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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), DOAJ, Electronic Journals Library, Engineering & Technology Digital Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Editor-in-chief
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2015 Vol.3(1): 35-39 IS4SN: 2301-3559
DOI: 10.7763/LNSE.2015.V3.161

Cognitive Power Adjustment for OFDM-Based Wireless Communication System: An Empirical Study

W. Hashim, A. F. Ismail, N. M. Anas, H. A. M. Ramli, and K. Abdullah
Abstract—In this paper, we describe an empirical study on the impact of throughput performance when transmission power is adjusted. This experiment was conducted in an office environment for an OFDM-based wireless communication system such as WiFi 802.11g protocol network. We present a power selection mechanism based on intuitively learning one of the attributes which then triggers the power adjustment. We show that client’s similar throughput performance can be obtained at reduced transmission power thus prevent an access point from maximizing power unnecessarily. Our cognitive power adjustment method is potentially useful in extremely dense wireless networks deployment since it is able to prevent from any interference and also to reduce energy consumption of the devices. Our evaluation of this mechanism can reduce the power to 5dB while maintaining the same level of throughput.

Index Terms—Cognitive selection mechanism, transmit power control, intelligent power adjustment, interference.

W. Hashim and N. M. Anas are with the Malaysia National ICT Research and Development, MIMOS Berhad, Kuala Lumpur, 570000 Malaysia (e-mail: wahidah.hashim@ mimos.my, nuzli.anas@mimos.my).
A. F. Ismail, H. A. M. Ramli, and K. Abdullah are with the International Islamic University of Malaysia, Gombak 50728 Kuala Lumpur, Malaysia (e-mail: af_ismail@iium.edu.my, hadibahmr@iium.edu.my, khaizuran@iium.edu.my).

[PDF]

Cite: W. Hashim, A. F. Ismail, N. M. Anas, H. A. M. Ramli, and K. Abdullah, "Cognitive Power Adjustment for OFDM-Based Wireless Communication System: An Empirical Study," Lecture Notes on Software Engineering vol. 3, no. 1, pp. 35-39, 2015.

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