On the effective energy efficiency of ultra-reliable networks in the finite blocklength regime
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....
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Published in | International Symposium on Wireless Communication Systems pp. 275 - 280 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.08.2017
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Subjects | |
Online Access | Get full text |
ISSN | 2154-0225 |
DOI | 10.1109/ISWCS.2017.8108124 |
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Abstract | 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. Further-more, 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. |
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AbstractList | 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. Further-more, 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. |
Author | Latva-aho, Matti Alves, Hirley Shehab, Mohammad Dosti, Endrit |
Author_xml | – sequence: 1 givenname: Mohammad surname: Shehab fullname: Shehab, Mohammad email: mohammad.shehab@oulu.fi organization: Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland – sequence: 2 givenname: Endrit surname: Dosti fullname: Dosti, Endrit email: endrit.dosti@oulu.fi organization: Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland – sequence: 3 givenname: Hirley surname: Alves fullname: Alves, Hirley email: hirley.alves@oulu.fi organization: Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland – sequence: 4 givenname: Matti surname: Latva-aho fullname: Latva-aho, Matti email: matti.latva-aho@oulu.fi organization: Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland |
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Snippet | Effective Capacity (EC) indicates the maximum communication rate subject to a certain delay constraint while effective energy efficiency (EEE) denotes the... |
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SubjectTerms | Delays Fading channels Machine-to-machine communications Mathematical model Power demand Resource management Signal to noise ratio |
Title | On the effective energy efficiency of ultra-reliable networks in the finite blocklength regime |
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