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Modeling and Performance of Uplink Cache-Enabled Massive MIMO Heterogeneous Networks

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Modeling and Performance of Uplink Cache-Enabled Massive MIMO Heterogeneous Networks. / Papazafeiropoulos, Anastasios; Ratnarajah, Tharmalingham.

In: IEEE Transactions on Wireless Communications, Vol. 17, No. 12, 8490665, 01.12.2018, p. 8136-8149.

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@article{91bf35052dcf42638fe7ce408fe9571c,
title = "Modeling and Performance of Uplink Cache-Enabled Massive MIMO Heterogeneous Networks",
abstract = "A significant burden on wireless networks is brought by the uploading of user-generated contents to the Internet by means of applications such as social media. To cope with this mobile data tsunami, we develop a novel multiple-input multiple-output (MIMO) network architecture with randomly located base stations (BSs) a large number of antennas employing cache-enabled uplink transmission. In particular, we formulate a scenario, where the users upload their content to their strongest BSs, which are Poisson point process distributed. In addition, the BSs, exploiting the benefits of massive MIMO, upload their contents to the core network by means of a finite-rate backhaul. After proposing the caching policies, where we propose the modified von Mises distribution as the popularity distribution function, we derive the outage probability and the average delivery rate by taking advantage of tools from the deterministic equivalent and stochastic geometry analyses. Numerical results investigate the realistic performance gains of the proposed heterogeneous cache-enabled uplink on the network in terms of cardinal operating parameters. For example, insights regarding the BSs storage size are exposed. Moreover, the impacts of the key parameters such as the file popularity distribution and the target bitrate are investigated. Specifically, the outage probability decreases if the storage size is increased, while the average delivery rate increases. In addition, the concentration parameter, defining the number of files stored at the intermediate nodes (popularity), affects the proposed metrics directly. Furthermore, a higher target rate results in higher outage because fewer users obey this constraint. Also, we demonstrate that a denser network decreases the outage and increases the delivery rate. Hence, the introduction of caching at the uplink of the system design ameliorates the network performance.",
keywords = "Aging, Caching, channel aging, Downlink, heterogeneous networks, massive MIMO, MIMO communication, Power system reliability, Probability, stochastic geometry, Uplink, Wireless communication",
author = "Anastasios Papazafeiropoulos and Tharmalingham Ratnarajah",
year = "2018",
month = dec,
day = "1",
doi = "10.1109/TWC.2018.2874229",
language = "English",
volume = "17",
pages = "8136--8149",
journal = "IEEE Transactions on Wireless Communications",
issn = "1536-1276",
publisher = "IEEE",
number = "12",

}

RIS

TY - JOUR

T1 - Modeling and Performance of Uplink Cache-Enabled Massive MIMO Heterogeneous Networks

AU - Papazafeiropoulos, Anastasios

AU - Ratnarajah, Tharmalingham

PY - 2018/12/1

Y1 - 2018/12/1

N2 - A significant burden on wireless networks is brought by the uploading of user-generated contents to the Internet by means of applications such as social media. To cope with this mobile data tsunami, we develop a novel multiple-input multiple-output (MIMO) network architecture with randomly located base stations (BSs) a large number of antennas employing cache-enabled uplink transmission. In particular, we formulate a scenario, where the users upload their content to their strongest BSs, which are Poisson point process distributed. In addition, the BSs, exploiting the benefits of massive MIMO, upload their contents to the core network by means of a finite-rate backhaul. After proposing the caching policies, where we propose the modified von Mises distribution as the popularity distribution function, we derive the outage probability and the average delivery rate by taking advantage of tools from the deterministic equivalent and stochastic geometry analyses. Numerical results investigate the realistic performance gains of the proposed heterogeneous cache-enabled uplink on the network in terms of cardinal operating parameters. For example, insights regarding the BSs storage size are exposed. Moreover, the impacts of the key parameters such as the file popularity distribution and the target bitrate are investigated. Specifically, the outage probability decreases if the storage size is increased, while the average delivery rate increases. In addition, the concentration parameter, defining the number of files stored at the intermediate nodes (popularity), affects the proposed metrics directly. Furthermore, a higher target rate results in higher outage because fewer users obey this constraint. Also, we demonstrate that a denser network decreases the outage and increases the delivery rate. Hence, the introduction of caching at the uplink of the system design ameliorates the network performance.

AB - A significant burden on wireless networks is brought by the uploading of user-generated contents to the Internet by means of applications such as social media. To cope with this mobile data tsunami, we develop a novel multiple-input multiple-output (MIMO) network architecture with randomly located base stations (BSs) a large number of antennas employing cache-enabled uplink transmission. In particular, we formulate a scenario, where the users upload their content to their strongest BSs, which are Poisson point process distributed. In addition, the BSs, exploiting the benefits of massive MIMO, upload their contents to the core network by means of a finite-rate backhaul. After proposing the caching policies, where we propose the modified von Mises distribution as the popularity distribution function, we derive the outage probability and the average delivery rate by taking advantage of tools from the deterministic equivalent and stochastic geometry analyses. Numerical results investigate the realistic performance gains of the proposed heterogeneous cache-enabled uplink on the network in terms of cardinal operating parameters. For example, insights regarding the BSs storage size are exposed. Moreover, the impacts of the key parameters such as the file popularity distribution and the target bitrate are investigated. Specifically, the outage probability decreases if the storage size is increased, while the average delivery rate increases. In addition, the concentration parameter, defining the number of files stored at the intermediate nodes (popularity), affects the proposed metrics directly. Furthermore, a higher target rate results in higher outage because fewer users obey this constraint. Also, we demonstrate that a denser network decreases the outage and increases the delivery rate. Hence, the introduction of caching at the uplink of the system design ameliorates the network performance.

KW - Aging

KW - Caching

KW - channel aging

KW - Downlink

KW - heterogeneous networks

KW - massive MIMO

KW - MIMO communication

KW - Power system reliability

KW - Probability

KW - stochastic geometry

KW - Uplink

KW - Wireless communication

UR - http://www.scopus.com/inward/record.url?scp=85055018663&partnerID=8YFLogxK

U2 - 10.1109/TWC.2018.2874229

DO - 10.1109/TWC.2018.2874229

M3 - Article

AN - SCOPUS:85055018663

VL - 17

SP - 8136

EP - 8149

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 12

M1 - 8490665

ER -