Multiple Access in Cell-Free Networks: Outage Performance, Dynamic Clustering, and Deep Reinforcement Learning-Based Design

Al-Eryani, Yasser F.; Akrout, Mohamed; Hossain, Ekram

doi:10.1109/jsac.2020.3018825

Cited by 91 publications

(55 citation statements)

References 43 publications

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“…Analysis of cell‐free mMIMO has been carried out mainly for SE and energy efficiency 16‐20 . Other important performance metrices such as probability of outage are difficult to derive exactly in closed form 21 . Authors in previous study 22 developed general downlink model for multi‐antenna heterogenous cellular networks and derive the expression for coverage probability by assuming Poisson BS distribution.…”

Section: Introductionmentioning

confidence: 99%

“…Authors in previous study 21 derive closed loop expression of probability of outage in the uplink of cell‐free network, by exploiting Welch–Satterthwaite approximation 27 . Welch–Satterthwaite approximation is used for accurate approximation of sum of independent gamma random variables with different shape and rate parameter, which is very handy for cell‐free massive MIMO scenario where many (or all) APs serve a given particular UE in the uplink.…”

Section: Introductionmentioning

confidence: 99%

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Analytical outage and coverage performance analysis of cell‐free massive MIMO system based on radio stripe

Mishra¹,

Ponnusamy²

2021

Int J Communication

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Summary Cell‐free mMIMO (massive multiple input multiple output) is slated to be beyond 5G (B5G) wireless technology, given the attractive features it offers, higher spectral efficiency, higher‐energy efficiency, and superior spatial diversity. However, large numbers of long cables between each access point (AP) and central processing unit (CPU) (front haul requirements) mar its practical adoption. Radio stripe is one such architecture of cell‐free mMIMO suitable for practical deployment. In this work, we derive the closed‐form expression of probability of outage in the uplink of Cell‐Free mMIMO System Based on Radio Stripe (CFMMSBRS) and coverage probability in the downlink of CFMMSBRS, respectively. We employ, Welch–Satterthwaite approximation for accurate approximation of sum of independent gamma random variables with different shape and rate parameter. Results indicate that both outage and coverage achieved good performance especially when numbers of APs L in radio stripe network are greater than numbers of user equipments (UEs) K in the network.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analytical outage and coverage performance analysis of cell‐free massive MIMO system based on radio stripe

Mishra¹,

Ponnusamy²

2021

Int J Communication

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“…It is expected to be a key technology enabler of the sixth generation (6G) mobile communication systems [3]. In CF-MDAS, a large number of MSs in the whole area will be served simultaneously by a large number of separately distributed RAPs, which coordinate with the central processing unit (CPU) [4].…”

Section: Introductionmentioning

confidence: 99%

A Semidynamic Bidirectional Clustering Algorithm for Downlink Cell‐Free Massive Distributed Antenna System

Qian

Zhao

Zhu

et al. 2021

Wireless Communications and Mobile Computing

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Cell-free massive distributed antenna system (CF-MDAS) can further reduce the access distance between mobile stations (MSs) and remote access points (RAPs), which brings a lower propagation loss and higher multiplexing gain. However, the interference caused by the overlapping coverage areas of distributed RAPs will severely degrade the system performance in terms of the sum-rate. Since that clustering RAPs can mitigate the interference, in this paper, we investigate a novel clustering algorithm for a downlink CF-MDAS with the limited-capacity backhaul. To reduce the backhaul burden and mitigate interference effectively, a semidynamic bidirectional clustering algorithm based on the long-term channel state information (CSI) is proposed, which has a low computational complexity. Simulation results show that the proposed algorithm can efficiently achieve a higher sum-rate than that of the static clustering one, which is close to the curve obtained by dynamic clustering algorithm using the short-term CSI. Furthermore, the proposed algorithm always reveals a significant performance gain regardless of the size of the networks.

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“…Furthermore, significant recent improvements have been achieved within areas related to diversity-enhancing technologies such as massive multiple input multiple output (mMIMO) [9], cell-free network architectures [10], eURLL [11], massive machine type communication (mMTC) [12], meta-surfaces [13] and the recent exploration of new radio bands within the 24 − 300 GHz ranges [14]. In fully centralized cell-free network, all access points (APs) of the network are simultaneously serving all active (recognized) UEs using the same frequency bands.…”

Section: Chapter One Introductionmentioning

confidence: 99%

“…However, such a performance enhancement comes with the expense of high computational complexity, high network traffic and increased interference levels. The complexity of signal processing however, can be reduced by using scalable, dynamic, and lowcomplexity designs [15], and also by using suitable network-and UE-centric architectures and algorithms [16], [17,18]. One efficient technique to mitigate high interference levels is by adding more robustness in beamsteering and spatial multiplexing techniques.…”

Section: Chapter One Introductionmentioning

confidence: 99%

The D-OMA Method for Massive Multiple Access in 6G: Performance, Security, and Challenges

Al-Eryani

Hossain

2019

IEEE Veh. Technol. Mag.

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During the last few decades, wireless communication technologies and services have radically changed the way we live and interact at the personal, social, local and global levels.Such changes were mainly driven by the continuous emergence of innovative wireless communication services and products. These services and products represents a direct upshot of enduring research outcomes within the area. Nevertheless, the blessing of such innovation was accompanied by extremely high demands in forms of data traffic, per-user transmission rate, minimum transmission delay and in the number of wireless devices per unit area.Tackling these issues through cellular network densification was faced by many technical issues related to high interference levels, tedious user scheduling processes, and complicated network resource allocation algorithms. Trying to address these imperative technical issues in future wireless networks, this thesis develops several innovative enabling techniques for massive wireless multiple access. Specifically, we commence this work by introducing a new concept of partial spectrum overlapping among active users equipment (UEs). The proposed scheme represents a trade-off between fully orthogonal multiple access schemes (e.g. time division multiple access [TDMA], frequency division multiple access (FDMA) and orthogonal frequency division multiple access (OFDMA)) and that of non-orthogonal multiple access (NOMA). Second, we develop several innovative dynamic cell-free network architectures that support massive wireless connectivity through adaptive access points (APs)/base stations (BSs) coordination and/or cooperation. The proposed network models are then evaluated under different state-of-the-art enabling wireless techniques such as millimeter wave (mmWave) channel links and massive multiple-input multiple-output (mMIMO) sys-ACKNOWLEDGMENT Acknowledgement is due to the University of Manitoba for giving me this precious opportunity to resume my PhD degree. I would like to express deep gratefulness and appreciation to my Thesis advisor, Prof. Ekram Hossain for his continuous help, guidance, and encouragement throughout the course of this work. He spent a lot of his precious time helping me

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Multiple Access in Cell-Free Networks: Outage Performance, Dynamic Clustering, and Deep Reinforcement Learning-Based Design

Cited by 91 publications

References 43 publications

Analytical outage and coverage performance analysis of cell‐free massive MIMO system based on radio stripe

Analytical outage and coverage performance analysis of cell‐free massive MIMO system based on radio stripe

A Semidynamic Bidirectional Clustering Algorithm for Downlink Cell‐Free Massive Distributed Antenna System

The D-OMA Method for Massive Multiple Access in 6G: Performance, Security, and Challenges

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