LTE RF subsystem power consumption modeling

Deogratius Musiige; Laulagnet Vincent; François Anton; Darka Mioc

doi:10.1109/GCCE.2012.6379941

LTE RF subsystem power consumption modeling

Deogratius Musiige, Laulagnet Vincent, François Anton, Darka Mioc

Renesas Mobile Europe Oy

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

This paper presents a new power consumption emulation model, for all possible scenarios of the RF subsystem, when transmitting a LTE signal. The model takes the logical interface parameters, Tx power, carrier frequency and bandwidth between the baseband and RF subsystem as inputs to compute the power consumption. An analysis of modeling approaches was conducted and the modeling approach with the least sum of squared errors is used to compute the emulation model. The neural networks applying the Pseudo-Gauss Newton algorithm for optimization proved to have the least sum of squared errors. This approach was validated against a real life scenario with a relative error of 5.77%.

Original language	English
Title of host publication	2012 IEEE 1st Global Conference on Consumer Electronics (GCCE)
Publisher	IEEE
Publication date	2012
Pages	645-649
ISBN (Print)	978-1-4673-1500-5
DOIs	https://doi.org/10.1109/GCCE.2012.6379941
Publication status	Published - 2012
Event	1st IEEE Global Conference on Consumer Electronics (GCCE 2012) - Tokyo, Japan Duration: 2 Oct 2012 → 5 Oct 2012 http://www.ieee-gcce.org/2012/

Conference

Conference	1st IEEE Global Conference on Consumer Electronics (GCCE 2012)
Country/Territory	Japan
City	Tokyo
Period	02/10/2012 → 05/10/2012
Internet address	http://www.ieee-gcce.org/2012/

Keywords

Modem platform
Neural networks
Baseband
RF subsystem
LTE
Logical interface
Emulation
Tx power
System Level

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title = "LTE RF subsystem power consumption modeling",

abstract = "This paper presents a new power consumption emulation model, for all possible scenarios of the RF subsystem, when transmitting a LTE signal. The model takes the logical interface parameters, Tx power, carrier frequency and bandwidth between the baseband and RF subsystem as inputs to compute the power consumption. An analysis of modeling approaches was conducted and the modeling approach with the least sum of squared errors is used to compute the emulation model. The neural networks applying the Pseudo-Gauss Newton algorithm for optimization proved to have the least sum of squared errors. This approach was validated against a real life scenario with a relative error of 5.77%.",

keywords = "Modem platform, Neural networks, Baseband, RF subsystem, LTE, Logical interface, Emulation, Tx power, System Level",

author = "Deogratius Musiige and Laulagnet Vincent and Fran{\c c}ois Anton and Darka Mioc",

year = "2012",

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AU - Vincent, Laulagnet

AU - Anton, François

AU - Mioc, Darka

PY - 2012

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N2 - This paper presents a new power consumption emulation model, for all possible scenarios of the RF subsystem, when transmitting a LTE signal. The model takes the logical interface parameters, Tx power, carrier frequency and bandwidth between the baseband and RF subsystem as inputs to compute the power consumption. An analysis of modeling approaches was conducted and the modeling approach with the least sum of squared errors is used to compute the emulation model. The neural networks applying the Pseudo-Gauss Newton algorithm for optimization proved to have the least sum of squared errors. This approach was validated against a real life scenario with a relative error of 5.77%.

AB - This paper presents a new power consumption emulation model, for all possible scenarios of the RF subsystem, when transmitting a LTE signal. The model takes the logical interface parameters, Tx power, carrier frequency and bandwidth between the baseband and RF subsystem as inputs to compute the power consumption. An analysis of modeling approaches was conducted and the modeling approach with the least sum of squared errors is used to compute the emulation model. The neural networks applying the Pseudo-Gauss Newton algorithm for optimization proved to have the least sum of squared errors. This approach was validated against a real life scenario with a relative error of 5.77%.

KW - Modem platform

KW - Neural networks

KW - Baseband

KW - RF subsystem

KW - LTE

KW - Logical interface

KW - Emulation

KW - Tx power

KW - System Level

U2 - 10.1109/GCCE.2012.6379941

DO - 10.1109/GCCE.2012.6379941

M3 - Article in proceedings

SN - 978-1-4673-1500-5

SP - 645

EP - 649

BT - 2012 IEEE 1st Global Conference on Consumer Electronics (GCCE)

PB - IEEE

T2 - 1st IEEE Global Conference on Consumer Electronics (GCCE 2012)

Y2 - 2 October 2012 through 5 October 2012

ER -

LTE RF subsystem power consumption modeling

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