Probabilistic Cache Policy Design for Cellular Networks with Stochastic Geometry Analysis

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School of Electrical Engineering | Doctoral thesis (article-based) | Defence date: 2024-01-22
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Authors

Date

2023

Department

Informaatio- ja tietoliikennetekniikan laitos
Department of Information and Communications Engineering

Major/Subject

Mcode

Degree programme

Language

en

Pages

99 + app. 73

Series

Aalto University publication series DOCTORAL THESES, 226/2023

Abstract

The annual data traffic of mobile cellular networks is growing explosively, which has led to backhaul link congestion and latency during data reception from cellular networks. For the fifth generation (5G) of cellular systems, faster transmission speeds, lower latency, and higher spectral efficiency than the previous generations are required. Edge caching promisingly fulfills these requirements by alleviating the unprecedented data congestion and traffic escalation issues of cellular networks. Edge caching is a technique to proactively store the potentially preferable files at the edge of the network (e.g. base stations or user equipment). To achieve an appropriate cache strategy, the two phases of cache placement and cache delivery need to be addressed and optimized. Moreover, a cache policy can be designed based on a static or dynamic framework. For the former, only one shot of network operation is considered, while for the latter, the dynamics of network operation are taken into account. This thesis aims to design optimal static and dynamic caching policies based on the considered model of network operation. For the static caching, this thesis considers the multipoint multicast transmission scheme with a probabilistic cache placement. Building on stochastic geometry, the outage probability is analyzed as network performance to design a static cache strategy. As such, a constrained optimization problem is formulated considering resource and cache allocation parameters, and two algorithms are devised to numerically solve it. Simulation results show that the usage of multipoint multicast is a promising and competitive approach compared to the singlepoint scheme from the literature. This thesis also proposes a hybrid scheme combining the multiantenna single-point unicast and multipoint multicast components to simultaneously leverage the advantages of these schemes for a static cache strategy. To find the hybrid cache solution, a timevarying optimization problem is formulated considering cache and resource allocation parameters as well as content assignment between those two different components. Simulation results indicate the superiority of the proposed hybrid scheme from the spectral efficiency perspective. For the dynamic caching, the dynamics of the user requests in a cellular network are formulated based on a Markov decision process. As such, a reinforcement learning algorithm is exploited to devise a dynamic cache strategy. Simulation results show significant improvements brought by proposed dynamic caching from the quality-of-service and power consumption point-of-view.

Description

Supervising professor

Tirkkonen, Olav, Prof., Aalto University, Department of Information and Communications Engineering, Finland

Thesis advisor

Al-Tous, Hanan, Dr., Aalto University, Finland

Keywords

probabilistic cache policy, distributed cache placement, multipoint multicast transmission, stochastic geometry

Other note

Parts

  • [Publication 1]: Mohsen Amidzadeh, Hanan Al-Tous, Olav Tirkkonen, Giuseppe Caire. Cellular Network Caching Based on Multipoint Multicast Transmissions. In IEEE Global Communications Conference (GLOBECOM), Taipei, pp. 1-6, Dec. 2020.
    DOI: 10.1109/GLOBECOM42002.2020.9348023 View at publisher
  • [Publication 2]: Mohsen Amidzadeh, Hanan Al-Tous, Olav Tirkkonen, Giuseppe Caire. Orthogonal Multipoint Multicast Caching in OFDM Cellular Networks with ICI and IBI. In IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Helsinki, pp. 394-399, Oct. 2021.
    Full text in Acris/Aaltodoc: https://urn.fi/URN:NBN:fi:aalto-2021111010089
    DOI: 10.1109/PIMRC50174.2021.9569544 View at publisher
  • [Publication 3]: Mohsen Amidzadeh, Hanan Al-Tous, Olav Tirkkonen, Giuseppe Caire. Cellular Traffic Offloading with Optimized Compound Single-point Unicast and Cache-based Multipoint Multicast. In IEEE Wireless Communications and Networking Conference (WCNC), Austin, pp. 2268-2273, May. 2022.
    Full text in Acris/Aaltodoc: https://urn.fi/URN:NBN:fi:aalto-202206083607
    DOI: 10.1109/WCNC51071.2022.9771671 View at publisher
  • [Publication 4]: Mohsen Amidzadeh, Hanan Al-Tous, Olav Tirkkonen, Junshan Zhang. Joint Cache Placement and Delivery Design using Reinforcement Learning for Cellular Networks. In IEEE Vehicular Technology Conference (VTC), Helsinki, pp. 1-6, Jun. 2021.
    Full text in Acris/Aaltodoc: https://urn.fi/URN:NBN:fi:aalto-202109028799
    DOI: 10.1109/VTC2021-Spring51267.2021.9448674 View at publisher
  • [Publication 5]: Mohsen Amidzadeh, Hanan Al-Tous, Olav Tirkkonen, Giuseppe Caire. Caching in Cellular Networks Based on Multipoint Multicast Transmissions. In IEEE Transactions on Wireless Communications, pp. 2393 - 2408, Oct. 2022.
    Full text in Acris/Aaltodoc: https://urn.fi/URN:NBN:fi:aalto-202210266246
    DOI: 10.1109/TWC.2022.3211416 View at publisher
  • [Publication 6]: Mohsen Amidzadeh, Hanan Al-Tous, Olav Tirkkonen, Giuseppe Caire. Multipoint Multicast Caching in the Presence of Multipoint and Multipath Interference via an Optimized Parametric Programming. Submitted to a Journal, Dec. 2022

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Permanent link to this item

https://urn.fi/URN:ISBN:978-952-64-1601-4

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