Energy-Efficient Resource Sharing for Mobile Device-to-Device Multimedia Communications

Wu, Dan; Wang, Jinlong; Hu, Rose Qingyang; Cai, Yueming; Zhou, Liang

doi:10.1109/tvt.2014.2311580

Cited by 227 publications

(129 citation statements)

References 23 publications

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“…Several works have investigated this joint problem [8]- [10], mainly developing mixed-integer programming models and dealing with NP-hard formulations. Hence, heuristics [11]- [13] and game-theoretic approaches [14] have also been explored as more practical alternatives.…”

Section: Arxiv:150600412v1 [Csit] 1 Jun 2015mentioning

confidence: 99%

Energy Efficient D2D Communications in Dynamic TDD Systems

Penda

Johansson

2017

IEEE Trans. Commun.

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Network-assisted device-to-device communication is a promising technology for improving the performance of proximity-based services. This paper demonstrates how the integration of device-todevice communications and dynamic time-division duplex can improve the energy efficiency of future cellular networks, leading to a greener system operation and a prolonged battery lifetime of mobile devices. We jointly optimize the mode selection, transmission period and power allocation to minimize the energy consumption (from both a system and a device perspective) while satisfying a certain rate requirement. The radio resource management problems are formulated as mixed-integer nonlinear programming problems. Although they are known to be NP-hard in general, we exploit the problem structure to design efficient algorithms that optimally solve several problem cases. For the remaining cases, a heuristic algorithm that computes near-optimal solutions while respecting practical constraints on execution times and signaling overhead is also proposed. Simulation results confirm that the combination of device-to-device and flexible time-division-duplex technologies can significantly enhance spectrumand energy-efficiency of next generation cellular systems.

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Section: Arxiv:150600412v1 [Csit] 1 Jun 2015mentioning

confidence: 99%

Energy Efficient D2D Communications in Dynamic TDD Systems

Penda

Johansson

2017

IEEE Trans. Commun.

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“…(2) cache update: how to update each UE's cache in the context of mobile opportunistic meeting environment without exceeding UE capacity or bandwidth resource? These two issues interact with each other; thus, the challenging problem concerning on QoE-driven network service has arisen across the dynamic networks and multiple UE [12].…”

Section: Related Workmentioning

confidence: 99%

“…With the propagation of the content delivery cooperative transmission technologies, D2D communication is considered as one of the most promising techniques for the next generation communication or new mobile applications, and it has recently received a substantial amount of interest [1][2][3]. Therefore, such D2D communication makes it possible to provide large heterogeneous media content services, such as HD (High Definition) video stream service, lossless music service, or website service for moving UE (User Equipment) [4].…”

Section: Introductionmentioning

confidence: 99%

QoE-Driven D2D Media Services Distribution Scheme in Cellular Networks

Chen

Wang

Chen

et al. 2017

Wireless Communications and Mobile Computing

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Device-to-device (D2D) communication has been widely studied to improve network performance and considered as a potential technological component for the next generation communication. Considering the diverse users' demand, Quality of Experience (QoE) is recognized as a new degree of user's satisfaction for media service transmissions in the wireless communication. Furthermore, we aim at promoting user's Mean of Score (MOS) value to quantify and analyze user's QoE in the dynamic cellular networks. In this paper, we explore the heterogeneous media service distribution in D2D communications underlaying cellular networks to improve the total users' QoE. We propose a novel media service scheme based on different QoE models that jointly solve the massive media content dissemination issue for cellular networks. Moreover, we also investigate the so-called Media Service Adaptive Update Scheme (MSAUS) framework to maximize users' QoE satisfaction and we derive the popularity and priority function of different media service QoE expression. Then, we further design Media Service Resource Allocation (MSRA) algorithm to schedule limited cellular networks resource, which is based on the popularity function to optimize the total users' QoE satisfaction and avoid D2D interference. In addition, numerical simulation results indicate that the proposed scheme is more effective in cellular network content delivery, which makes it suitable for various media service propagation.

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“…The study has also taken the case study of OFDMA-based mobile networks especially focusing on base station power reduction. Wu et al [21] present a simple analytical framework that performs sharing of nodes to obtain energy efficiency. The authors have addressed the problem pertaining to resource sharing using a technique based on merging and splitting protocol.…”

Section: Introductionmentioning

confidence: 99%

Novel Optimization to Reduce Power Drainage in Mobile Devices for Multicarrier-based Communication

Prasad¹,

Balaji²

2017

IJECE

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With increasing adoption of multicarrier-based communications e.g. 3G and 4G, the users are significantly benefited with impressive data rate but at the cost of battery life of their mobile devices. We reviewed the existing techniques to find an open research gap in this regard. This paper presents a novel framework where an optimization is carried out with the objective function to maintain higher level of equilibrium between maximized data delivery and minimized transmit power. An analytical model considering multiple radio antennae in the mobile device is presented with constraint formulations of data quality and threshold power factor. The model outcome is evaluated with respect to amount of power being conserved as performance factor. The study was found to offer maximum energy conservation and the framework also suits well with existing communication system of mobile networks. Keywords: 3G Battery lifetime Mobile device Multicarrier transmission Power Copyright © 2017 Institute of Advanced Engineering and Science.All rights reserved. Corresponding Author:Shalini PrasadResearch Scholar, Jain Univeristy, Department of Electronics and Communication Engineering, City Engineering College, Bengaluru, IndiaEmail:-shaliniphdjain@gmail.com INTRODUCTIONWith the advancement of telecommunication standards, the users are now flooded with numerous services of wireless communication systems [1]. This has led to various forms of mobile applications that offer a good pervasive computing integrated with mobile networks [2]. A legacy 2G service uses a simple mechanism of transmitting the signal, which doesn't demand more power to be used by the mobile device. With evolution of 3G and 4G networks, there is a significant growth of multicarrier communication standards that potentially increases the data rates in mobile communication [3]. Usage of multicarrier-based communication standards offers higher data transmission that positively attracts users to use certain mobile applications that are highly inclined on performing parallel processing. Unfortunately, such forms of events go untracked by the users for which sufficient counter measures are difficult to be taken. Deployment of such forms of the network majorly uses OFDM (Orthogonal Frequency Division Multiplexing), which already suffers from PAPR (Peak-Average-to Power Ratio) [4] [5]. Therefore, usage of 3G or 4G network offers maximized rate of data transmission but at the cost of battery life of the mobile device. The existing mobile applications for power conservation are discretely programmed to identify certain specific threads that finally suppressed it [6]. Such a program doesn't help much in minimizing the battery consumption of a mobile device as it cannot identify the dynamic threads running over it. Hence, it is quite a challenging task to ensure the power conservation in the mobile devices. From the research viewpoint, it can be seen that there are very few computational models to identify the sources of power dissipation and to minimize it. Studies like [7] [8]

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Energy-Efficient Resource Sharing for Mobile Device-to-Device Multimedia Communications

Cited by 227 publications

References 23 publications

Energy Efficient D2D Communications in Dynamic TDD Systems

Energy Efficient D2D Communications in Dynamic TDD Systems

QoE-Driven D2D Media Services Distribution Scheme in Cellular Networks

Novel Optimization to Reduce Power Drainage in Mobile Devices for Multicarrier-based Communication

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