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Conference Paper: Online Learning based Uplink Scheduling in HetNets with Limited Backhaul Capacity

TitleOnline Learning based Uplink Scheduling in HetNets with Limited Backhaul Capacity
Authors
Issue Date2018
PublisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000359
Citation
Proceedings of IEEE INFOCOM 2018 - IEEE Conference on Computer Communications, Honolulu, HI, USA, 16-19 April 2018, p. 2348-2356 How to Cite?
AbstractHeterogeneous cellular networks (HetNets) can significantly improve the spectrum efficiency, where low-power low-complexity base stations (Pico-BSs) are deployed inside the coverage of macro base stations (Macro-BSs). Due to cross-tier interference, joint detection of the uplink signals is widely adopted so that a Pico-BS can either detect the uplink signals locally or forward them to the Macro-BS for processing. The latter can achieve increased throughput at the cost of additional backhaul transmission. However, in existing literature the delay of the backhaul links was often neglected. In this paper, we study the delay-optimal uplink scheduling problem in HetNets with limited backhaul capacity. Local signal detection or joint signal detection is scheduled in a unified delay-optimal framework. Specifically, we first prove that the problem is NP-hard and then formulate it as a Markov Decision Process problem. We propose an efficient and effective algorithm, called OLIUS, that can deal with the exponentially growing state and action spaces. Furthermore, OLIUS is online learning based which does not require any prior statistical knowledge on user behavior or channel characteristics. We prove the convergence of OLIUS and derive an upper bound on its approximation error. Extensive experiments in various scenarios show that our algorithm outperforms existing methods in reducing delay and power consumption.
Persistent Identifierhttp://hdl.handle.net/10722/262417

 

DC FieldValueLanguage
dc.contributor.authorHan, Z-
dc.contributor.authorTan, H-
dc.contributor.authorWang, R-
dc.contributor.authorTang, S-
dc.contributor.authorLau, FCM-
dc.date.accessioned2018-09-28T04:58:59Z-
dc.date.available2018-09-28T04:58:59Z-
dc.date.issued2018-
dc.identifier.citationProceedings of IEEE INFOCOM 2018 - IEEE Conference on Computer Communications, Honolulu, HI, USA, 16-19 April 2018, p. 2348-2356-
dc.identifier.urihttp://hdl.handle.net/10722/262417-
dc.description.abstractHeterogeneous cellular networks (HetNets) can significantly improve the spectrum efficiency, where low-power low-complexity base stations (Pico-BSs) are deployed inside the coverage of macro base stations (Macro-BSs). Due to cross-tier interference, joint detection of the uplink signals is widely adopted so that a Pico-BS can either detect the uplink signals locally or forward them to the Macro-BS for processing. The latter can achieve increased throughput at the cost of additional backhaul transmission. However, in existing literature the delay of the backhaul links was often neglected. In this paper, we study the delay-optimal uplink scheduling problem in HetNets with limited backhaul capacity. Local signal detection or joint signal detection is scheduled in a unified delay-optimal framework. Specifically, we first prove that the problem is NP-hard and then formulate it as a Markov Decision Process problem. We propose an efficient and effective algorithm, called OLIUS, that can deal with the exponentially growing state and action spaces. Furthermore, OLIUS is online learning based which does not require any prior statistical knowledge on user behavior or channel characteristics. We prove the convergence of OLIUS and derive an upper bound on its approximation error. Extensive experiments in various scenarios show that our algorithm outperforms existing methods in reducing delay and power consumption.-
dc.languageeng-
dc.publisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000359-
dc.relation.ispartofIEEE INFOCOM - IEEE Conference on Computer Communications-
dc.rightsIEEE INFOCOM - IEEE Conference on Computer Communications. Copyright © IEEE Computer Society.-
dc.titleOnline Learning based Uplink Scheduling in HetNets with Limited Backhaul Capacity-
dc.typeConference_Paper-
dc.identifier.emailLau, FCM: fcmlau@cs.hku.hk-
dc.identifier.authorityLau, FCM=rp00221-
dc.identifier.doi10.1109/INFOCOM.2018.8486336-
dc.identifier.hkuros292911-
dc.identifier.spage2348-
dc.identifier.epage2356-
dc.publisher.placeUnited States-

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