Energy Efficient Wireless Networks Towards Green Communications

Sanctis, Mauro De; Cianca, Ernestina; Joshi, V. V.

doi:10.1007/s11277-011-0244-4

Cited by 35 publications

(14 citation statements)

References 34 publications

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“…As a first result, it is worth noting that the energy efficiency is maximized by a given value of the RSSI. This is an experimental confirmation of the result analytically presented in [17] and [18], where the signal to noise ratio (SNR) was used instead of the RSSI. As can be noticed from the comparison of figures 5 and 6, the maximum value of the energy efficiency is almost one order of magnitude lower when an interfering Wi-Fi node is present.…”

Section: Communication Systems For Emergency Servicessupporting

confidence: 83%

SALICE project: Satellite-Assisted Localization and Communication Systems for Emergency Services

Jayousi

Morosi

et al. 2013

IEEE Aerosp. Electron. Syst. Mag.

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Section: Communication Systems For Emergency Servicessupporting

confidence: 83%

SALICE project: Satellite-Assisted Localization and Communication Systems for Emergency Services

Jayousi

Morosi

et al. 2013

IEEE Aerosp. Electron. Syst. Mag.

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“…This design paradigm is also synchronized with global priorities on energy management, where recently published figures suggest that 3% [1] of the world-wide energy is consumed by ICT infrastructures, inducing about 2% [1] of the world-wide CO2 emissions. In reaction towards these global trends, the 3GPP standards [2] are currently considering new energy-efficient approaches into the design of beyond fourth generation (4G) mobile networks across the entire protocol stack from physical layer to networking, in unison with new resource scheduling strategies.…”

Section: Introductionmentioning

confidence: 99%

QoS aware energy-efficient resource scheduling for HetNet CoMP

Huq

Mumtaz

Rodrı́guez

2015

2015 IEEE International Conference on Communications (ICC)

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In this paper, the energy-efficient resource scheduling is investigated considering quality of service (QoS) constraints for OFDMA based heterogeneous network (HetNet). The energy efficiency (EE) is measured as "throughput (bits) per Joule", while the power consumption model includes RF transmit and circuit power (i.e. feeder loss, cite cooling, signal processing). Compared to existing literature on QoS aware method which mainly consider sum throughput or total transmission power as objective function for optimization, we investigate and model an optimization problem to maximize the EE subject to users' QoS requirements. Given QoS (data rate) requirement for maximizing EE, a constrained based optimization problem is devised. Since the optimization problem is non-convex in nature, we reconstruct the optimization problem as a convex one and devise a pragmatically efficient novel resource assignment algorithm for maximizing achievable EE with quick convergence. The considered optimization problem is transformed into a convex optimization problem by redefining the constraint using the cubic inequality satisfying certain conditions to prove non-negativity, which leads to the problem to be solve as a convex optimization method and results in an efficient iterative resource allocation algorithm. In each iteration, the transformed problem is solved by using Lagrangian dual decomposition with a projected gradient method. Analytical insights and numerical results exhibit the potency of the devised scheme for the targeted complex wireless systems. Our analysis also provides design guidelines for the future design and deployment of green wireless networks as approach the 5G era.

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“…"bits per Joule". This design paradigm is also synchronized with global priorities on energy management, where recently published figures suggest that 3% [2] of the world-wide energy is consumed by ICT infrastructures, inducing about 2% [2] of the world-wide CO 2 emissions. In reaction towards these global trends, the 3GPP standards are currently considering new energy efficient approaches into the design of 4 th generation (4G) or beyond 4G mobile networks [3] across the entire protocol stack from physical layer to networking, in unison with new networking topologies and deployment strategies.…”

Section: Introductionmentioning

confidence: 99%

Green HetNet CoMP: Energy Efficiency Analysis and Optimization

Huq

Mumtaz

Bachmatiuk

et al. 2015

IEEE Trans. Veh. Technol.

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This paper investigates advanced energy-efficient wireless systems in orthogonal frequency division multiple access (OFDMA) downlink networks using coordinated multi-point (CoMP) transmissions between the base stations (BSs) in heterogeneous network (HetNet) which is adopted by 3GPP LTE-Advanced to meet IMT-Advanced targets. HetNet CoMP has received significant attention as a way of achieving spectral efficiency (SE) and energy efficiency (EE). Usually, in the literature, the total network power consumption is restricted to the sum of the power consumption of all BSs. In mobile networks, the backhaul contribution to the total power consumption is usually overlooked due to its limited impact compared to that of the radio base stations. For SE and EE analysis of HetNet CoMP, the energy and bandwidth consumption of the backhaul is considered without which the investigation remains incomplete. However, SE and EE are design criteria in conflict with each other and a careful study of their trade-off is mandatory for designing future wireless communication systems. The EE is measured as "throughput (bits) per Joule", while the power consumption model includes RF transmit, circuit and backhaul power. Furthermore, a non-ideal backhaul model such as Microwave link is also investigated within intra-HetNet-CoMP (inside one cell) where implementing fiber is not feasible. A novel inter-cell interference (ICI) coordination method is also studied to mitigate ICI. At the end, a novel resource allocation algorithm is proposed-modeled as an optimization problem-which takes into account the total power consumption, including radiated, circuit and backhaul power, and the minimum required data rate to maximize EE. Given the SE requirement, the EE optimization problem is formulated as a constrained optimization problem. The considered optimization problem is transformed into a convex optimization problem by redefining the constraint using cubic inequality, which results in an efficient iterative resource allocation algorithm. In each iteration, the transformed problem is solved by using dual decomposition with a projected gradient method. Simulations results demonstrate how backhaul has a significant impact on total power consumption and the effectiveness of the proposed schemes. In addition, the results demonstrate that the proposed iterative resource allocation algorithm converges with in a small number of iterations and illustrate the fundamental trade-offs between SE and EE. Our analytical results shed light on future "green" network planning in advanced OFDMA wireless systems such as envisioned for 5G system.

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Energy Efficient Wireless Networks Towards Green Communications

Cited by 35 publications

References 34 publications

SALICE project: Satellite-Assisted Localization and Communication Systems for Emergency Services

SALICE project: Satellite-Assisted Localization and Communication Systems for Emergency Services

QoS aware energy-efficient resource scheduling for HetNet CoMP

Green HetNet CoMP: Energy Efficiency Analysis and Optimization

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