Channel-Aware Opportunistic Transmission Scheduling for Energy-Efficient Wireless Links

Poulakis, Marios I.; Panagopoulos, Athanasios D.; Constantinou, P.

doi:10.1109/tvt.2012.2217387

Cited by 30 publications

(34 citation statements)

References 23 publications

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“…Assuming slotted transmission and changeable packet transmission order, they are able to exploit structural properties of the problem to come up with an algorithm that solves the off-line problem. In [15], Poulakis et. al.…”

Section: Related Workmentioning

confidence: 99%

Optimal on-off control for a class of discrete event systems with real-time constraints

Miao

Jiang

2019

Discrete Event Dyn Syst

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This paper studies an optimal ON-OFF control problem for a class of discrete event systems with real-time constraints. Our goal is to minimize the overall costs, including the operating cost and the wake-up cost, while still guaranteeing the deadline of each individual task. In particular, we consider the homogeneous case in which it takes the same amount of time to serve each task and each task needs to be served by d seconds upon arrival. The problem involves two subproblems: (i) finding the best time to wake up the system and (ii) finding the best time to let the system go to sleep. We study the two subproblems in both off-line and on-line settings. In the off-line case that all task information is known a priori, we combine sample path analysis and dynamic programming to come up with the optimal solution. In the on-line scenario where future task information is completely unknown, we show that the optimal time to wake up the system can be obtained without relying on fu-

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Section: Related Workmentioning

confidence: 99%

Optimal on-off control for a class of discrete event systems with real-time constraints

Miao

Jiang

2019

Discrete Event Dyn Syst

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“…This trend is observed in Figure 2.b that depicts the ratio of retransmitted packets per effective transmission time or airtime. The airtime represents the effective time that the radio channel is actually used during a D2D transmission (including the time needed for 5 With a distance of 30m, the tests last on average approx. 56 seconds with NLOS conditions experienced during approx.…”

Section: B Energy Efficiencymentioning

confidence: 99%

“…throughput compared to conventional relaying. Another relevant contribution is reported in [5] where the authors propose a scheduler that opportunistically schedules data transmissions based on the channel conditions. The proposed scheduler is based on optimal stopping theory, and uses channel state information and the knowledge of the transmission deadline.…”

Section: Introductionmentioning

confidence: 99%

“…The studies reported in [4] and [5] highlight the benefits of opportunistic transmission schemes through analytical and numerical evaluations. It is then necessary to experimentally confirm such benefits for which this paper presents what is to the authors' knowledge the first experimental implementation and evaluation of link-aware opportunistic D2D communications.…”

Section: Introductionmentioning

confidence: 99%

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Link-aware opportunistic D2D communications: Open source test-bed and experimental insights into their energy, capacity and QoS benefits

Moraleda-Soler

Coll-Perales

Gozálvez

2014

2014 11th International Symposium on Wireless Communications Systems (ISWCS)

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Device-to-Device (D2D) communications can efficiently support the growth in mobile data traffic by offloading part of the traffic from the cellular infrastructure. D2D communications are influenced by the propagation conditions between mobile devices that depend on the antenna heights, presence of obstacles, and mobility of devices. Analytical and simulation studies have shown that link-aware opportunistic transmission schemes can improve the reliability and efficiency of D2D communications. This paper goes a step further and experimentally demonstrates the energy, capacity and Quality of Service (QoS) benefits of link-aware opportunistic D2D communications. This is done through a novel test-bed that is here presented and released open source to the community. The developed test-bed modifies the Linux kernel so that it is independent of the particular hardware being used and can be utilized with Commercial Off-The-Shelf (COTS) equipment.

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Section: Introductionmentioning

confidence: 99%

Optimal Energy-Efficient Downlink Transmission Scheduling for Real-Time Wireless Networks

Miao

Mao

Cassandras

2017

IEEE Trans. Control Netw. Syst.

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Abstract-It has been shown that using appropriate channel coding schemes in wireless environments, transmission energy can be significantly reduced by controlling the packet transmission rate. This paper seeks optimal solutions for downlink transmission control problems, motivated by this observation and by the need to minimize energy consumption in real-time wireless networks. Our problem formulation deals with a more general setting than the paper authored by Gamal et. al., in which the MoveRight algorithm is proposed. The MoveRight algorithm is an iterative algorithm that converges to the optimal solution. We show that even under the more general setting, the optimal solution can be efficiently obtained through an approach decomposing the optimal sample path through certain "critical tasks" which in turn can be efficiently identified. We include simulation results showing that our algorithm is significantly faster than the MoveRight algorithm. We also discuss how to utilize our results and receding horizon control to perform online transmission scheduling where future task information is unknown.

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Channel-Aware Opportunistic Transmission Scheduling for Energy-Efficient Wireless Links

Cited by 30 publications

References 23 publications

Optimal on-off control for a class of discrete event systems with real-time constraints

Optimal on-off control for a class of discrete event systems with real-time constraints

Link-aware opportunistic D2D communications: Open source test-bed and experimental insights into their energy, capacity and QoS benefits

Optimal Energy-Efficient Downlink Transmission Scheduling for Real-Time Wireless Networks

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