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Open AccessJournal ArticleDOI

Fundamental trade-offs on green wireless networks

TLDR
In this paper, the authors propose a framework for green radio research and integrate the fundamental issues that are currently scattered, which consists of four fundamental tradeoffs: deployment efficiency, energy efficiency, spectrum efficiency and delay power.
Abstract
Traditional mobile wireless network mainly design focuses on ubiquitous access and large capacity. However, as energy saving and environmental protection become global demands and inevitable trends, wireless researchers and engineers need to shift their focus to energy-efficiency-oriented design, that is, green radio. In this article, we propose a framework for green radio research and integrate the fundamental issues that are currently scattered. The skeleton of the framework consists of four fundamental tradeoffs: deployment efficiency-energy efficiency, spectrum efficiency-energy efficiency, bandwidth-power, and delay-power. With the help of the four fundamental trade-offs, we demonstrate that key network performance/cost indicators are all strung together.

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Citations
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Journal ArticleDOI

Energy efficiency of distributed massive MIMO systems

TL;DR: An optimal energy-efficient remote access unit (RAU) selection algorithm based on the distance between the mobile stations (MSs) and the RAUs are developed to maximize the EE for the downlink distributed massive MIMO systems under the realistic power consumption model.
Proceedings ArticleDOI

Energy efficiency and spectral efficiency trade-off for OFDM systems with imperfect channel estimation

TL;DR: It is shown that the multiobjective optimization of the EE and the SE is equivalent to a simple problem that maximizes the capacity and minimizes the total power consumption, and is proved that the choice of the trade-off parameter is correct.
Journal ArticleDOI

Energy efficient routing algorithm for fiber-wireless access networks: A network formation game approach

TL;DR: The main idea is to exploit the multipath capabilities of the wireless mesh front end of FiWi access networks to create energy efficient routes that optimize the sleeping and active periods of all ONUs and wireless nodes.
Posted Content

A New Energy Efficient Beamforming Strategy for MISO Interfering Broadcast Channels based on Large Systems Analysis

TL;DR: In this article, the authors proposed a new beamforming design to maximize energy efficiency (EE) for multiple input single output interfering broadcast channels (IFBC) under a non-convex EE problem.
Journal ArticleDOI

Machine-to-machine communications energy efficiencies: the implications of different M2M communications specifications

TL;DR: The essence of this paper is to discuss the energy implications of different M2M communication standards on the lifespan of the electronic devices that are to be used for the M 2M communications.
References
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Communication over fading channels with delay constraints

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Proceedings ArticleDOI

Energy Efficiency Aspects of Base Station Deployment Strategies for Cellular Networks

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Journal ArticleDOI

Energy-efficient packet transmission over a wireless link

TL;DR: This paper obtains an optimal offline schedule for a node operating under a deadline constraint, and shows that this lazy schedule is significantly more energy-efficient compared to a deterministic schedule that guarantees queue stability for the same range of arrival rates.
Journal IssueDOI

Cross-layer optimization for energy-efficient wireless communications: a survey

TL;DR: This article presents a comprehensive overview of recent advances in cross-layer design for energy-efficient wireless communications, particularly focus on a system-based approaches toward energy optimal transmission and resource management across time, frequency, and spatial domains.
Proceedings ArticleDOI

EARTH — Energy Aware Radio and Network Technologies

TL;DR: A power efficient transceiver will be developed that adapts to changing traffic load for an energy efficient operation in mobile radio systems and will enable a sustainable increase of mobile data rates.
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