A Novel Power Consumption Model for Effective Energy Efficiency in Wireless Networks

Sinaie, Mahnaz; Zappone, Alessio; Jorswieck, Eduard A.; Azmi, Paeiz

doi:10.1109/lwc.2015.2512259

Cited by 40 publications

(36 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides the widely considered maximum power constraint, more recently quality of service (QoS) constraints have started being enforced. This includes minimum rate guarantees [47], [52], minimum delay constraints [53], [54], maximal delay bound constraints [55], and interference temperature constraints, typically enforced in underlay systems [30], [56].…”

Section: Resource Allocationmentioning

confidence: 99%

A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

Buzzi

Chih‐Lin

Klein

et al. 2016

IEEE J. Select. Areas Commun.

Self Cite

697

431

View full text Add to dashboard Cite

Abstract-After about a decade of intense research, spurred by both economic and operational considerations, and by environmental concerns, energy efficiency has now become a key pillar in the design of communication networks. With the advent of the fifth generation of wireless networks, with millions more base stations and billions of connected devices, the need for energy-efficient system design and operation will be even more compelling. This survey provides an overview of energy-efficient wireless communications, reviews seminal and recent contribution to the state-of-the-art, including the papers published in this special issue, and discusses the most relevant research challenges to be addressed in the future.

show abstract

Section: Resource Allocationmentioning

confidence: 99%

A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

Buzzi

Chih‐Lin

Klein

et al. 2016

IEEE J. Select. Areas Commun.

Self Cite

697

431

View full text Add to dashboard Cite

show abstract

“…2) assume that p w equals the ratio of the average arrival rate to the average service rate p ratio = µ/E[C] (used in Sinaie's work [7]) and…”

Section: Resultsmentioning

confidence: 99%

“…In this respect, (7) is termed the delay-outage probability; the target delay-outage constraint for a traffic flow can be specified by the pair {D max , ε}.…”

Section: B Power Control Under Target Delay-outage Constraintsmentioning

confidence: 99%

Use of two-mode circuitry and optimal energy efficient power control under target delay-outage constraints

Chen

et al. 2017

2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

View full text Add to dashboard Cite

An accurate energy efficiency analytical model based on a two-mode circuitry was recently proposed; and the model showed that the use of this circuitry can significantly improve a system's energy efficiency. In this paper, we use this analytical model to develop a new power control scheme, a scheme that is capable of allocating a minimum transmission power precisely within the delayoutage probability constraint. Precision brings substantial benefits as numerical results show that the energy efficiency using our scheme is much higher than other schemes. Results further suggest that data rate values affect energy efficiency non-uniformly, i.e., there exists a specific data rate value that achieves maximum energy efficiency.978-1-5386-3531-5/17/$31.00 c 2017 IEEE

show abstract

“…Thus, we need to account for the case when the buffer is empty. Accordingly, we apply the model considered in [12] to networks operating in the finite blocklength regime with non-vanishing probability of error . We investigate the effect of EEE maximization with EBP and compare it to the case of always full buffer.…”

Section: Empty Buffer Probability Modelmentioning

confidence: 99%

On the effective energy efficiency of ultra-reliable networks in the finite blocklength regime

Shehab

Dosti

Alves

2017

2017 International Symposium on Wireless Communication Systems (ISWCS)

View full text Add to dashboard Cite

Effective Capacity (EC) indicates the maximum communication rate subject to a certain delay constraint while effective energy efficiency (EEE) denotes the ratio between EC and power consumption. In this paper, we analyze the EEE of ultra-reliable networks operating in the finite blocklength regime. We obtain a closed form approximation for the EEE in Rayleigh block fading channels as a function of power, error probability, and delay. We show the optimum power allocation strategy for maximizing the EEE in finite blocklength transmission which reveals that Shannon's model underestimates the optimum power when compared to the exact finite blocklength model. Furthermore, we characterize the buffer constrained EEE maximization problem for different power consumption models. The results show that accounting for empty buffer probability (EBP) and extending the maximum delay tolerance jointly enhance the EC and EEE.

show abstract

A Novel Power Consumption Model for Effective Energy Efficiency in Wireless Networks

Cited by 40 publications

References 16 publications

A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

Use of two-mode circuitry and optimal energy efficient power control under target delay-outage constraints

On the effective energy efficiency of ultra-reliable networks in the finite blocklength regime

Contact Info

Product

Resources

About