인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Dual mode orthogonal frequency division multiplexing with index modulation (DM-OFDM-IM) employs two distinguishable constellations across all subcarriers to address the low spectral efficiency of OFDM-IM. Recent studies on OFDM-IM-based systems have focused on constellation design, index pattern selection, and channel coding. A two-layer coding (TLC) scheme with successive cancellation decoding (SCD) has been proposed to improve the bit error rate (BER) of conventional OFDM-IM. However, it has not been applied to DM-OFDM-IM, and its frame error rate (FER) performance has not yet been evaluated. In this paper, we propose a method that applies TLC combined with SCD to DM-OFDM-IM. This approach addresses the challenge of DM-OFDM-IM, which faces greater difficulty in distinguishing index patterns compared to conventional OFDM-IM. We analyze the capacity of DM-OFDM-IM with TLC and demonstrate its advantage over conventional DM-OFDM-IM in terms of achievable rate. Furthermore, we propose a flexible layer-partitioning (FLP) scheme between two codewords, enabling a more flexible range of code rate variations. In addition, when decoding the second layer with SCD, only the estimated index pattern needs to be considered instead of all possible index patterns. It is shown via simulations that the proposed DM-OFDM-IM achieves a lower FER than conventional DM-OFDM-IM under various modulation parameters.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-26-02-094487031