NDLI: Energy-efficient power allocation of two-hop cooperative systems with imperfect channel estimation

Content Provider	IEEE Xplore Digital Library
Author	Amin, O. Bedeer, E. Ahmed, M.H. Dobre, O.A. Alouini, M.-S.
Copyright Year	2015
Description	Author affiliation: King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia (Amin, O.; Alouini, M.-S.) \|\| Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John's, NL, Canada (Ahmed, M.H.; Dobre, O.A.) \|\| Sch. of Eng., Univ. of British Columbia, Kelowna, BC, Canada (Bedeer, E.)
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.
Starting Page	931
Ending Page	936
File Size	418782
Page Count	6
File Format	PDF
e-ISBN	9781467363051
DOI	10.1109/ICCW.2015.7247295
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-08
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Channel estimation Estimation Cooperative systems Resource management Relays Signal to noise ratio
Content Type	Text
Resource Type	Article

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