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IEICE Transactions on Communications 2008 E91-B(1):22-28; doi:10.1093/ietcom/e91-b.1.22
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Copyright © 2008 The Institute of Electronics, Information and Communication Engineers

Special Section on Cognitive Radio and Spectrum Sharing Technology -- Papers -- Cognitive Network

Performance Evaluation of an Autonomous Adaptive Base Station that Supports Multiple Wireless Network Systems

Kazunori AKABANE1, Hiroyuki SHIBA1, Munehiro MATSUI1 and Kazuhiro UEHARA1

1 The authors are with NTT Network Innovation Laboratories, NTT Corporation, Yokosuka-shi, 239-0847 Japan. E-mail: akabane.kazunori{at}lab.ntt.co.jp


   Abstract

Various wireless systems are being developed to meet users' needs, and the rapid increase in frequency demand that accompanies the increasing popularity of wireless services means that more effective use of frequency resources is urgently needed. However, existing base stations are making no effort to use frequency resources effectively, and cooperation among wireless system base stations is needed to use frequency resources more effectively. Base stations can cooperate more efficiently if they are able to use multiple channels of many wireless systems simultaneously. We propose an autonomous adaptive base station (AABS) that can switch among various wireless systems the way software defined radio (SDR) base stations do. AABS can autonomously select and use the most suitable wireless system on the basis of user traffic and its hardware resources. Moreover, frequency resources are used effectively because AABS prevents unnecessary radio wave transmission when the number of users in the wireless systems decreases. AABS is also suitable for "multi-link communication" because it can use multiple channels of multiple wireless systems simultaneously. We developed AABS prototype and evaluated its performance. Our experimental and computer simulation results show the performance of AABS and its efficiency.

Key Words: autonomous adaptive control, software defined radio, base station, resource control, multi-link communication


Manuscript received May 7, 2007. Manuscript revised July 18, 2007.


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