<th id="5nh9l"></th><strike id="5nh9l"></strike><th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th><strike id="5nh9l"></strike>
<progress id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"><noframes id="5nh9l">
<th id="5nh9l"></th> <strike id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span>
<progress id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span><strike id="5nh9l"><noframes id="5nh9l"><strike id="5nh9l"></strike>
<span id="5nh9l"><noframes id="5nh9l">
<span id="5nh9l"><noframes id="5nh9l">
<span id="5nh9l"></span><span id="5nh9l"><video id="5nh9l"></video></span>
<th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th>
<progress id="5nh9l"><noframes id="5nh9l">
Volume 45 Issue 1
Jan.  2023
Turn off MathJax
Article Contents
WU Qun, ZHOU Xiao, WANG Cheng-you. PAPR reduction based on optimal threshold ACE in OFDM system[J]. Chinese Journal of Engineering, 2023, 45(1): 150-157. doi: 10.13374/j.issn2095-9389.2021.06.15.001
Citation: WU Qun, ZHOU Xiao, WANG Cheng-you. PAPR reduction based on optimal threshold ACE in OFDM system[J]. Chinese Journal of Engineering, 2023, 45(1): 150-157. doi: 10.13374/j.issn2095-9389.2021.06.15.001

PAPR reduction based on optimal threshold ACE in OFDM system

doi: 10.13374/j.issn2095-9389.2021.06.15.001
More Information
  • Corresponding author: E-mail: zhouxiao@sdu.edu.cn
  • Received Date: 2021-06-15
    Available Online: 2021-09-08
  • Publish Date: 2023-01-01
  • Orthogonal frequency division multiplexing (OFDM) technology, which can divide the frequency selective fading channel into multiple flat fading sub-channels, is widely used in wireless communication systems because of its robustness to frequency selectivity in wireless channels and the ability to mitigate multipath fading that causes inter-symbol interference. Therefore, it has become one of the key technologies of 5G mobile communication. However, it has a serious shortcoming, i.e., the high peak-to-average power ratio (PAPR), especially when the number of subcarriers is large. High PAPR will make the high-power amplifier work in its nonlinear region, leading to inter-modulation interference among subcarriers and out-of-band interference of OFDM signals. Active constellation extension (ACE) reduces the PAPR of OFDM signals effectively by extending external constellation points outwards. Most of the ACE algorithms currently used set a fixed threshold to limit the amplitude of the OFDM signal during the iteration. As the statistical characteristics of OFDM signals will change after each iteration, the same threshold will reduce the ability of the method to suppress the PAPR of OFDM systems. To solve this problem, an optimal threshold ACE (OTACE) method is proposed, which can determine an appropriate threshold according to the signal power at each iteration to enhance the performance of PAPR reduction. The appropriate number of iterations is obtained by data fitting, and on this basis, the impact of the OTACE algorithm in suppressing the PAPR is simulated and analyzed. The simulation results demonstrate that compared with POCS and SGP, OTACE can increase the performance to reduce PAPR by approximately 5 dB and 3 dB gains, respectively. Under the CDT 1, CDT 6, and Brazil A channels, the impact of the OTACE algorithm on the bit error rate (BER) is tested when the Doppler frequency shift is 20 Hz and 60 Hz, respectively. The experimental results show that the OTACE can achieve better BER performance. Compared with POCS, OTACE has about 1 dB signal-to-noise ratio (SNR) gain in BER performance. OTACE has obvious advantages over SGP at a high SNR.

     

  • loading
  • [1]
    Senol H, Tepedelenlioglu C. Subspace-based estimation of rapidly varying mobile channels for OFDM systems. IEEE Trans Signal Process, 2021, 69: 385 doi: 10.1109/TSP.2020.3045562
    [2]
    Hu C, Wang L, Zhou Z. PAPR reduction scheme for OFDM systems based on Arnold transform without side information // Proceedings of the IEEE 24th International Conference on Computer Supported Cooperative Work in Design. Dalian, 2021: 1287
    [3]
    Memisoglu E, Duranay A, Arslan H. Numerology scheduling for PAPR reduction in mixed numerologies. IEEE Wireless Commun Lett, 2021, 10(6): 1197 doi: 10.1109/LWC.2021.3061628
    [4]
    Wang B, Si Q, Jin M. A novel tone reservation scheme based on deep learning for PAPR reduction in OFDM systems. IEEE Commun Lett, 2020, 24(6): 1271 doi: 10.1109/LCOMM.2020.2980832
    [5]
    Wunder G, Fischer R F H, Boche H, et al. The PAPR problem in OFDM transmission: New directions for a long-lasting problem. IEEE Signal Process Mag, 2013, 30(6): 130 doi: 10.1109/MSP.2012.2218138
    [6]
    Hu M X, Wang W, Cheng W, et al. A generalized piecewise linear companding transform for PAPR reduction in OFDM systems. IEEE Trans Broadcast, 2020, 66(1): 170 doi: 10.1109/TBC.2019.2909183
    [7]
    Mestdagh D J G, Monsalve J L G, Brossier J M. Green OFDM: A new selected mapping method for OFDM PAPR reduction. Electron Lett, 2018, 54(7): 449 doi: 10.1049/el.2017.4743
    [8]
    Lim S C, Kim N, Park H. Polar coding-based selective mapping for PAPR reduction without redundant information transmission. IEEE Commun Lett, 2020, 24(8): 1621 doi: 10.1109/LCOMM.2020.2989205
    [9]
    Kumar T D, Venkatesan P. Performance estimation of multicarrier CDMA using adaptive brain storm optimization for 5G communication system in frequency selective fading channel. Trans Emerg Telecommun Technol, 2020, 31(4): e3829
    [10]
    Harthi N A, Zhang Z F, Kim D, et al. Peak-to-average power ratio reduction method based on partial transmit sequence and discrete Fourier transform spreading. Electronics, 2021, 10(6): 642 doi: 10.3390/electronics10060642
    [11]
    Lahbabi N, Bulusu S S K C, Helard J F, et al. Very efficient tone reservation PAPR reduction fully compatible with ATSC 3.0 standard: Performance and practical implementation analysis. IEEE Access, 2018, 6: 58355
    [12]
    El Hassan M, Crussiere M, Helard J F, et al. EVM closed-form expression for OFDM signals with tone reservation-based PAPR reduction. IEEE Trans Wirel Commun, 2020, 19(4): 2352 doi: 10.1109/TWC.2020.2964196
    [13]
    馬忠貴, 宋佳倩. 5G超密集網絡的能量效率研究綜述. 工程科學學報, 2019, 41(8):968

    Ma Z G, Song J Q. Survey of energy efficiency for 5G ultra-dense networks. Chin J Eng, 2019, 41(8): 968
    [14]
    李江昀, 趙義凱, 薛卓爾, 等. 深度神經網絡模型壓縮綜述. 工程科學學報, 2019, 41(10):1229

    Li J Y, Zhao Y K, Xue Z E, et al. A survey of model compression for deep neural networks. Chin J Eng, 2019, 41(10): 1229
    [15]
    Wang X, Jin N D, Wei J D. A model-driven DL algorithm for PAPR reduction in OFDM system. IEEE Commun Lett, 2021, 25(7): 2270 doi: 10.1109/LCOMM.2021.3076605
    [16]
    Ro J, Lee W S, Kang M G, et al. A strategy of signal detection for performance improvement in clipping based OFDM system. Comput Mater Continua, 2020, 64(1): 181 doi: 10.32604/cmc.2020.09998
    [17]
    Kalinov A, Bychkov R, Ivanov A, et al. Machine learning-assisted PAPR reduction in massive MIMO. IEEE Wirel Commun Lett, 2021, 10(3): 537 doi: 10.1109/LWC.2020.3036909
    [18]
    Jones D L. Peak power reduction in OFDM and DMT via active channel modification // Proceedings of the Asilomar Conference. Pacific Grove, 1999: 1076
    [19]
    Samayoa Y, Ostermann J. Modified active constellation extension algorithm for PAPR reduction in OFDM systems // Proceedings of the Wireless Telecommunications Symposium. Washington, 2020: 9198714
    [20]
    Krongold B S, Jones D L. PAR reduction in OFDM via active constellation extension. IEEE Trans Broadcast, 2003, 49(3): 258 doi: 10.1109/TBC.2003.817088
    [21]
    Li G, Li T Y. A low-complexity PAPR reduction SLM scheme for STBC MIMO-OFDM systems based on constellation extension. KSII Trans Internet Inf Syst, 2019, 13(6): 2908
    [22]
    Liu Y Z, Wang Y, Ai B. An efficient ACE scheme for PAPR reduction of OFDM signals with high-order constellation. IEEE Access, 2019, 7: 118322 doi: 10.1109/ACCESS.2019.2936917
    [23]
    Tang R G, Zhou X, Wang C Y. A Haar wavelet decision feedback channel estimation method in OFDM systems. Appl Sci, 2018, 8(6): 877 doi: 10.3390/app8060877
    [24]
    Tang R G, Zhou X, Wang C Y. A novel low rank LMMSE channel estimation method in OFDM systems // Proceedings of the 17th IEEE International Conference on Communication Technology. Chengdu, 2017: 249
    [25]
    Zhang M T, Zhou X, Wang C Y. Noise suppression threshold channel estimation method using RC and SRRC filters in OFDM systems // Proceedings of the 18th IEEE International Conference on Communication Technology. Chongqing, 2019: 176
    [26]
    Tang R G, Zhou X, Wang C Y. Kalman filter channel estimation in 2 × 2 and 4 × 4 STBC MIMO-OFDM systems. IEEE Access, 2020, 8: 189089 doi: 10.1109/ACCESS.2020.3027377
    [27]
    Zhang M T, Zhou X, Wang C Y. A novel noise suppression channel estimation method based on adaptive weighted averaging for OFDM systems. Symmetry, 2019, 11(8): 997 doi: 10.3390/sym11080997
  • 加載中

Catalog

    通訊作者: 陳斌, bchen63@163.com
    • 1. 

      沈陽化工大學材料科學與工程學院 沈陽 110142

    1. 本站搜索
    2. 百度學術搜索
    3. 萬方數據庫搜索
    4. CNKI搜索

    Figures(7)  / Tables(3)

    Article views (660) PDF downloads(93) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return
    <th id="5nh9l"></th><strike id="5nh9l"></strike><th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th><strike id="5nh9l"></strike>
    <progress id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"><noframes id="5nh9l">
    <th id="5nh9l"></th> <strike id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span>
    <progress id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span><strike id="5nh9l"><noframes id="5nh9l"><strike id="5nh9l"></strike>
    <span id="5nh9l"><noframes id="5nh9l">
    <span id="5nh9l"><noframes id="5nh9l">
    <span id="5nh9l"></span><span id="5nh9l"><video id="5nh9l"></video></span>
    <th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th>
    <progress id="5nh9l"><noframes id="5nh9l">
    259luxu-164