Foresighted resource scheduling in software-defined radio access networks

Xianfu Chen; Zhu Han; Honggang Zhang; Mehdi Bennis; Tao Chen

doi:10.1109/GlobalSIP.2015.7418170

Foresighted resource scheduling in software-defined radio access networks

Xianfu Chen, Zhu Han, Honggang Zhang, Mehdi Bennis, Tao Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

4 Citations (Scopus)

Abstract

In a software-defined radio access network (Soft-RAN), the centralized network controller (CNC) and the wireless service providers (WSPs) are decoupled. Specifically, the CNC schedules resources over time for the mobile terminals (MTs) based on the value functions sent by the WSPs. While the strategic WSPs compete against each other on behalf of their MTs to optimize the long-term expected payoffs. The interactions among WSPs under a temporally changing SoftRAN form a non-cooperative stochastic game, which is regulated by the CNC using a Vickrey-Clarke-Groves pricing mechanism. However, due to the selfishness of WSPs, global network information is unattainable during the interacting process. We hence propose a stochastic resource scheduling scheme, in which each WSP needs neither other WSPs' private information nor a priori knowledge of network dynamics, yet it is able to independently learn the approximated true value functions in a gradual way. Numerical simulations are carried out to demonstrate the performance gains that can be achieved from the proposed scheme.

Original language	English
Title of host publication	Signal and Information Processing (GlobalSIP), 2015 IEEE Global Conference on
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	128-132
ISBN (Electronic)	978-1-4799-7591-4, 978-1-4799-7590-7
DOIs	https://doi.org/10.1109/GlobalSIP.2015.7418170
Publication status	Published - 25 Feb 2015
MoE publication type	A4 Article in a conference publication
Event	IEEE Global Conference on Signal and Information Processing - Orlando, United States Duration: 14 Dec 2015 → 16 Dec 2015

Conference

Conference	IEEE Global Conference on Signal and Information Processing
Abbreviated title	IEEE GlobalSIP
Country/Territory	United States
City	Orlando
Period	14/12/15 → 16/12/15

Keywords

computer numerical control
games
stochastic processes
radio access networks
Wireless communication
mobile communication
artificial neural networks

Access to Document

10.1109/GlobalSIP.2015.7418170

Cite this

@inproceedings{9ffa548986554ea1bc8458129bc989cd,

title = "Foresighted resource scheduling in software-defined radio access networks",

abstract = "In a software-defined radio access network (Soft-RAN), the centralized network controller (CNC) and the wireless service providers (WSPs) are decoupled. Specifically, the CNC schedules resources over time for the mobile terminals (MTs) based on the value functions sent by the WSPs. While the strategic WSPs compete against each other on behalf of their MTs to optimize the long-term expected payoffs. The interactions among WSPs under a temporally changing SoftRAN form a non-cooperative stochastic game, which is regulated by the CNC using a Vickrey-Clarke-Groves pricing mechanism. However, due to the selfishness of WSPs, global network information is unattainable during the interacting process. We hence propose a stochastic resource scheduling scheme, in which each WSP needs neither other WSPs' private information nor a priori knowledge of network dynamics, yet it is able to independently learn the approximated true value functions in a gradual way. Numerical simulations are carried out to demonstrate the performance gains that can be achieved from the proposed scheme.",

keywords = "computer numerical control, games, stochastic processes, radio access networks, Wireless communication, mobile communication, artificial neural networks",

author = "Xianfu Chen and Zhu Han and Honggang Zhang and Mehdi Bennis and Tao Chen",

note = "SDA: MIP: CognitComms4CritInfras Project: 101914 ; IEEE Global Conference on Signal and Information Processing, IEEE GlobalSIP ; Conference date: 14-12-2015 Through 16-12-2015",

year = "2015",

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day = "25",

doi = "10.1109/GlobalSIP.2015.7418170",

language = "English",

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Chen, X, Han, Z, Zhang, H, Bennis, M & Chen, T 2015, Foresighted resource scheduling in software-defined radio access networks. in Signal and Information Processing (GlobalSIP), 2015 IEEE Global Conference on. IEEE Institute of Electrical and Electronic Engineers, pp. 128-132, IEEE Global Conference on Signal and Information Processing, Orlando, Florida, United States, 14/12/15. https://doi.org/10.1109/GlobalSIP.2015.7418170

Foresighted resource scheduling in software-defined radio access networks. / Chen, Xianfu; Han, Zhu; Zhang, Honggang et al.
Signal and Information Processing (GlobalSIP), 2015 IEEE Global Conference on. IEEE Institute of Electrical and Electronic Engineers, 2015. p. 128-132.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Foresighted resource scheduling in software-defined radio access networks

AU - Chen, Xianfu

AU - Han, Zhu

AU - Zhang, Honggang

AU - Bennis, Mehdi

AU - Chen, Tao

N1 - SDA: MIP: CognitComms4CritInfras Project: 101914

PY - 2015/2/25

Y1 - 2015/2/25

N2 - In a software-defined radio access network (Soft-RAN), the centralized network controller (CNC) and the wireless service providers (WSPs) are decoupled. Specifically, the CNC schedules resources over time for the mobile terminals (MTs) based on the value functions sent by the WSPs. While the strategic WSPs compete against each other on behalf of their MTs to optimize the long-term expected payoffs. The interactions among WSPs under a temporally changing SoftRAN form a non-cooperative stochastic game, which is regulated by the CNC using a Vickrey-Clarke-Groves pricing mechanism. However, due to the selfishness of WSPs, global network information is unattainable during the interacting process. We hence propose a stochastic resource scheduling scheme, in which each WSP needs neither other WSPs' private information nor a priori knowledge of network dynamics, yet it is able to independently learn the approximated true value functions in a gradual way. Numerical simulations are carried out to demonstrate the performance gains that can be achieved from the proposed scheme.

AB - In a software-defined radio access network (Soft-RAN), the centralized network controller (CNC) and the wireless service providers (WSPs) are decoupled. Specifically, the CNC schedules resources over time for the mobile terminals (MTs) based on the value functions sent by the WSPs. While the strategic WSPs compete against each other on behalf of their MTs to optimize the long-term expected payoffs. The interactions among WSPs under a temporally changing SoftRAN form a non-cooperative stochastic game, which is regulated by the CNC using a Vickrey-Clarke-Groves pricing mechanism. However, due to the selfishness of WSPs, global network information is unattainable during the interacting process. We hence propose a stochastic resource scheduling scheme, in which each WSP needs neither other WSPs' private information nor a priori knowledge of network dynamics, yet it is able to independently learn the approximated true value functions in a gradual way. Numerical simulations are carried out to demonstrate the performance gains that can be achieved from the proposed scheme.

KW - computer numerical control

KW - games

KW - stochastic processes

KW - radio access networks

KW - Wireless communication

KW - mobile communication

KW - artificial neural networks

U2 - 10.1109/GlobalSIP.2015.7418170

DO - 10.1109/GlobalSIP.2015.7418170

M3 - Conference article in proceedings

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BT - Signal and Information Processing (GlobalSIP), 2015 IEEE Global Conference on

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - IEEE Global Conference on Signal and Information Processing

Y2 - 14 December 2015 through 16 December 2015

ER -

Foresighted resource scheduling in software-defined radio access networks

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