Downlink Power Control for Multi-User VBR Video Streaming in Cellular Networks

Huang, Yingsong; Mao, Shiwen

doi:10.1109/tmm.2013.2270457

Cited by 13 publications

(10 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The constraint (29) represents the minimum video encoding rate constraint at the video encoder. R L n represents the lower bound on video encoding rate, which is the minimum video encoding rate required by each session n to avoid excessive video distortion according to the encoding distortion model in (22).…”

Section: Problem Formulationmentioning

confidence: 99%

Interference-Aware Cross-Layer Design for Distributed Video Transmission in Wireless Networks

Tian

Zhang

et al. 2016

IEEE Trans. Circuits Syst. Video Technol.

View full text Add to dashboard Cite

Cross-layer communication could bring significant performance improvement for wireless communication systems through allowing information exchanges among multiple layers. For delay-sensitive video application, cross-layer optimization could be more critical by jointly considering network resource allocation and application performance requirement, especially in an interference-limited distributed network. To improve the quality of video transmission over an ad-hoc network, this paper proposes a cross-layer scheme to maximize the average received video quality by jointly considering the application performance and network transmission strategy. In this scheme, important system parameters including the distribution of the node and the resulting interference, link transmission policy, queueing delay as well as the video encoding rate are jointly considered to achieve the best received video quality. To this end, a thresholdbased transmission strategy and an interference approximation model are firstly developed. Then, the queueing delay is analyzed based on the M/M/1 queue model. Finally, the problem of maximizing video transmission quality is formulated as a crosslayer optimization problem. To solve this optimization problem, a distributed algorithm is proposed based on the optimization theory and game theory. The convergence performance of this distributed algorithm is analyzed and shown with relatively lower complexity through simulation. Furthermore, both numerical and simulation results show that the proposed scheme improves the system performance considerably based on the comparison with other two existing schemes.

show abstract

Section: Problem Formulationmentioning

confidence: 99%

Interference-Aware Cross-Layer Design for Distributed Video Transmission in Wireless Networks

Tian

Zhang

et al. 2016

IEEE Trans. Circuits Syst. Video Technol.

View full text Add to dashboard Cite

show abstract

“…We develop our algorithm by referring to a few admission control algorithms in wireless networks, though the latter algorithms are not applicable under the scenario of mobile hospital since these algorithms do not take into account the EMI on medical sensors and multiple classes of priority of users. From the perspective of methodology, the algorithms of admission control in wireless networks are composed of two classes: (1) Performance-tracking (TPC) algorithms [12]- [14] and (2) Temporary removal and feasibility check (DFC) algorithms [11], [15]- [17].…”

Section: B Algorithm Of Admission Controlmentioning

confidence: 99%

“…A removed user resumes its transmission when the channel condition turns good again. Yingsong et al in [17] applies the algorithm in [16] into the transmission of video in cellular network. Vu et al in [11] revises the algorithm in [16], and shows that the revised DFC algorithm converges to a fixed point, which can reduce the outage of wireless users as well as the consumed transmit power, as compared to TPC algorithms.…”

Section: B Algorithm Of Admission Controlmentioning

confidence: 99%

Admission Control Over Internet of Vehicles Attached With Medical Sensors for Ubiquitous Healthcare Applications

Lin

Labeau

Yao

et al. 2016

IEEE J. Biomed. Health Inform.

View full text Add to dashboard Cite

Wireless technologies and vehicle-mounted or wearable medical sensors are pervasive to support ubiquitous healthcare applications. However, a critical issue of using wireless communications under a healthcare scenario rests at the electromagnetic interference (EMI) caused by radio frequency transmission. A high level of EMI may lead to a critical malfunction of medical sensors, and in such a scenario, a few users who are not transmitting emergency data could be required to reduce their transmit power or even temporarily disconnect from the network in order to guarantee the normal operation of medical sensors as well as the transmission of emergency data. In this paper, we propose a joint power and admission control algorithm to schedule the users' transmission of medical data. The objective of this algorithm is to minimize the number of users who are forced to disconnect from the network while keeping the EMI on medical sensors at an acceptable level. We show that a fixed point of proposed algorithm always exists, and at the fixed point, our proposed algorithm can minimize the number of low-priority users who are required to disconnect from the network. Numerical results illustrate that the proposed algorithm can achieve robust performance against the variations of mobile hospital environments.

show abstract

“…The flow dynamics have dominant influence on QoE metrics compared to the variation of throughput caused by fast channel fading and that of video playback rate caused by VBR streaming. Authors in [4] proposed algorithms to find This work was supported in part by National Science Foundation grant CCF-1618615, ECCS-1443994 and CNS-1443966. the optimal transmit powers for the base stations with the goal of maximizing the sum transmission rate while VBR video data can be delivered to mobile users without causing playout buffer underflows or overflows.…”

Section: Introductionmentioning

confidence: 99%

Power control and mode selection for VBR video streaming in D2D networks

Gursoy

Velipasalar

2018

2018 IEEE Wireless Communications and Networking Conference (WCNC)

View full text Add to dashboard Cite

In this paper, we investigate the problem of power control for streaming variable-bit-rate (VBR) videos in a deviceto-device (D2D) wireless network. A VBR video traffic model that considers video frame sizes and playout buffers at the mobile users is adopted. A setup with one pair of D2D users (DUs) and one cellular user (CU) is considered and three modes, namely cellular mode, dedicated mode and reuse mode, are employed. Mode selection for the data delivery is determined and the transmit powers of the base station (BS) and device transmitter are optimized with the goal of maximizing the overall transmission rate while VBR video data can be delivered to the CU and DU without causing playout buffer underflows or overflows. A low-complexity algorithm is proposed. Through simulations with VBR video traces over fading channels, we demonstrate that video delivery with mode selection and power control achieves a better performance than just using a single mode throughout the transmission.Index Terms-device-to-device communication, variable bit rate video traffic, mode selection, power control.

show abstract

Downlink Power Control for Multi-User VBR Video Streaming in Cellular Networks

Cited by 13 publications

References 32 publications

Interference-Aware Cross-Layer Design for Distributed Video Transmission in Wireless Networks

Interference-Aware Cross-Layer Design for Distributed Video Transmission in Wireless Networks

Admission Control Over Internet of Vehicles Attached With Medical Sensors for Ubiquitous Healthcare Applications

Power control and mode selection for VBR video streaming in D2D networks

Contact Info

Product

Resources

About