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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

Compressed Sensing Improves the Performance of Subcarrier Index-Modulation-Assisted OFDM

TL;DR: The proposed OFDM-CSIM arrangement is capable of achieving both a higher SE as well as an increased EE and the diversity gain provided by the OFDM -CSIM system is much higher than that of the conventional OfDM-SIM system.
Journal ArticleDOI

Energy-Efficient Bandwidth and Power Allocation for Multi-Homing Networks

TL;DR: This paper investigates resource allocation for multi-homing networks where users can simultaneously transmit data to multiple radio access networks (RANs) using multiple air interfaces and proposes two suboptimal low-complexity designs based on the concept of sparsity-inducing norm.
Journal ArticleDOI

Robust Energy Efficiency Maximization in Cognitive Radio Networks: The Worst-Case Optimization Approach

TL;DR: Simulation results validate that the proposed scheme can improve the worst-case EE of SUs distinctly and strictly guarantee the quality-of-service (QoS) of PUs under all parameters' uncertainties.
Journal ArticleDOI

Green and Sustainable Cellular Base Stations: An Overview and Future Research Directions

TL;DR: In this article, the authors present an overview of sustainable and green cellular base stations (BSs), which account for most of the energy consumed in cellular networks, and summarize the trends in green cellular network research over the past decade.
References
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Journal ArticleDOI

Communication over fading channels with delay constraints

TL;DR: The tradeoff between the average delay and the average transmission power required for reliable communication is analyzed and a dynamic programming formulation is given to find all Pareto optimal power/delay operating points.
Proceedings ArticleDOI

Energy Efficiency Aspects of Base Station Deployment Strategies for Cellular Networks

TL;DR: The results suggest, that for scenarios with full traffic load, the use of micro base stations has a rather moderate effect on the area power consumption of a cellular network.
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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