AmBC-NOMA-Aided Short-Packet Communication for High Mobility V2X Transmissions

被引:1
|
作者
Pei, Xinyue [1 ]
Wang, Xingwei [1 ]
Chen, Yingyang [2 ]
Pei, Tingrui [2 ]
Wen, Miaowen [3 ]
机构
[1] Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110819, Peoples R China
[2] Jinan Univ, Coll Informat Sci & Technol, Guangzhou 510632, Peoples R China
[3] South China Univ Technol, Natl Engn Technol Res Ctr Mobile Ultrason Detect, Guangzhou 510640, Peoples R China
基金
中国国家自然科学基金;
关键词
NOMA; Fading channels; Channel estimation; Backscatter; Signal to noise ratio; Radio frequency; Interference cancellation; Non-orthogonal multiple access; backscatter communications; short-packet communications; time-selective fading; imperfect channel estimates; FADING CHANNELS; MULTIPLE-ACCESS;
D O I
10.1109/LWC.2024.3416550
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this letter, we investigate the performance of ambient backscatter communication non-orthogonal multiple access (AmBC-NOMA)-assisted short packet communication for high-mobility vehicle-to-everything transmissions. In the proposed system, a roadside unit (RSU) transmits a superimposed signal to a typical NOMA user pair. Simultaneously, the backscatter device (BD) transmits its own signal towards the user pair by reflecting and modulating the RSU's superimposed signals. Due to vehicles' mobility, we consider realistic assumptions of time-selective fading and channel estimation errors. Theoretical expressions for the average block error rates (BLERs) of both users are derived. Furthermore, analysis and insights on transmit signal-to-noise ratio, vehicles' mobility, imperfect channel estimation, the reflection efficiency at the BD, and blocklength are provided. Numerical results validate the theoretical findings and reveal that the AmBC-NOMA system outperforms its orthogonal multiple access counterpart in terms of BLER performance.
引用
收藏
页码:2402 / 2406
页数:5
相关论文
共 45 条
  • [41] V2X and Deep Reinforcement Learning-Aided Mobility-Aware Lane Changing for Emergency Vehicle Preemption in Connected Autonomous Transport Systems
    Ding, Cao
    Ho, Ivan Wang-Hei
    Chung, Edward
    Fan, Tingting
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (07) : 7281 - 7293
  • [42] Continuous multi-access communication for high-resolution low-latency V2X sensor streaming
    Tappe, Daniel
    Bendrick, Alex
    Ernst, Rolf
    2024 35TH IEEE INTELLIGENT VEHICLES SYMPOSIUM, IEEE IV 2024, 2024, : 1814 - 1821
  • [43] The importance of V2X simulation: An in-depth comparison of intersection control algorithms using a high-fidelity communication simulation
    Ormandi, Tamas
    Varga, Balazs
    VEHICULAR COMMUNICATIONS, 2023, 44
  • [44] High-Capacity Data Collection Platform for Smart Cities Using IEEE 802.11ad-Based Millimeter-Wave V2X Communication
    Nakano, Kosei
    Motozuka, Hiroyuki
    Wee, Gaius Yao Huang
    Irie, Masataka
    Egami, Akihiro
    Sakamoto, Takenori
    Takinami, Koji
    Takahashi, Kazuaki
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [45] A forward-looking anticipative viscous high-order continuum model considering two leading vehicles for traffic flow through wireless V2X communication in autonomous and connected vehicle environment
    Sun, Lu
    Jafaripournimchahi, Ammar
    Hub, Wusheng
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 556