한국통신학회논문지 (The Journal of Korean Institute of Communications and Information Sciences)

한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지

OFDM 기반 무선 센서 망에서 에너지 제한을 고려한 복잡도 낮은 비트 할당 알고리즘

Low Complexity Bit Loading Algorithm with Power-constraint for OFDM-based Wireless Sensor Communication

  • Oh, Seoung-Youl (Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH)) ;
  • Ko, Hyeon-Mok (Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH)) ;
  • Kwon, Soon-Mok (Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH)) ;
  • Kim, Chee-Ha (Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH))
  • 발행 : 2009.12.31
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초록

직교 주파수 분할 다중(OFDM) 기법은 현재 무선 통신에서 가장 중요한 전송 기술 중 하나로 여겨지고 있다. OFDM은 장애가 심한 무선 환경에서 적응 능력이 뛰어나기 때문에 애드 혹(Ad Hoc), 메시(Mesh) 및 센서 네트워크 환경에 이용되기 적합하다. 그러나, OFDM에서 비트 할당과 관련된 기존 연구는 센서 네트워크에서 요구되는 에너지 효율성 및 낮은 계산 복잡도가 충분히 고려되지 않았다. 본 논문은 주파수 선택적 페이딩 채널(Frequency Selective Fading Channel) 환경 하에서 에너지 제한을 고려하며, 낮은 계산 복잡도를 가지는 비트 할당 기법을 제시한다. 이 기법은 피드백 채널을 이용해 수집한 채널 상태 정보를 이용하여 에너지 제한에 맞는 비트 할당 방법을 찾는 적응적(Adaptive) 방법이다. 시뮬레이션을 통하여 성능을 분석한 결과, 본 기법은 매우 낮은 계산 복잡도를 가지지만 계산 복잡도가 높은 최적화 기법과 성능 차이가 거의 없다는 점을 확인하였다.

Orthogonal frequency division multiplexing (OFDM) has been investigated as an enabling technology for future wireless communications such as ad hoc, mesh and sensor networks. However, prior works on bit-loading lack consideration of the constraints on energy and computing facility in sensor networks. In this paper, we suggest an adaptive bit allocation algorithm for a frequency selective fading channel environment which exploits channel state information obtained through a feedback channel. The proposed algorithm significantly reduces computational complexity and satisfies the power budget. Also, its throughput is comparable to the optimum solution. Simulation results support the claim stated.

키워드

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