DocumentCode
1721034
Title
Energy-efficient bit and power loading options for practical OFDM systems with pilot-aided channel estimation
Author
Koschel, Leszek ; Bogucka, Hanna
Author_Institution
Heinrich Hertz Inst., Berlin, Germany
fYear
2010
Firstpage
2781
Lastpage
2786
Abstract
In this article, we present options for energy-efficiency in adaptive bit and power loading algorithm in practical OFDM systems with imperfect Channel State Information (CSI) and pilot-aided channel estimation. We consider rate-adaptive and margin-adaptive schemes always treating energy-efficiency as the key paradigm. The studies presented aim at lowering the energy-wastage related to pilot symbols while maintaining the total transmit energy per OFDM symbol constraint. Given the energy constraints in rate-adaptive schemes, the number of pilots and their energy are chosen trading off between the Bit-Error-Rate (BER) performance and the efficiency of the spectrum usage. In margin-adaptive schemes the number of pilots and their energy are minimized to meet the required QoS parameters. We present possible options for the allocation of the available energy between pilots and data, and examine them through computer simulations in Long-Term Evolution (LTE) system scenarios.
Keywords
Long Term Evolution; OFDM modulation; channel estimation; error statistics; quality of service; BER performance; CSI; LTE system; Long-Term Evolution; OFDM systems; QoS parameters; adaptive bit; bit error rate; computer simulations; energy constraints; energy-efficiency; imperfect channel state information; margin-adaptive schemes; pilot-aided channel estimation; rate-adaptive scheme; AWGN; Bit error rate; Channel estimation; Channel models; Loading; OFDM; Resource management; bit/power loading; channel estimation; pilots;
fLanguage
English
Publisher
ieee
Conference_Titel
Personal Indoor and Mobile Radio Communications (PIMRC), 2010 IEEE 21st International Symposium on
Conference_Location
Instanbul
Print_ISBN
978-1-4244-8017-3
Type
conf
DOI
10.1109/PIMRC.2010.5671818
Filename
5671818
Link To Document