This paper focuses on the anti-jamming transmission problem in unmanned aerial vehicle (UAV) communication networks. Considering incomplete information constraint and co-channel mutual interference, a Bayesian Stackelberg game is proposed to formulate competitive relations between UAVs (users) jammer. Specifically, jammer acts as leader, whereas users act followers of game. Based their utility functions, select optimal power control strategies respectively. In addition, observation error...

This paper investigates the multi-user power control problem in relay-assisted anti-jamming systems. Because of hierarchical confrontation characteristics between users and jammer, we take incomplete information observation error into consideration formulate an Bayesian three-layer Stackelberg game, which primary act as leaders, relay vice-leaders, jammer acts a follower. Both have ability to sense others' transmission choose optimal realize maximum utility. Based on backward induction...

This paper mainly investigates the multi-user anti-jamming spectrum access problem. Using idea of "converting harm into benefit," malicious jamming signals projected by enemy are utilized users as coordination to guide coordination. An "internal coordination-external confrontation" game model is constructed, and existence Nash equilibrium (NE) well correlated (CE) demonstrated. A coordination-learning based algorithm (CLASA) designed achieve CE game. Simulation results show convergence,...

We investigate the anti-jamming problem in unmanned aerial vehicles (UAV) communication networks, which mutual interference among UAVs is considered. A Stackelberg game approach proposed to solve this problem. The smart jammer who has privilege over multiple users acts first as leader of game, while act followers after knowing strategy jammer. optimal transmission power and are derived, influence cost on shown simulation results. existence well uniqueness equlibrium (SE) have been proved well.

This paper investigates the cooperative anti-jamming distributed channel selection problem in UAV communication networks. Considering existence of malicious jamming and co-channel interference, we design an interference-aware scheme for purpose maximizing users’ utilities. Moreover, switching cost cooperation are introduced, which have a great impact on Users group sense interference signal energy to judge whether they influenced by interference. When received is lower than threshold, users...

This paper mainly investigates the unmanned aerial vehicle (UAV) communication networks under threat of a static malicious jammer. While taking flying process user (UAV transmitter-receiver pair) into consideration, we propose joint power and trajectory optimization method. Moreover, Stackelberg framework is formulated to solve proposed problem. In addition, algorithm (JPTOA) based on best-response (BR) designed obtain user's strategy as well equilibrium (SE) in each time stage. Furthermore,...

In this paper, we study joint relay selection and the power control optimization problem in an anti-jamming communication system. Considering hierarchical competitive relationship between a user jammer, formulate as Stackelberg game. From perspective of game, selects strategy firstly which acts leader, while jammer chooses then that follower. Moreover, prove existence equilibrium. Based on Q-learning algorithm multi-armed bandit method, is proposed. Simulation results show user’s probability...

This paper investigates the anti-jamming problems in wireless communication networks. In these networks consisted of multiple devices (users), there exist two critical problems. On one hand, users with various transmission requirements should coordinate their channel selection strategies distributedly to avoid spectrum conflicts and satisfy demands. other they also need fully consider how eliminate effects malicious attacks. To cope internal coordination external confrontation challenges...

A new recognition algorithm to the symbol shaped signals is presented, in which eight digital modulation types are classified. The infection and parameterspsila extraction aroused by shape introduced detailed, classified from decision-tree classifier. computer simulation results show that, has a good performance for signals, further more it better than methods without consideration of shape.

In this study, a dual‐hop multiple‐input–multiple‐output relay network with the N th‐best selection scheme in presence of co‐channel interference is studied. Specifically, selected based on channel state information (CSI) first hop. The authors consider CSI perfect feedback and derive exact as well asymptotic closed‐form expressions for outage probability. Results reveal that diversity order R × min{ S ( K − + 1), D } achieved when there no delay, where , represent number antennas at source,...

Spectrum prediction is one key enabling method for cognitive radio to improve spectrum utilization. Different from the traditional methods which predict state slot-by-slot, in this paper we investigate issue of analysis channel duration (CSD). Specifically, first introduce concept Hurst index characterize predictability between different scales historical data and use R/S (rescaled range) three kinds Large-Scale validate if can obtain best result high predictability. Then, a pattern matching...

This paper investigates the cooperative anti-jamming distributed channel selection problem in UAV communication networks. Considering existence of malicious jamming and co-channel interference, a location-aware scheme is designed for purpose maximizing users' utilities. Users group cooperate with each other via location information sharing. When received interference energy lower than mutual threshold, users conduct strategies independently. Otherwise, take joint actions pattern under impact...

Because of the inherent nonlinearity high power amplifier, there are in-band distortion and adjacent-channel interference, which may have a negative influence on communication systems. We to make linearization processing overcome them. First, this paper attempts analyze HPA in mathematic approach, then briefly introduces basic principle about digital predistortion. Furthermore, after depicting simple neural network, proposed an adaptive predistortion technology based single input onput...

This paper investigates the anti-jamming problems for multi-user scenarios. On one hand, users in networks should coordinate their channel selection strategies to avoid spectrum conflicts among different users. other because of openness characteristic wireless communications, malicious jammers can disrupt legitimate communications by sending jamming signals, thus also need fully consider how defend against attacks. To cope with internal coordination and external confrontation problem, a...

In order to use adaptive algorithms more flexible and faster the convergence rate in process of High Power Amplifier (HPA) pre-distortion, overcome amplitude over-compressing, an efficient predistorter for HPA is designed, which amplitude-amplitude (AM-AM) amplitude-phase (AM-PM) pre-distorter are using tandem structure; pre-distortion device adopts indirect structure train; phase got by directly identifying AM-PM characteristics amplifier on contrary, identification at same time; The design...

This paper presents a kind of Amplitude Adaptive Pre-distorter Design based on Sinusoid for High Power Amplifier (HPA). On the one hand, constraints are increased in pre-distorter, and efficiency, maximal export power linearity into account at same time; other ideal gain can be identified intelligently; then, order to resolve problem complicated algorithms realization slow convergence, pre-distorter is predigested, which RLS used directly. Finally, simulation testing predigested model...

A general summary of jamming methods in wireless communication is investigated this paper. According to these means, we give emphasis analyze anti-jamming solution and their applications.