Interference mitigation for a heterogeneous satellite network based on spatial angle and transmission power

Hajipour, Pedram; Shahzadi, Ali; Ghazi‐Maghrebi, Saeed

doi:10.1016/j.aeue.2018.11.010

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…In practical applications, agents may have different dynamics 21 . The distributed cooperative control problem of linear and nonlinear heterogeneous multi‐agent systems have been studied in References 22‐37, respectively.…”

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confidence: 99%

“…In practical applications, agents may have different dynamics. 21 The distributed cooperative control problem of linear and nonlinear heterogeneous multi-agent systems have been studied in References 22-37, respectively. Li and Li 27 gave sufficient conditions for the existence of admissible distributed observation and cooperative control strategies to achieve mean square bounded output tracking.…”

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Cooperative output feedback tracking control of stochastic nonlinear heterogeneous multi‐agent systems

2023

Intl J Robust & Nonlinear

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We study cooperative output feedback tracking control of stochastic nonlinear heterogeneous leader-following multi-agent systems. Each agent has a continuous-time stochastic nonlinear heterogeneous dynamics with an unmeasurable state, and there are additive and multiplicative noises along with information exchange among agents. We propose admissible distributed observation strategies for estimating the leader's and the followers' states, and admissible cooperative output feedback control strategies based on the certainty equivalence principle. By output regulation theory and stochastic analysis, we show if the dynamics of each agent satisfies the Lipschitz condition, and the product of the leader's Lipschitz coefficient, the intensity of multiplicative measurement noises, and the constant related to the leader's Lipschitz coefficient and dimension is less than 1∕4 the minimum nonzero eigenvalue of graph Laplacian, then there exist admissible distributed observation and cooperative control strategies to ensure mean square bounded output tracking. Finally, the effectiveness of our control strategies is demonstrated by a numerical simulation. K E Y W O R D Sadditive and multiplicative measurement noise, heterogeneous multi-agent system, mean square bounded output tracking, nonlinear dynamics INTRODUCTIONIn recent years, many scholars have studied the distributed cooperative control of multi-agent systems in precise communication environments. 1-5 However, when each agent interacts with its neighbors through the communication network, communication processes are inevitably interfered by random noises due to uncertain communication environment. Now, more and more researchers pay attention to distributed cooperative control of multi-agent systems with random communication noises. The research on cooperative control of linear multi-agent systems with noises has reached a reasonable degree of maturity. 6-10 Some scholars have studied nonlinear multi-agent systems with additive noises. [11][12][13] investigated fixed-time consensus of first-order nonlinear multi-agent systems. By Lyapunov theory, Xiong et al. 12 studied fixed-time consensus of second-order nonlinear multi-agent systems. Li et al. 13 investigated cluster consensus of high-order nonlinear multi-agent systems under the Markovian topology. Compared with additive noises, multiplicative noises play a stabilizing role in the almost sure stability of systems. 14 There have been some results for nonlinear multi-agent systems 7154

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Section: Introductionmentioning

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Cooperative output feedback tracking control of stochastic nonlinear heterogeneous multi‐agent systems

2023

Intl J Robust & Nonlinear

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Interference-aware Resource Allocation in Satellite Integrated Terrestrial Networks

Zhang

Liu

Sheng

et al. 2022

2022 IEEE/CIC International Conference on Communications in China (ICCC)

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Leveraging the advantage of satellite and terrestrial networks, the integrated satellite terrestrial networks (ISTNs) can help to achieve seamless global access and eliminate the digital divide. However, the dense deployment and frequent handover of satellites aggravate intra-and inter-system interference, resulting in a decrease in downlink sum rate. To address this issue, we propose a coordinated intra-and inter-system interference management algorithm for ISTN. This algorithm coordinates multidimensional interference through a joint design of inter-satellite handover and resource allocation method. On the one hand, we take intersystem interference between low earth orbit (LEO) and geostationary orbit (GEO) satellites as a constraint, and reduce interference to GEO satellite ground stations (GEO-GS) while ensuring system capacity through inter-satellite handover. On the other hand, satellite and terrestrial resource allocation schemes are designed based on the matching idea, and channel gain and interference to other channels are considered during the matching process to coordinate co-channel interference. In order to avoid too many unnecessary handovers, we consider handover scenarios related to service capabilities and service time to determine the optimal handover target satellite. Numerical results show that the gap between the results on the system sum rate obtained by the proposed method and the upper bound is reduced as the user density increases, and the handover frequency can be significantly reduced.

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Exploiting Collaborative Computing to Improve Downlink Sum Rate in Satellite Integrated Terrestrial Networks

Zhang

Liu

Sheng

et al. 2023

IEEE Trans. Veh. Technol.

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Interference mitigation for a heterogeneous satellite network based on spatial angle and transmission power

Cited by 4 publications

References 14 publications

Cooperative output feedback tracking control of stochastic nonlinear heterogeneous multi‐agent systems

Cooperative output feedback tracking control of stochastic nonlinear heterogeneous multi‐agent systems

Interference-aware Resource Allocation in Satellite Integrated Terrestrial Networks

Exploiting Collaborative Computing to Improve Downlink Sum Rate in Satellite Integrated Terrestrial Networks

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