Energy-Efficient Power Allocation of Two-Hop Cooperative Systems with Imperfect Channel Estimation

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

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Recently, much attention has been paid to the green design of wireless communication systems using energy efficiency (EE) metrics that should capture all energy consumption sources to deliver the required data. In this paper, we formulate an accurate EE metric for cooperative two-hop systems that use the amplify-and-forward relaying scheme. Different from the existing research that assumes the availability of perfect channel state information (CSI) at the communication cooperative nodes, we assume a practical scenario, where training pilots are used to estimate the channels. The estimated CSI can be used to adapt the available resources of the proposed system in order to maximize the EE. Two estimation strategies are assumed namely disintegrated channel estimation, which assumes the availability of channel estimator at the relay, and cascaded channel estimation, where the relay is not equipped with channel estimator and only forwards the received pilot(s) in order to let the destination estimate the cooperative link. The channel estimation cost is reflected on the EE metric by including the estimation error in the signal-to-noise term and considering the energy consumption during the estimation phase. Based on the formulated EE metric, we propose an energy-aware power allocation algorithm to maximize the EE of the cooperative system with channel estimation. Furthermore, we study the impact of the estimation parameters on the optimized EE performance via simulation examples.

Fingerprint

Channel estimation
Energy efficiency
Channel state information
Energy utilization
Availability
Cooperative communication
Parameter estimation
Error analysis
Telecommunication links
Communication systems
Costs

Keywords

  • channel estimation
  • relays
  • cooperative systems
  • estimation
  • resource management

Cite this

Amin, Osama ; Mohamed, Ebrahim Bedeer ; Ahmed, Mohamed Hossam ; Dobre, Octavia A. ; Alouini, Mohamed-Slim. / Energy-Efficient Power Allocation of Two-Hop Cooperative Systems with Imperfect Channel Estimation. In: 2015 IEEE International Conference on Communication Workshop (ICCW). 2015.
@article{1e482901ba604e68aad87b61d16c68ca,
title = "Energy-Efficient Power Allocation of Two-Hop Cooperative Systems with Imperfect Channel Estimation",
abstract = "Recently, much attention has been paid to the green design of wireless communication systems using energy efficiency (EE) metrics that should capture all energy consumption sources to deliver the required data. In this paper, we formulate an accurate EE metric for cooperative two-hop systems that use the amplify-and-forward relaying scheme. Different from the existing research that assumes the availability of perfect channel state information (CSI) at the communication cooperative nodes, we assume a practical scenario, where training pilots are used to estimate the channels. The estimated CSI can be used to adapt the available resources of the proposed system in order to maximize the EE. Two estimation strategies are assumed namely disintegrated channel estimation, which assumes the availability of channel estimator at the relay, and cascaded channel estimation, where the relay is not equipped with channel estimator and only forwards the received pilot(s) in order to let the destination estimate the cooperative link. The channel estimation cost is reflected on the EE metric by including the estimation error in the signal-to-noise term and considering the energy consumption during the estimation phase. Based on the formulated EE metric, we propose an energy-aware power allocation algorithm to maximize the EE of the cooperative system with channel estimation. Furthermore, we study the impact of the estimation parameters on the optimized EE performance via simulation examples.",
keywords = "channel estimation, relays, cooperative systems, estimation, resource management",
author = "Osama Amin and Mohamed, {Ebrahim Bedeer} and Ahmed, {Mohamed Hossam} and Dobre, {Octavia A.} and Mohamed-Slim Alouini",
year = "2015",
month = "9",
day = "14",
doi = "10.1109/ICCW.2015.7247295",
language = "English",
journal = "2015 IEEE International Conference on Communication Workshop (ICCW)",
issn = "2164-7038",

}

Energy-Efficient Power Allocation of Two-Hop Cooperative Systems with Imperfect Channel Estimation. / Amin, Osama; Mohamed, Ebrahim Bedeer; Ahmed, Mohamed Hossam; Dobre, Octavia A.; Alouini, Mohamed-Slim.

In: 2015 IEEE International Conference on Communication Workshop (ICCW), 14.09.2015.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Energy-Efficient Power Allocation of Two-Hop Cooperative Systems with Imperfect Channel Estimation

AU - Amin, Osama

AU - Mohamed, Ebrahim Bedeer

AU - Ahmed, Mohamed Hossam

AU - Dobre, Octavia A.

AU - Alouini, Mohamed-Slim

PY - 2015/9/14

Y1 - 2015/9/14

N2 - Recently, much attention has been paid to the green design of wireless communication systems using energy efficiency (EE) metrics that should capture all energy consumption sources to deliver the required data. In this paper, we formulate an accurate EE metric for cooperative two-hop systems that use the amplify-and-forward relaying scheme. Different from the existing research that assumes the availability of perfect channel state information (CSI) at the communication cooperative nodes, we assume a practical scenario, where training pilots are used to estimate the channels. The estimated CSI can be used to adapt the available resources of the proposed system in order to maximize the EE. Two estimation strategies are assumed namely disintegrated channel estimation, which assumes the availability of channel estimator at the relay, and cascaded channel estimation, where the relay is not equipped with channel estimator and only forwards the received pilot(s) in order to let the destination estimate the cooperative link. The channel estimation cost is reflected on the EE metric by including the estimation error in the signal-to-noise term and considering the energy consumption during the estimation phase. Based on the formulated EE metric, we propose an energy-aware power allocation algorithm to maximize the EE of the cooperative system with channel estimation. Furthermore, we study the impact of the estimation parameters on the optimized EE performance via simulation examples.

AB - Recently, much attention has been paid to the green design of wireless communication systems using energy efficiency (EE) metrics that should capture all energy consumption sources to deliver the required data. In this paper, we formulate an accurate EE metric for cooperative two-hop systems that use the amplify-and-forward relaying scheme. Different from the existing research that assumes the availability of perfect channel state information (CSI) at the communication cooperative nodes, we assume a practical scenario, where training pilots are used to estimate the channels. The estimated CSI can be used to adapt the available resources of the proposed system in order to maximize the EE. Two estimation strategies are assumed namely disintegrated channel estimation, which assumes the availability of channel estimator at the relay, and cascaded channel estimation, where the relay is not equipped with channel estimator and only forwards the received pilot(s) in order to let the destination estimate the cooperative link. The channel estimation cost is reflected on the EE metric by including the estimation error in the signal-to-noise term and considering the energy consumption during the estimation phase. Based on the formulated EE metric, we propose an energy-aware power allocation algorithm to maximize the EE of the cooperative system with channel estimation. Furthermore, we study the impact of the estimation parameters on the optimized EE performance via simulation examples.

KW - channel estimation

KW - relays

KW - cooperative systems

KW - estimation

KW - resource management

U2 - 10.1109/ICCW.2015.7247295

DO - 10.1109/ICCW.2015.7247295

M3 - Conference article

JO - 2015 IEEE International Conference on Communication Workshop (ICCW)

T2 - 2015 IEEE International Conference on Communication Workshop (ICCW)

JF - 2015 IEEE International Conference on Communication Workshop (ICCW)

SN - 2164-7038

ER -