Generalized Multiple-Mode OFDM With Index Modulation

被引:101
|
作者
Wen, Miaowen [1 ,2 ]
Li, Qiang [1 ]
Basar, Ertugrul [3 ]
Zhang, Wensong [1 ]
机构
[1] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China
[3] Koc Univ, Dept Elect & Elect Engn, Commun Res & Innovat Lab, TR-34450 Istanbul, Turkey
基金
中国国家自然科学基金;
关键词
Index modulation; OFDM; multiple constellations; sequential decoding; bit error rate; ADAPTIVE OFDM; WIRELESS NETWORKS; AIDED OFDM; DETECTOR; IM; PERFORMANCE; INFORMATION;
D O I
10.1109/TWC.2018.2860954
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Multiple-mode orthogonal frequency division multiplexing with index modulation (MM-OFDM-IM), which transmits an OFDM signal with information bits embedded onto multiple distinguishable signal constellations of the same cardinality and their permutations, is a recently proposed IM technique in the frequency domain. It is capable of achieving higher spectral efficiency and better error performance than classical OFDM and existing frequency-domain IM schemes. In this paper, we propose the scheme of generalized (G-) MM-OFDM-IM, which allows a different subcarrier to utilize a signal constellation of a different size while conveying the same number of IM bits. Considering phase shift keying constellations, we present design guidelines for GMM-OFDM-IM to achieve an optimal error performance in the asymptotically high signal-to-noise ratio region. A computationally efficient and near-optimal detector based on the idea of sequential decoding is also tailored to GMM-OFDM-IM, which avoids the detection of an illegitimate constellation permutation. Monte Carlo simulations are conducted to validate the inherent properties and advantages of GMM-OFDM-IM.
引用
收藏
页码:6531 / 6543
页数:13
相关论文
共 50 条
  • [31] Likelihood-Based Automatic Modulation Classification in OFDM With Index Modulation
    Zheng, Jianping
    Lv, Yanfang
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (09) : 8192 - 8204
  • [32] SEFDM Based Index Modulation on OFDM-IM
    Sarwar, Muhammad Sajid
    Shin, Soo Young
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2023, 12 (11) : 1906 - 1910
  • [33] Opportunistic Spectrum Sharing Based on OFDM With Index Modulation
    Li, Qiang
    Wen, Miaowen
    Dang, Shuping
    Basar, Ertugrul
    Poor, H. Vincent
    Chen, Fangjiong
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (01) : 192 - 204
  • [34] Subcarrier-Index Modulation Aided OFDM Will It Work?
    Ishikawa, Naoki
    Sugiura, Shinya
    Hanzo, Lajos
    IEEE ACCESS, 2016, 4 : 2580 - 2593
  • [35] Cognitive Radio Network Assisted by OFDM With Index Modulation
    Li, Jun
    Peng, Yuyang
    Yan, Yier
    Jiang, Xue-Qin
    Hai, Han
    Zukerman, Moshe
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (01) : 1106 - 1110
  • [36] LDPC Decoding With Low Complexity for OFDM Index Modulation
    Yoon, Eunchul
    Kwon, Soonbum
    Yun, Unil
    Kim, Sun-Yong
    IEEE ACCESS, 2021, 9 : 68435 - 68444
  • [37] A New Technique for OFDM: OFDM-Index Modulation
    Basar, Ertugrul
    Aygolu, Umit
    Panayirci, Erdal
    2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2013,
  • [38] Deep Learning-Assisted Index Estimator for Generalized LED Index Modulation OFDM in Visible Light Communication
    Le-Tran, Manh
    Kim, Sunghwan
    PHOTONICS, 2021, 8 (05)
  • [39] Dual-mode index modulation based OFDM system over NOMA networks
    Jain, Monika
    Makkar, Rahul
    Rawal, Divyang
    Gangopadhyay, Ranjan
    PHYSICAL COMMUNICATION, 2021, 47
  • [40] Dual-Mode OFDM with Coded Direct Index Modulation for the Spectrum Efficiency Improvement
    An, Changyoung
    Ryu, Heung-Gyoon
    2018 2ND INTERNATIONAL CONFERENCE ON COMPUTING AND NETWORK COMMUNICATIONS (COCONET), 2018, : 1 - 5