On the Radio Stripe Deployment for Indoor RF Wireless Power Transfer

被引:1
作者
Azarbahram, Amirhossein [1 ]
Lopez, Onel L. A. [1 ]
Popovski, Petar [2 ]
Latva-Aho, Matti [1 ]
机构
[1] Univ Oulu, Ctr Wireless Commun, Oulu, Finland
[2] Aalborg Univ, Dept Elect Syst, Aalborg, Denmark
来源
2024 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC 2024 | 2024年
关键词
Near-field channels; radio frequency wireless power transfer; radio stripes; transmitter deployment; ARCHITECTURE;
D O I
10.1109/WCNC57260.2024.10570703
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
One of the primary goals of future wireless systems is to foster sustainability, for which, radio frequency (RF) wireless power transfer (WPT) is considered a key technology enabler. The key challenge of RF-WPT systems is the extremely low end-to-end efficiency, mainly due to the losses introduced by the wireless channel. Distributed antenna systems are undoubtedly appealing as they can significantly shorten the charging distances, thus, reducing channel losses. Interestingly, radio stripe systems provide a cost-efficient and scalable way to deploy a distributed multi-antenna system, and thus have received a lot of attention recently. Herein, we consider an RF-WPT system with a transmit radio stripe network to charge multiple indoor energy hotspots, i.e., spatial regions where the energy harvesting devices are expected to be located, including near-field locations. We formulate the optimal radio stripe deployment problem aimed to maximize the minimum power received by the users and explore two specific predefined shapes, namely the straight line and polygon-shaped configurations. Then, we provide efficient solutions relying on geometric programming to optimize the location of the radio stripe elements. The results demonstrate that the proposed radio stripe deployments outperform a central fully-digital square array with the same number of elements and utilizing larger radio stripe lengths can enhance the performance, while increasing the system frequency may degrade it.
引用
收藏
页数:6
相关论文
共 17 条
  • [1] A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives
    Ahmed, Irfan
    Khammari, Hedi
    Shahid, Adnan
    Musa, Ahmed
    Kim, Kwang Soon
    De Poorter, Eli
    Moerman, Ingrid
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2018, 20 (04): : 3060 - 3097
  • [2] Azarbahram A., 2023, IN2023 17 EUROPEAN C, P1
  • [3] An Error Compensation Method for Surgical Robot Based on RCM Mechanism
    Bai, Ming
    Zhang, Minglu
    Zhang, He
    Pang, Linjun
    Zhao, Jie
    Gao, Chunyan
    [J]. IEEE ACCESS, 2021, 9 : 140747 - 140758
  • [4] Massive MIMO Systems With Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits
    Bjornson, Emil
    Hoydis, Jakob
    Kountouris, Marios
    Debbah, Merouane
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2014, 60 (11) : 7112 - 7139
  • [5] Boyd S., 2004, Convex Optimization, DOI 10.1017/CBO9780511804441
  • [6] A tutorial on geometric programming
    Boyd, Stephen
    Kim, Seung-Jean
    Vandenberghe, Lieven
    Hassibi, Arash
    [J]. OPTIMIZATION AND ENGINEERING, 2007, 8 (01) : 67 - 127
  • [7] Path Loss in Reconfigurable Intelligent Surface-Enabled Channels
    Ellingson, S. W.
    [J]. 2021 IEEE 32ND ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2021,
  • [8] Ubiquitous cell-free Massive MIMO communications
    Interdonato, Giovanni
    Bjornson, Emil
    Hien Quoc Ngo
    Frenger, Pal
    Larsson, Erik G.
    [J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2019, 2019 (1)
  • [9] Massive MIMO With Radio Stripes for Indoor Wireless Energy Transfer
    Lopez, Onel L. A.
    Kumar, Dileep
    Souza, Richard Demo
    Popovski, Petar
    Tolli, Antti
    Latva-Aho, Matti
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2022, 21 (09) : 7088 - 7104
  • [10] Massive Wireless Energy Transfer: Enabling Sustainable IoT Toward 6G Era
    Lopez, Onel L. A.
    Alves, Hirley
    Souza, Richard Demo
    Montejo-Sanchez, Samuel
    Fernandez, Evelio Martin Garcia
    Latva-Aho, Matti
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (11) : 8816 - 8835