Convert Harm Into Benefit: A Coordination-Learning Based Dynamic Spectrum Anti-Jamming Approach

Xu, Yifan; Xu, Yuhua; Dong, Xu; Ren, Guochun; Chen, Jin; Wang, Ximing; Jia, Luliang; Ruan, Lang

doi:10.1109/tvt.2020.3018121

Cited by 32 publications

(23 citation statements)

References 36 publications

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“…The proposed optimization problem is a joint optimization problem in decentralized scenario, in which there exists a huge strategy space. Game theory has been widely used in resource optimizations of distributed wireless networks due to its low computational complexity and well effectiveness [47]- [52]. Hence, the offloading game model is formulated as (24) in which M is the set of coalitions, N is the set of UAV members and U m,i is the utility function of n m,i .…”

Section: A Game Modelmentioning

confidence: 99%

Joint Computation Offloading, Channel Access and Scheduling Optimization in UAV Swarms: A Game-Theoretic Learning Approach

Chen

Wang

et al. 2021

IEEE Open J. Comput. Soc.

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Coalition-based unmanned aerial vehicle (UAV) swarms have been widely used in urgent missions. To fasten the completion, mobile edge computing (MEC) has been introduced into UAV networks where coalition leaders act as servers to help members with data computing. This paper investigates a relative delay optimization in MEC-assisted UAV swarms. Considering that the scheduling methods have great impact on the delay, some theoretical analysis are made and a scheduling method based on shortest effective job first (SEJF) is proposed. Based on the coupled relationship between scheduling and resource allocation, the computation offloading and channel access problem are then jointly optimized. To solve the problem in distributed UAV networks, the optimization problem is formulated as an offloading game. It is proved that the game is an exact potential game (EPG) and it has at least one pure strategy Nash Equilibrium (PNE). To reach the PNE, a distributed offloading algorithm based on concurrent best-better response (CBBR) is designed. Finally, the simulations show that the performance of the proposed CBBR algorithm is better than traditional algorithms. Compared with other scheduling methods, the proposed scheduling method based on SEJF reduces the delay by up to 30%.

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Section: A Game Modelmentioning

confidence: 99%

Joint Computation Offloading, Channel Access and Scheduling Optimization in UAV Swarms: A Game-Theoretic Learning Approach

Chen

Wang

et al. 2021

IEEE Open J. Comput. Soc.

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“…Proof The proof by contradiction is applied for the multi-leader sub-game [26]. Assume that strategy combination (A * 1 , • • • A * H ) is not the NE, which means ∃h ∈ H that satisfies U h (A * h , A j ) < U h (A h , A j ).…”

Section: Definition 2 the Strategy Combinationmentioning

confidence: 99%

“…Note that there are some existing works that investigated the anti-jamming problem using game-theoretic framework [17,26]. The main differences are summarized as follows: As mentioned in Section I, the authors in [17]proposed a one-leader multi-follower Bayesian Stackelberg game, and the closed-form of the SE was derived.…”

Section: Introductionmentioning

confidence: 99%

“…However, work [17] is not suitable for multi-user scenarios with a large scale, and the proposed approach can not adapt to the dynamic changing characteristic of jamming attacks. Besides, in [26], the authors investigated the distributed coordinated anti-jamming scenario. However, the proposed approach may not be well-adapted to the wide-band jamming in the clustering network.…”

Section: Introductionmentioning

confidence: 99%

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Hierarchical Coordinated Anti-Jamming Channel Access in Clustering Networks: A Multi-Leader Multi-Follower Stackelberg Game Approach

Chen

Feng

et al. 2021

Preprint

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This paper mainly investigates the multi-user coordinated anti-jamming problem in clustering communication networks. In such kinds of networks, there exist multiple clusters, and multiple users who communicate with their receivers simultaneously. Besides, a malicious jammer persistently attacks channels with wide-band and dynamic changing jamming signals. To cope with these challenges brought by the large-scale clustering network and the dynamic wide-band jamming, a hierarchical coordinated anti-jamming approach is proposed, and a multi-leader multi-follower Stackelberg game is introduced to model the anti-jamming problem. In detail, cluster heads act as leaders, and select available frequency bands to avoid jamming attacks. While users in each cluster act as followers, and select corresponding channels distributedly and independently. Moreover, it is proved that there exist multiple Stackelberg Equilibriums (SEs) in the proposed game. To obtain SEs, a hierarchical coordinated anti-jamming channel access (HCACA) algorithm is designed. Simulation results illustrate that the proposed approach is effective to cope with the dynamic wide-band jamming attacks. Furthermore, it is also depicted that the proposed approach outperforms the distributed anti-jamming comparative approach in terms of convergence speed.

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“…And the optimization problem in these works is often difficult to resolve with traditional optimization methods. Hence, to solve the above problem, we exploit secure channel access by channel switching [27][28][29][30] and propose a two-stage task and resource assignment method that exploits convex optimization theory [31] and fading memory joint strategy fictitious play with inertia (FM-JSFP) [32] to formulate the problem and resolve it.…”

Section: Researchmentioning

confidence: 99%

Distributed Energy-Efficient and Secure Offloading in Air-to-Ground MEC Networks

Liu

et al. 2021

Preprint

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This paper mainly investigates the energy-efficient and secure offloading problem in air-to-ground MEC networks. The proposed efficient offloading mechanism is as per the requirements of the heterogeneous tasks of ground users. Further, the optimizing offloading rate, offloading object, and channel access jointly formulate system energy consumption and eavesdropping rate minimization. A distributed two-stage offloading scheme is proposed for achieving the sub-optimal solution for the Mixed-integer Nonlinear Programming (MINLP) problem. Finally, simulation results demonstrate that the proposed scheme is superior to several benchmark schemes.

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Convert Harm Into Benefit: A Coordination-Learning Based Dynamic Spectrum Anti-Jamming Approach

Cited by 32 publications

References 36 publications

Joint Computation Offloading, Channel Access and Scheduling Optimization in UAV Swarms: A Game-Theoretic Learning Approach

Joint Computation Offloading, Channel Access and Scheduling Optimization in UAV Swarms: A Game-Theoretic Learning Approach

Hierarchical Coordinated Anti-Jamming Channel Access in Clustering Networks: A Multi-Leader Multi-Follower Stackelberg Game Approach

Distributed Energy-Efficient and Secure Offloading in Air-to-Ground MEC Networks

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