiple-output (CF-mMIMO) represents a practical and scalable embodiment of distributed/network MIMO systems. It inherits not only the key benefits of co-located massive MIMO systems but also the macro-diversity gains from distributed systems. This innovative architecture has demonstrated significant potential in enhancing network performance from various perspectives, outperforming co-located mMIMO and conventional small-cell systems. Moreover, CF-mMIMO offers flexibility in integration with emerging wireless technologies such as full-duplex (FD), non-orthogonal transmission schemes, millimeter-wave (mmWave) communications, ultra-reliable low-latency communication (URLLC), unmanned aerial vehicle (UAV)-aided communication, and reconfigurable intelligent surfaces (RISs). In this paper, we provide an overview of current research efforts on CF-mMIMO systems and their promising future application scenarios. We then elaborate on new requirements for CF-mMIMO networks in the context of these technological breakthroughs. We also present several current open challenges and outline future research directions aimed at fully realizing the potential of CF mMIMO systems in meeting the evolving demands of future wireless networks.</p>

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“…Ref. [ 34 ] considers cell-free massive MIMO for simultaneous wireless information and power transfer (SWIPT) in IoT networks. Conjugate beamforming is used, such that the APs direct the radio frequency (RF) energy toward the functional IoT nodes.…”

Section: Introductionmentioning

confidence: 99%

Robust Resource Control Based on AP Selection in 6G-Enabled IoT Networks

Taneja,

Alqahtani,

Saluja

et al. 2023

Sensors

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The diverse application vertices of internet-of-things (IoT) including internet of vehicles (IoV), industrial IoT (IIoT) and internet of drones things (IoDT) involve intelligent communication between the massive number of objects around us. This digital transformation strives for seamless data flow, uninterrupted communication capabilities, low latency and ultra-high reliability. The limited capabilities of fifth generation (5G) technology have given way to sixth generation (6G) wireless technology. This paper presents a dynamic cell-free framework for a 6G-enabled IoT network. A number of access points (APs) are distributed over a given geographical area to serve a large number of user nodes. A pilot-based AP selection (PBAS) algorithm is proposed, which offers robust resource control through AP selection based on pilots. Selecting a subset of APs against all APs for each user node results in improved performance. In this paper, the performance of the proposed transmission model is evaluated for the achieved data rate and spectral efficiency using the proposed algorithm. It is shown that the proposed PBAS algorithm improves the spectral efficiency by 22% at the cell-edge and 1.5% at the cell-center. A comparison of the different combining techniques used at different user locations is also provided, along with the mathematical formulations. Finally, the proposed model is compared with two other transmission models for performance evaluation. It is observed that the spectral efficiency achieved by an edge node with the proposed scheme is 5.3676 bits/s/Hz, compared to 0.756 bits/s/Hz and 1.0501 bits/s/Hz, attained with transmission schemes 1 and 2, respectively.

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Cell-Free IoT Networks With SWIPT: Performance Analysis and Power Control

Cited by 21 publications

References 44 publications

Performance Analysis of RIS-Assisted Cell-Free Massive MIMO Systems With Transceiver Hardware Impairments

Performance Analysis of RIS-Assisted Cell-Free Massive MIMO Systems With Transceiver Hardware Impairments

Next Generation Multiple Access with Cell-Free Massive MIMO

Robust Resource Control Based on AP Selection in 6G-Enabled IoT Networks

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