Joint mode selection, channel allocation and power assignment for green device-to-device communications

Gao, Chenfei; Sheng, Xiang; Tang, Jian; Zhang, Weiyi; Zou, Shihong; Guizani, Mohsen

doi:10.1109/icc.2014.6883315

Cited by 52 publications

(49 citation statements)

References 12 publications

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“…User-2 can estimate the channel gain of the D2D link by detecting the D2D beacon transmitted by user-1, and report this information to the BS. The BS then solves the mode selection problem (verifying conditions (10) or (11), depending on the desired energy consumption to minimize), and broadcasts the decision together with the allocated resources to the mobile users.…”

Section: Implementation Guidelinementioning

confidence: 99%

“…In [9], the authors address the mode selection problem of a single pair of mobile users with two dual performance objectives: to maximize the quality-of-service (QoS) for a given transmit power, and to minimize the power for a given QoS. The latter formulation has later been extended to the multiple link case in OFDMA-based networks [10], but the multi-link formulation has high computational complexity and was solved using heuristic approaches.…”

Section: Introductionmentioning

confidence: 99%

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Mode selection for energy efficient D2D communications in dynamic TDD systems

Penda

Johansson

2015

2015 IEEE International Conference on Communications (ICC)

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Abstract-Network-assisted Device-to-Device (D2D) communication is a promising technology for improving the performance of proximity-based services. This paper demonstrates how D2D communication can be used to improve the energy-efficiency of cellular networks, leading to a greener system operation and a prolonged battery life of the mobile devices. Assuming a flexible TDD system, we develop optimal mode selection policies for minimizing the energy cost (either from the system or from the device perspective) while guaranteeing a certain rate requirement. The jointly optimal transmit power and time allocation, as well as the optimal mode selection, is found by solving a small convex optimization problem. Special attention is given to the geometrical interpretation of the obtained results. We show that when network energy is the primary concern, D2D mode is preferable in a large portion of the cell. When the device energy consumption is most important, on the other hand, the area where D2D mode is preferable shrinks and becomes close to circular. Finally, we investigate how network parameters affect the range where direct communication is preferred.Index Terms-Network-assisted Device-to-Device, Mode Selection, TDD-LTE, Energy Efficient Communications I. INTRODUCTION During the last decade, the number of mobile subscribers and their traffic demand has increased tremendously, resulting in a larger energy consumption for cellular networks. Furthermore, the battery lifetime of mobile devices has been reduced considerably. Network-assisted Device-to-Device (D2D) communication is a promising technology to improve energy efficiency in future wireless networks: when mobile users in proximity to each other need to exchange data at high rate (e.g. media sharing, gaming, and other proximity-based services [1,2]), direct communication can potentially offload the BS and improve throughput, delay and energy consumption [3,4].A natural question in the context of D2D communication is under which condition two users should communicate through a direct link rather than via the BS. We call this problem the mode selection problem. The optimal mode selection naturally depends on the performance measure that we would like to optimize. For example, the authors in [5] select the transmission mode to maximize user rate in both single-cell and multiple-cell scenarios, while satisfying SINR constraints on active cellular links. In [6] and [7], the authors focus on maximizing the power-efficiency of the network. A joint mode selection and resource allocation problem in a multicell scenario is presented in [8] and shown to be NP-Hard. In [9], the authors address the mode selection problem of

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Section: Implementation Guidelinementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mode selection for energy efficient D2D communications in dynamic TDD systems

Penda

Johansson

2015

2015 IEEE International Conference on Communications (ICC)

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“…It has been recently shown that there are more than four million base stations (BSs) each consuming an average of 2.3MWh per month [2], and the volume of newly deployed BSs is growing exponentially, especially in the developing counties. Such an extreme energy consumption burden has its influence on the energy costs, greenhouse effect, and global impact on climate in general [3].…”

Section: Introductionmentioning

confidence: 99%

Mobility‐Centric Analysis of Communication Offloading for Heterogeneous Internet of Things Devices

Kozyrev

Ometov

Moltchanov

et al. 2018

Wireless Communications and Mobile Computing

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Today, the number of interconnected Internet of Things (IoT) devices is growing tremendously followed by an increase in the density of cellular base stations. This trend has an adverse effect on the power efficiency of communication, since each new infrastructure node requires a significant amount of energy. Numerous enablers are already in place to offload the scarce cellular spectrum, thus allowing utilization of more energy-efficient short-range radio technologies for user content dissemination, such as moving relay stations and network-assisted direct connectivity. In this work, we contribute a new mathematical framework aimed at analyzing the impact of network offloading on the probabilistic characteristics related to the quality of service and thus helping relieve the energy burden on infrastructure network deployments.

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“…Since we have ensured power feasibility only for communications in cellular mode, we need to verify that r max ll T ≤ b l before applying (13). It turns out to be more convenient to work with the extended value function…”

Section: ) Minimum Energy Cost For Communication In Cellular Modementioning

confidence: 99%

“…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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Joint mode selection, channel allocation and power assignment for green device-to-device communications

Cited by 52 publications

References 12 publications

Mode selection for energy efficient D2D communications in dynamic TDD systems

Mode selection for energy efficient D2D communications in dynamic TDD systems

Mobility‐Centric Analysis of Communication Offloading for Heterogeneous Internet of Things Devices

Energy Efficient D2D Communications in Dynamic TDD Systems

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