Robust Synchronization Waveform Design for Massive IoT

被引:9
|
作者
Zhang, Jingjing [1 ]
Wang, Mao [2 ]
Hua, Min [1 ]
Yang, Wenjie [1 ]
You, Xiaohu [2 ]
机构
[1] Nanjing Univ Sci & Technol, Nanjing 210092, Jiangsu, Peoples R China
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 211102, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Massive low-power Internet-of-Things (mIoT); 5G mIoT waveform; synchronization waveform; system acquisition; coverage extension; frequency offset; NONORTHOGONAL MULTIPLE-ACCESS; CHALLENGES; SYSTEMS;
D O I
10.1109/TWC.2017.2750138
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
Machine-type communication (MTC) is the key technology to support data transfer among devices (sensors and actuators) in Internet of Things (IoT). However, MTC, especially when applied to massive low-power IoT (mIoT), poses some unique and serious challenges due to the low-cost and low-power nature of an mIoT device. One of the most challenging issues is providing a robust way for an mIoT device to acquire the network under a large frequency offset/error (due to the use of a low-cost crystal oscillator) and a low operating SNR (due to the extended coverage). We address the issues in the existing mIoT system acquisition, particularly the initial synchronization waveform detection, and derive a new synchronization waveform that is more robust in an mIoT environment. The mathematical approach provides a useful analytical insight into the design of the synchronization signal waveform for the 5G mIoT system.
引用
收藏
页码:7551 / 7559
页数:9
相关论文
共 50 条
  • [21] Symmetry Chirp Modulation Waveform Design for LEO Satellite IoT Communication
    Roy, Arijit
    Nemade, Harshal B.
    Bhattacharjee, Ratnajit
    IEEE COMMUNICATIONS LETTERS, 2019, 23 (10) : 1836 - 1839
  • [22] DYNAMIC JOINT PHY-MAC WAVEFORM DESIGN FOR IOT CONNECTIVITY
    Tountas, Konstantinos
    Sklivanitis, George
    Pados, Dimitris A.
    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 8399 - 8403
  • [23] Time Domain Multiplexed LoRa Modulation Waveform Design for IoT Communication
    An, Shixiang
    Wang, Hua
    Sun, Yiwei
    Lu, Zhiping
    Yu, Quantao
    IEEE COMMUNICATIONS LETTERS, 2022, 26 (04) : 838 - 842
  • [24] Preamble Design and Collision Resolution in a Massive Access IoT System
    Zhong, Ailing
    Li, Zhidu
    Wang, Ruyan
    Li, Xingjie
    Guo, Boren
    SENSORS, 2021, 21 (01) : 1 - 19
  • [25] Robust Waveform Design for MIMO Radar with Imperfect Prior Knowledge
    Wang, Hongyan
    Pei, Bingnan
    Li, Jun
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2016, 35 (04) : 1239 - 1255
  • [26] Robust Waveform Design for MIMO Radar with Imperfect Prior Knowledge
    Hongyan Wang
    Bingnan Pei
    Jun Li
    Circuits, Systems, and Signal Processing, 2016, 35 : 1239 - 1255
  • [27] Optimal and robust waveform design for MIMO radars in the presence of clutter
    Naghibi, T.
    Namvar, M.
    Behnia, F.
    SIGNAL PROCESSING, 2010, 90 (04) : 1103 - 1117
  • [28] Probabilistically Robust Radar Waveform Design for Extended Target Detection
    Xu, Zhou
    Xie, Zhuang
    Fan, Chongyi
    Huang, Xiaotao
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2022, 70 : 4212 - 4224
  • [29] Robust MIMO Waveform Design in the Presence of Unknown Mutipath Return
    Fan, Chongyi
    Xie, Zhuang
    Wang, Jian
    Xu, Zhou
    Huang, Xiaotao
    REMOTE SENSING, 2022, 14 (17)
  • [30] Robust Waveform Design Based on Jammer Games in Cognitive Radar
    Wang, Bin
    Chen, Xu
    Li, Shumin
    Xin, Fengming
    Wang, Jinkuan
    2018 10TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS (ICCCAS 2018), 2018, : 195 - 198