Self-Sustainable Intelligent Omni-Surface Aided Wireless Networks: Protocol Design and Resource Allocation

Lu Lv, Hao Luo, Zan Li, Qingqing Wu, Zhiguo Ding, Naofal Al-Dhahir, Jian Chen

    Research output: Contribution to journalArticlepeer-review

    2 Scopus citations

    Abstract

    This paper investigates a new self-sustainable intelligent omni-surface (S-IOS) aided multi-user wireless network, where the S-IOS harvests the radio frequency energy from the signals transmitted by the access point (AP) and exploits the harvested energy to provide full-dimensional beamforming services for the users. Three efficient operating protocols for the S-IOS, namely time switching, power splitting, and mode switching, are proposed to enable the dual-functionality of energy harvesting and information transmission. For each protocol, we design a joint optimization framework of transmit beamforming at the AP, refraction/reflection beamforming at the S-IOS, and energy harvesting schedule at the S-IOS, to maximize the network sum rate. Despite the challenging non-convex optimization problems with highly coupled and/or integer optimization variables, we develop computationally-efficient algorithms to solve them in an iterative manner, which exploit the intrinsic structure of the problems and employ the penalty-based method and the successive convex approximation. Numerical results confirm the efficiency of our developed optimization algorithms, demonstrate the significant importance of the S-IOS for spectral and energy efficient wireless communications, and quantify the performance advantage of the proposed designs over the baseline schemes.

    Original languageBritish English
    Pages (from-to)1
    Number of pages1
    JournalIEEE Transactions on Wireless Communications
    DOIs
    StateAccepted/In press - 2023

    Keywords

    • Array signal processing
    • Energy harvesting
    • energy harvesting
    • Intelligent omni-surface
    • Optimization
    • Protocols
    • resource allocation
    • Resource management
    • self-sustainable protocol design
    • Switches
    • Wireless networks

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