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Simulation Tools and Techniques. 13th EAI International Conference, SIMUtools 2021, Virtual Event, November 5-6, 2021, Proceedings

Research Article

On Jamming Game in Multi-user MIMO Downlink AF Relay System

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  • @INPROCEEDINGS{10.1007/978-3-030-97124-3_8,
        author={Bai Shi and Kai Cui and Jihong Jiang and Huaizong Shao},
        title={On Jamming Game in Multi-user MIMO Downlink AF Relay System},
        proceedings={Simulation Tools and Techniques. 13th EAI International Conference, SIMUtools 2021, Virtual Event, November 5-6, 2021, Proceedings},
        proceedings_a={SIMUTOOLS},
        year={2022},
        month={3},
        keywords={Urban security Relay MIMO Jamming Sum rate Zero-sum game Stackelberg game},
        doi={10.1007/978-3-030-97124-3_8}
    }
    
  • Bai Shi
    Kai Cui
    Jihong Jiang
    Huaizong Shao
    Year: 2022
    On Jamming Game in Multi-user MIMO Downlink AF Relay System
    SIMUTOOLS
    Springer
    DOI: 10.1007/978-3-030-97124-3_8
Bai Shi1, Kai Cui1, Jihong Jiang1, Huaizong Shao1,*
  • 1: University of Electronic Science and Technology of China, Chengdu
*Contact email: hzshao@uestc.edu.cn

Abstract

Wireless devices may threaten urban security if they are maliciously used. Some Internet-of-things (IoT) devices have already troubled the city management even hurt citizens. Jamming technique is one of the effective approaches to prevent these malicious activities. In addition, some IoT devices may locate far from base station and the power of received signals may be low. In this paper, we discuss a jamming power allocation problem in a multi-user multiple-input multiple-output (MU-MIMO) downlink relay system when the communication and jamming signals are relatively low due to the long distance between them, in which jammer tries to minimize the sum rate of IoT devices while these devices try to communicate at the fastest rate. Besides, jammer transmits jamming signals after detecting the communication request of devices so base station should decide how to transmit first, which is modeled by a two-person zero-sum Stackelberg game. However, the sum rate in such a scenario is non-convex. Finding the equilibrium strategy is general N-P hard. To address this complex problem, we decompose it into several easy-solved sub-problems and adopt an alternating optimization over them. Further, we simulate the proposed method numerically and results suggest the superiority.

Keywords
Urban security Relay MIMO Jamming Sum rate Zero-sum game Stackelberg game
Published
2022-03-31
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-97124-3_8
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