Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/597377
Title: Balanced Dynamic Planning in Green Heterogeneous Cellular Networks
Authors: Mohamed Kashef;Muhammad Ismail;Erchin Serpedin;Khalid Qaraqe
subject: dynamic planning|Energy efficient communications|green communications|base station switching
Year: 2016
Publisher: IEEE
Abstract: Dynamic planning has been used by network operators for energy saving by switching ON-OFF base stations (BSs) according to the traffic load condition while providing quality-of-service (QoS) guarantee for mobile users. In the literature, research efforts focus mainly on satisfying the QoS of downlink mobile users. However, the impact of dynamic planning on the QoS of uplink mobile users is overlooked. A dynamic planning approach that relies only on the downlink performance of mobile users to determine the BS switching decision can result in deactivating nearby small cells and associating uplink mobile users to a faraway macro BS. Consequently, uplink mobile users may suffer from QoS degradation due to the longer transmission distance. Hence, while saving energy for the network operators and satisfying the downlink QoS, the uplink QoS could be violated. In this paper, we propose a balanced dynamic planning approach that accounts for QoS requirements both in the uplink and downlink to specify the BS switching decision. The switching decision is formulated as a two-timescale average reward Markov decision process with finite horizon. Due to computational complexity, sub-optimal algorithms are proposed. Simulation results demonstrate the trade-off between energy saving and QoS guarantee.
Description: 
URI: http://localhost/handle/Hannan/177445
http://localhost/handle/Hannan/597377
ISSN: 0733-8716
volume: 34
issue: 12
Appears in Collections:2016

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Title: Balanced Dynamic Planning in Green Heterogeneous Cellular Networks
Authors: Mohamed Kashef;Muhammad Ismail;Erchin Serpedin;Khalid Qaraqe
subject: dynamic planning|Energy efficient communications|green communications|base station switching
Year: 2016
Publisher: IEEE
Abstract: Dynamic planning has been used by network operators for energy saving by switching ON-OFF base stations (BSs) according to the traffic load condition while providing quality-of-service (QoS) guarantee for mobile users. In the literature, research efforts focus mainly on satisfying the QoS of downlink mobile users. However, the impact of dynamic planning on the QoS of uplink mobile users is overlooked. A dynamic planning approach that relies only on the downlink performance of mobile users to determine the BS switching decision can result in deactivating nearby small cells and associating uplink mobile users to a faraway macro BS. Consequently, uplink mobile users may suffer from QoS degradation due to the longer transmission distance. Hence, while saving energy for the network operators and satisfying the downlink QoS, the uplink QoS could be violated. In this paper, we propose a balanced dynamic planning approach that accounts for QoS requirements both in the uplink and downlink to specify the BS switching decision. The switching decision is formulated as a two-timescale average reward Markov decision process with finite horizon. Due to computational complexity, sub-optimal algorithms are proposed. Simulation results demonstrate the trade-off between energy saving and QoS guarantee.
Description: 
URI: http://localhost/handle/Hannan/177445
http://localhost/handle/Hannan/597377
ISSN: 0733-8716
volume: 34
issue: 12
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7728064.pdf1.42 MBAdobe PDFThumbnail
Preview File
Title: Balanced Dynamic Planning in Green Heterogeneous Cellular Networks
Authors: Mohamed Kashef;Muhammad Ismail;Erchin Serpedin;Khalid Qaraqe
subject: dynamic planning|Energy efficient communications|green communications|base station switching
Year: 2016
Publisher: IEEE
Abstract: Dynamic planning has been used by network operators for energy saving by switching ON-OFF base stations (BSs) according to the traffic load condition while providing quality-of-service (QoS) guarantee for mobile users. In the literature, research efforts focus mainly on satisfying the QoS of downlink mobile users. However, the impact of dynamic planning on the QoS of uplink mobile users is overlooked. A dynamic planning approach that relies only on the downlink performance of mobile users to determine the BS switching decision can result in deactivating nearby small cells and associating uplink mobile users to a faraway macro BS. Consequently, uplink mobile users may suffer from QoS degradation due to the longer transmission distance. Hence, while saving energy for the network operators and satisfying the downlink QoS, the uplink QoS could be violated. In this paper, we propose a balanced dynamic planning approach that accounts for QoS requirements both in the uplink and downlink to specify the BS switching decision. The switching decision is formulated as a two-timescale average reward Markov decision process with finite horizon. Due to computational complexity, sub-optimal algorithms are proposed. Simulation results demonstrate the trade-off between energy saving and QoS guarantee.
Description: 
URI: http://localhost/handle/Hannan/177445
http://localhost/handle/Hannan/597377
ISSN: 0733-8716
volume: 34
issue: 12
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7728064.pdf1.42 MBAdobe PDFThumbnail
Preview File