Cross-Layer Design for Proportional Delay Differentiation and Network Utility Maximization in Multi-Hop Wireless Networks

Zhou, Anfu; Liu, Min; Li, Zhongcheng; Dutkiewicz, Eryk

doi:10.1109/twc.2012.030512.110828

Cited by 36 publications

(28 citation statements)

References 21 publications

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“…Huang et al combined a window-based flow control and a distributed rate-based scheduling with the objective of maximizing the total utility and achieving low end-to-end delay [18]. Zhou et al proposed a joint rate control, routing, and scheduling algorithm to provide proportional delay services [44] or maximize network utility [45]. We focus congestion control and QoS provisioning from the protocol perspective and study a novel joint DQS and Semi-TCP scheme in this paper.…”

Section: Related Workmentioning

confidence: 99%

Joint QoS provisioning and congestion control for multi-hop wireless networks

Chen

Guan

Jiang

et al. 2016

J Wireless Com Network

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The capability of quality-of-service (QoS) provisioning is of particular importance for multi-hop wireless networks when the real-time applications boost in current days. The scheduling and delivery of data packets in a deficient method may probably cause network congestion, which will in turn decrease the capability of QoS provisioning in the network. To this end, we propose a joint QoS provisioning and congestion control scheme for multi-hop wireless network in this paper based on our previous works of Differentiated Queueing Service (DQS) and Semi-TCP, which provide per-packet granular QoS and carry out efficient hop-by-hop congestion control, respectively. While DQS and Semi-TCP are studied separately, we investigate the arising issues in the joint scheme and propose possible solutions accordingly, including a fast estimation of the latest departure time, a method to handle overdue packets, and an adaptive ACK scheme, as well as the design of a shared database cross-layer architecture for the implementation in the protocol stack. Simulation results show that our proposal improves the network performance in terms of goodput, delivery ratio, and end-to-end delay significantly, particularly in the scenario of mobile users. Our discussion and simulation results both indicate that the proposed joint scheme is flexible and adaptive to the dynamic multi-hop wireless network environment.

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Section: Related Workmentioning

confidence: 99%

Joint QoS provisioning and congestion control for multi-hop wireless networks

Chen

Guan

Jiang

et al. 2016

J Wireless Com Network

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“…For future works, we will consider the following directions: [56]. 4) Design a cross-layer framework [57] for HFR wireless video transmission in MU-MIMO networks [58].…”

Section: Componentwise Validationmentioning

confidence: 99%

Enabling Adaptive High-Frame-Rate Video Streaming in Mobile Cloud Gaming Applications

Yuen

Cheung

et al. 2015

IEEE Trans. Circuits Syst. Video Technol.

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High frame rate (HFR) video is emerging in popular gaming applications to enhance the smooth experience perceived by end-users. However, it is challenging to guarantee the delivery quality of HFR video in mobile cloud gaming scenarios because of the high transmission rate and limited wireless resources. To address this critical problem, we develop a novel transmission scheduling framework dubbed AdaPtive HFR vIdeo Streaming (APHIS). The term "adaptive" indicates this scheme's capability in dynamically adjusting the video traffic load and FEC (Forward Error Correction) coding. First, we propose an online video frame selection algorithm to minimize the total distortion based on the network status, input video data and delay constraint. Second, we introduce an unequal FEC coding scheme to provide differentiated protection for Intra (I) and Predicted (P) frames with low-latency cost. The proposed APHIS framework is able to appropriately filter video frames and adjust data protection levels to optimize the quality of HFR video streaming. We conduct extensive emulations in Exata involving HFR video encoded with H.264 codec. Experimental results show that APHIS outperforms the reference transmission schemes in terms of video PSNR (Peak Signal-to-Noise Ratio), end-to-end delay, and goodput. Therefore, we recommend APHIS for delivering HFR video streaming in mobile cloud gaming systems.Index Terms-High frame rate video, mobile cloud gaming, video frame selection, unequal error protection, forward error correction.

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“…Second, we multiply each term of the flow conservation constraint in (27) by the delay priority p ðf Þ , as we have done in our earlier work [37]. Although the equation remains equivalent after we add the delay priority, we will find later in Algorithm 2 that the delay priority p ðf Þ plays an important role in packet scheduling: a higher p ðf Þ increases the backlog differential of flow f and consequently the packets of the flow are scheduled preferentially.…”

Section: Incorporating Delay Differentiation Into Clc_dgsmentioning

confidence: 99%

“…The proof is a direct extension of the proof in Appendix B, and is not hard to derive based on the proof in our earlier work [37], so we omit it here.…”

Section: Algorithm 2 Clc_dgs_dd: Cross-layer Control Algorithm With mentioning

confidence: 99%

Cross-layer design with optimal dynamic gateway selection for wireless mesh networks

Zhou

Liu

et al. 2015

Computer Communications

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Cross-Layer Design for Proportional Delay Differentiation and Network Utility Maximization in Multi-Hop Wireless Networks

Cited by 36 publications

References 21 publications

Joint QoS provisioning and congestion control for multi-hop wireless networks

Joint QoS provisioning and congestion control for multi-hop wireless networks

Enabling Adaptive High-Frame-Rate Video Streaming in Mobile Cloud Gaming Applications

Cross-layer design with optimal dynamic gateway selection for wireless mesh networks

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