Efficient Modulation Classification For Adaptive Wireless OFDM Systems In TDD Mode

被引：0
|
作者：
Haering, L. [1 ]
Chen, Y. [1 ]
Czylwik, A. [1 ]
机构：
[1] Univ Duisburg Essen, Dept Commun Syst, Essen, Germany
来源：
2010 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC 2010) | 2010年
关键词：
D O I：
暂无
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：
This paper investigates a novel efficient automatic modulation classification (AMC) algorithm in wireless time division duplex (TDD) orthogonal frequency division multiplexing (OFDM) systems with adaptive modulation (AM). Starting from the well-known maximum-likelihood (ML) classification metric for digital quadrature amplitude modulation (QAM) schemes, partial channel reciprocity in TDD-based adaptive OFDM systems is exploited by applying the maximum-a-posteriori (MAP) principle. A heuristic approach to find the required occurrence probabilities of the selected modulation schemes in a time-variant radio channel is analyzed. In order to reduce the overall computational complexity, a simplified metric is presented that is suitable for the implementation in real-time operating systems. Numerical results in terms of classification error probabilities confirm the effectivity of the complexity reductions. Moreover, it is demonstrated that the influence of the performance degradation on the overall packet error ratios (PER) due to imperfect modulation classification is small in a typical wireless communication scenario.
引用
收藏
页数：6
相关论文
共 50 条
  • [21] A hierarchical digital modulation classification algorithm for adaptive wireless communication systems
    Feng, Xiang
    Li, Jiandong
    WIRELESS PERSONAL COMMUNICATIONS, 2006, 39 (03) : 321 - 326
  • [22] A Hierarchical Digital Modulation Classification Algorithm for Adaptive Wireless Communication Systems
    Feng Xiang
    Li Jiandong
    Wireless Personal Communications, 2006, 39 : 321 - 326
  • [23] An Efficient Deep Network for Modulation Classification in Impaired MIMO-OFDM Systems
    Thien Huynh-The
    Quoc-Viet Pham
    Toan-Van Nguyen
    da Costa, Daniel Benevides
    Van-Phuc Hoang
    2023 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP, SSP, 2023, : 130 - 134
  • [24] A Flexible Framework based on Reinforcement Learning for Adaptive Modulation and Coding in OFDM Wireless Systems
    Leite, Joao P.
    de Carvalho, Paulo Henrique P.
    Vieira, Robson D.
    2012 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2012,
  • [25] Downlink resource management with adaptive modulation and dynamic scheduling for OFDM wireless communication systems
    Cai, J
    Shen, XM
    Mark, JW
    2004 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1-4: BROADBAND WIRELESS - THE TIME IS NOW, 2004, : 2143 - 2147
  • [26] Spectral and Energy Efficient Fast-OFDM With Index Modulation for Optical Wireless Systems
    Azim, Ali Waqar
    Chafii, Marwa
    Le Guennec, Yannis
    Ros, Laurent
    IEEE COMMUNICATIONS LETTERS, 2020, 24 (08) : 1771 - 1774
  • [27] Adaptive dual-mode OFDM with index modulation
    Colak, Sultan Aldirmaz
    Acar, Yusuf
    Basar, Ertugrul
    PHYSICAL COMMUNICATION, 2018, 30 : 15 - 25
  • [28] Experimental results of a multi-mode adaptive modulation TDMA/TDD system for high quality and high bit rate wireless multimedia communication systems
    Sampei, S
    Morinaga, N
    Hamaguchi, K
    48TH IEEE VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-3, 1998, : 934 - 938
  • [29] Secure Modulation Based on Constellation Mapping Obfuscation in OFDM Based TDD Systems
    Bang, Inkyu
    Kim, Taehoon
    IEEE ACCESS, 2020, 8 : 197644 - 197653
  • [30] Adaptive modulation/TDMA/TDD with convolutionally coded type-II hybrid ARQ for wireless communication systems
    Naijoh, Masashi, 2000, Kluwer Academic Publishers, Dordrecht (13)
12345