Energy Efficiency and Spectral Efficiency Trade-off for OFDM Systems with Imperfect Channel Estimation

Osama Amin, Ebrahim Bedeer Mohamed, Mohamed Hossam Ahmed, Octavia A. Dobre

Research output: Contribution to journalConference article

7 Citations (Scopus)

Abstract

In this paper, the power loading problem for orthogonal frequency division multiplexing (OFDM) with imperfect channel estimation is investigated considering the trade-off between energy efficiency (EE) and spectral efficiency (SE). Unlike traditional research that uses the EE as an objective function and imposes constraints either on the SE or the achievable rate, we propound a multiobjective optimization approach that can flexibly switch between the EE and the SE functions or change the priority level of each function using a trade-off parameter. Our dynamic approach is more tractable than conventional approaches and more convenient to realistic communication applications and scenarios. The system model considers the path loss and shadowing effect in modeling the EE and SE metrics, in addition to taking the channel estimation error into account. We first solve the marginal problems of maximizing the EE and the SE individuality, and then prove that the multiobjective optimization of the EE and the SE is equivalent to a simple problem that maximizes the capacity and minimizes the total power consumption. Finally, we use numerical results to discuss the choice of the trade-off parameter and study the effect of the estimation error, transmission power budget and channel-to-noise ratio on the multiobjective optimization.

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Channel estimation
Orthogonal frequency division multiplexing
Energy efficiency
Multiobjective optimization
Power transmission
Error analysis
Electric power utilization
Switches
Communication

Keywords

  • Optimization
  • Linear programming
  • Channel estimation
  • Loading
  • Measurement
  • OFDM
  • Power demand

Cite this

@article{728e6445623c41a5b934e8da4def5c6d,
title = "Energy Efficiency and Spectral Efficiency Trade-off for OFDM Systems with Imperfect Channel Estimation",
abstract = "In this paper, the power loading problem for orthogonal frequency division multiplexing (OFDM) with imperfect channel estimation is investigated considering the trade-off between energy efficiency (EE) and spectral efficiency (SE). Unlike traditional research that uses the EE as an objective function and imposes constraints either on the SE or the achievable rate, we propound a multiobjective optimization approach that can flexibly switch between the EE and the SE functions or change the priority level of each function using a trade-off parameter. Our dynamic approach is more tractable than conventional approaches and more convenient to realistic communication applications and scenarios. The system model considers the path loss and shadowing effect in modeling the EE and SE metrics, in addition to taking the channel estimation error into account. We first solve the marginal problems of maximizing the EE and the SE individuality, and then prove that the multiobjective optimization of the EE and the SE is equivalent to a simple problem that maximizes the capacity and minimizes the total power consumption. Finally, we use numerical results to discuss the choice of the trade-off parameter and study the effect of the estimation error, transmission power budget and channel-to-noise ratio on the multiobjective optimization.",
keywords = "Optimization, Linear programming, Channel estimation, Loading, Measurement, OFDM, Power demand",
author = "Osama Amin and Mohamed, {Ebrahim Bedeer} and Ahmed, {Mohamed Hossam} and Dobre, {Octavia A.}",
year = "2014",
month = "8",
day = "28",
doi = "10.1109/ICC.2014.6883872",
language = "English",
journal = "2014 IEEE International Conference on Communications (ICC)",
issn = "1938-1883",

}

Energy Efficiency and Spectral Efficiency Trade-off for OFDM Systems with Imperfect Channel Estimation. / Amin, Osama; Mohamed, Ebrahim Bedeer; Ahmed, Mohamed Hossam; Dobre, Octavia A.

In: 2014 IEEE International Conference on Communications (ICC), 28.08.2014.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Energy Efficiency and Spectral Efficiency Trade-off for OFDM Systems with Imperfect Channel Estimation

AU - Amin, Osama

AU - Mohamed, Ebrahim Bedeer

AU - Ahmed, Mohamed Hossam

AU - Dobre, Octavia A.

PY - 2014/8/28

Y1 - 2014/8/28

N2 - In this paper, the power loading problem for orthogonal frequency division multiplexing (OFDM) with imperfect channel estimation is investigated considering the trade-off between energy efficiency (EE) and spectral efficiency (SE). Unlike traditional research that uses the EE as an objective function and imposes constraints either on the SE or the achievable rate, we propound a multiobjective optimization approach that can flexibly switch between the EE and the SE functions or change the priority level of each function using a trade-off parameter. Our dynamic approach is more tractable than conventional approaches and more convenient to realistic communication applications and scenarios. The system model considers the path loss and shadowing effect in modeling the EE and SE metrics, in addition to taking the channel estimation error into account. We first solve the marginal problems of maximizing the EE and the SE individuality, and then prove that the multiobjective optimization of the EE and the SE is equivalent to a simple problem that maximizes the capacity and minimizes the total power consumption. Finally, we use numerical results to discuss the choice of the trade-off parameter and study the effect of the estimation error, transmission power budget and channel-to-noise ratio on the multiobjective optimization.

AB - In this paper, the power loading problem for orthogonal frequency division multiplexing (OFDM) with imperfect channel estimation is investigated considering the trade-off between energy efficiency (EE) and spectral efficiency (SE). Unlike traditional research that uses the EE as an objective function and imposes constraints either on the SE or the achievable rate, we propound a multiobjective optimization approach that can flexibly switch between the EE and the SE functions or change the priority level of each function using a trade-off parameter. Our dynamic approach is more tractable than conventional approaches and more convenient to realistic communication applications and scenarios. The system model considers the path loss and shadowing effect in modeling the EE and SE metrics, in addition to taking the channel estimation error into account. We first solve the marginal problems of maximizing the EE and the SE individuality, and then prove that the multiobjective optimization of the EE and the SE is equivalent to a simple problem that maximizes the capacity and minimizes the total power consumption. Finally, we use numerical results to discuss the choice of the trade-off parameter and study the effect of the estimation error, transmission power budget and channel-to-noise ratio on the multiobjective optimization.

KW - Optimization

KW - Linear programming

KW - Channel estimation

KW - Loading

KW - Measurement

KW - OFDM

KW - Power demand

U2 - 10.1109/ICC.2014.6883872

DO - 10.1109/ICC.2014.6883872

M3 - Conference article

JO - 2014 IEEE International Conference on Communications (ICC)

T2 - 2014 IEEE International Conference on Communications (ICC)

JF - 2014 IEEE International Conference on Communications (ICC)

SN - 1938-1883

ER -