E2E Network Slicing Optimization for Control- and User-Plane Separation-based SAGINs with DRL

Yunfeng Wang; Liqiang Zhao; Xiaoli Chu; Shenghui Song; Yansha Deng; Arumugam Nallanathan; Guorong Zhou

doi:10.1109/TVT.2024.3415964

E2E Network Slicing Optimization for Control- and User-Plane Separation-based SAGINs with DRL

Yunfeng Wang, Liqiang Zhao, Xiaoli Chu, Shenghui Song, Yansha Deng, Arumugam Nallanathan, Guorong Zhou

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Existing works on space-air-ground integrated networks (SAGINs) have not sufficiently explored the synergy between control- and user-plane separation (CUPS) and end-to-end (E2E) network slicing. In this paper, we present a new paradigm of E2E network slicing for CUPS-based SAGIN (CUPS-SAGIN), where the control base stations (BSs), control unmanned aerial vehicles (UAVs) together with the low earth orbit (LEO) satellites form the control plane (CP) to provide access for users, while the traffic BSs and traffic UAVs form the user plane (UP) to provide various services for users. We develop two typical E2E network slices for the CP, i.e., massive access and wide-area access slices, as well as two typical E2E network slices for the UP, i.e., high throughput and low delay slices. The utilities of the two CP access slices are defined based on their access percentages, while the utilities of the two UP service slices are defined based on their E2E throughput and delay, respectively. To maximize the sum-utility of the four E2E network slices, a judgement network-assisted deep deterministic policy gradient algorithm is designed to jointly optimize the UAV position, users' association with BS/UAV/LEO satellite and the allocations of the transport network capacity, downlink bandwidth and transmission power. Simulation results demonstrate the advantage of the proposed E2E network slicing for CUPS-SAGIN in terms of the access percentage, E2E throughput and delay as compared with the benchmarks, including the E2E network slicing schemes for the terrestrial cellular networks, coupled SAGINs, etc.

Original language	English
Pages (from-to)	16680-16696
Number of pages	17
Journal	IEEE Transactions on Vehicular Technology
Volume	73
Issue number	11
DOIs	https://doi.org/10.1109/TVT.2024.3415964
Publication status	Published - 2024

Keywords

control- and user-plane separation
deep deterministic policy gradient
Delays
End-to-end network slicing
Low earth orbit satellites
Network slicing
Optimization
Satellites
space-air-ground integrated networks
Throughput
Wireless communication

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10.1109/TVT.2024.3415964

Cite this

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title = "E2E Network Slicing Optimization for Control- and User-Plane Separation-based SAGINs with DRL",

abstract = "Existing works on space-air-ground integrated networks (SAGINs) have not sufficiently explored the synergy between control- and user-plane separation (CUPS) and end-to-end (E2E) network slicing. In this paper, we present a new paradigm of E2E network slicing for CUPS-based SAGIN (CUPS-SAGIN), where the control base stations (BSs), control unmanned aerial vehicles (UAVs) together with the low earth orbit (LEO) satellites form the control plane (CP) to provide access for users, while the traffic BSs and traffic UAVs form the user plane (UP) to provide various services for users. We develop two typical E2E network slices for the CP, i.e., massive access and wide-area access slices, as well as two typical E2E network slices for the UP, i.e., high throughput and low delay slices. The utilities of the two CP access slices are defined based on their access percentages, while the utilities of the two UP service slices are defined based on their E2E throughput and delay, respectively. To maximize the sum-utility of the four E2E network slices, a judgement network-assisted deep deterministic policy gradient algorithm is designed to jointly optimize the UAV position, users' association with BS/UAV/LEO satellite and the allocations of the transport network capacity, downlink bandwidth and transmission power. Simulation results demonstrate the advantage of the proposed E2E network slicing for CUPS-SAGIN in terms of the access percentage, E2E throughput and delay as compared with the benchmarks, including the E2E network slicing schemes for the terrestrial cellular networks, coupled SAGINs, etc.",

keywords = "control- and user-plane separation, deep deterministic policy gradient, Delays, End-to-end network slicing, Low earth orbit satellites, Network slicing, Optimization, Satellites, space-air-ground integrated networks, Throughput, Wireless communication",

author = "Yunfeng Wang and Liqiang Zhao and Xiaoli Chu and Shenghui Song and Yansha Deng and Arumugam Nallanathan and Guorong Zhou",

note = "Publisher Copyright: {\textcopyright} 1967-2012 IEEE.",

year = "2024",

doi = "10.1109/TVT.2024.3415964",

language = "English",

volume = "73",

pages = "16680--16696",

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T1 - E2E Network Slicing Optimization for Control- and User-Plane Separation-based SAGINs with DRL

AU - Wang, Yunfeng

AU - Zhao, Liqiang

AU - Chu, Xiaoli

AU - Song, Shenghui

AU - Deng, Yansha

AU - Nallanathan, Arumugam

AU - Zhou, Guorong

PY - 2024

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N2 - Existing works on space-air-ground integrated networks (SAGINs) have not sufficiently explored the synergy between control- and user-plane separation (CUPS) and end-to-end (E2E) network slicing. In this paper, we present a new paradigm of E2E network slicing for CUPS-based SAGIN (CUPS-SAGIN), where the control base stations (BSs), control unmanned aerial vehicles (UAVs) together with the low earth orbit (LEO) satellites form the control plane (CP) to provide access for users, while the traffic BSs and traffic UAVs form the user plane (UP) to provide various services for users. We develop two typical E2E network slices for the CP, i.e., massive access and wide-area access slices, as well as two typical E2E network slices for the UP, i.e., high throughput and low delay slices. The utilities of the two CP access slices are defined based on their access percentages, while the utilities of the two UP service slices are defined based on their E2E throughput and delay, respectively. To maximize the sum-utility of the four E2E network slices, a judgement network-assisted deep deterministic policy gradient algorithm is designed to jointly optimize the UAV position, users' association with BS/UAV/LEO satellite and the allocations of the transport network capacity, downlink bandwidth and transmission power. Simulation results demonstrate the advantage of the proposed E2E network slicing for CUPS-SAGIN in terms of the access percentage, E2E throughput and delay as compared with the benchmarks, including the E2E network slicing schemes for the terrestrial cellular networks, coupled SAGINs, etc.

AB - Existing works on space-air-ground integrated networks (SAGINs) have not sufficiently explored the synergy between control- and user-plane separation (CUPS) and end-to-end (E2E) network slicing. In this paper, we present a new paradigm of E2E network slicing for CUPS-based SAGIN (CUPS-SAGIN), where the control base stations (BSs), control unmanned aerial vehicles (UAVs) together with the low earth orbit (LEO) satellites form the control plane (CP) to provide access for users, while the traffic BSs and traffic UAVs form the user plane (UP) to provide various services for users. We develop two typical E2E network slices for the CP, i.e., massive access and wide-area access slices, as well as two typical E2E network slices for the UP, i.e., high throughput and low delay slices. The utilities of the two CP access slices are defined based on their access percentages, while the utilities of the two UP service slices are defined based on their E2E throughput and delay, respectively. To maximize the sum-utility of the four E2E network slices, a judgement network-assisted deep deterministic policy gradient algorithm is designed to jointly optimize the UAV position, users' association with BS/UAV/LEO satellite and the allocations of the transport network capacity, downlink bandwidth and transmission power. Simulation results demonstrate the advantage of the proposed E2E network slicing for CUPS-SAGIN in terms of the access percentage, E2E throughput and delay as compared with the benchmarks, including the E2E network slicing schemes for the terrestrial cellular networks, coupled SAGINs, etc.

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KW - deep deterministic policy gradient

KW - Delays

KW - End-to-end network slicing

KW - Low earth orbit satellites

KW - Network slicing

KW - Optimization

KW - Satellites

KW - space-air-ground integrated networks

KW - Throughput

KW - Wireless communication

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U2 - 10.1109/TVT.2024.3415964

DO - 10.1109/TVT.2024.3415964

M3 - Article

AN - SCOPUS:85196504311

SN - 0018-9545

VL - 73

SP - 16680

EP - 16696

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

IS - 11

ER -

E2E Network Slicing Optimization for Control- and User-Plane Separation-based SAGINs with DRL

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