Jamming Game For The Smart Multiuser Wireless Communication Network

With the rapid development of wireless communication technologies,various novel wireless devices have been widely used to facilitate daily lives and improve social productivity.However,a risk under this prosperity is that they can be maliciously used to pose serious threats to public security.Wireless jamming techniques,as one of the feasible solutions to this issue,is gradually attracting widespread attention from scholars and engineers.Modern communication technologies are posing several challenges to traditional wireless jamming techniques: a),it is tough to improve the energy efficiency of jamming strategies against the multi-user wireless network,b)traditional jamming methods are difficult to counter the modern intelligent communication systems,c)the jamming waveform is difficult to select,d)the evaluation of jamming performance is quite challenging.To overcome the aforementioned challenges,this dissertation considers four typical jamming scenarios and develops several methods,which are summarized as follows:(1)This dissertation proposes a efficient jamming power allocation method to address the problem of how to allocate power to jam a smart single-antenna multi-user relay-assisted wireless communication system,which outperforms the traditional jamming methods.This problem is modeled as a two-person zero-sum game between the jammer and the communication system,where the jammer attempts to minimize the sum-rate,and the communication system tries to maximize it.However,due to its complex structure and non-convexity,solving this problem is quite challenging.This dissertation discusses this problem in two cases.Firstly,in the single-user case,this dissertation proves that the optimal jamming strategy is to allocate all the jamming power to either the relay or the wireless device.Secondly,in the multi-user case,due to the non-convexity,finding the equilibrium strategy is difficult,so this dissertation attempts to find the stationary point(sub-optimal solution)as a compromise.In this case,the jamming game is transformed into a min-max optimization problem.To solve this min-max optimization problem,this dissertation develops an algorithm based on the hybrid block successive approximation method.This algorithm decouples the min-max problem into two simpler sub-problems,which are solved by the multi-block alternating direction multiplier method and block successive upper-bound minimizing multiplier method,respectively.Simulation results demonstrate that the proposed method outperforms traditional jamming power allocation methods.(2)This dissertation proposes a jamming beamforming method to address the problem of how to design the jamming beamforming vectors against a smart multi-antenna multi-user communication system,which outperforms traditional methods and proves the jamming game strategy is irrelevant to the time delay under some conditions.This problem is modeled as a game between the jammer and the communication system.In this game,the multi-antenna jammer tries to minimize the maximum signal-to-interference-plusjamming-plus-noise ratio(SIJNR)of the single-antenna users,while the multi-antenna base station attempts to maximize the minimum SIJNR.This dissertation considers three typical jamming scenarios: a)both jamming and communication signals are sent simultaneously? b)the jammer transmits jamming signals first? c)the jammer transmits jamming signals after detecting communication signals.To find the jamming beamforming vectors,three issues need to be addressed.Firstly,the existence of equilibrium for the three games should be verified.Secondly,the existence of the shared equilibrium needs to be verified.Lastly,how to find the shared equilibrium.These issues are addressed by three surrogate problems.Previous research has established a corresponding relation between the two classical MISO unicast beamforming problems(the power-oriented beamforming problem and the SINR-fairness-oriented beamforming problem).Based on this relation,three surrogate problems are formulated for the three jamming games,in each of which the non-convex communication beamforming sub-problems are replaced with the convex ones.Then,these surrogate problems are leveraged to address the three issues,and an algorithm is developed to find the shared equilibrium.Simulation results demonstrate that this algorithm outperforms traditional jamming beamforming methods.(3)This dissertation proves that the binary phase-shift keying(BPSK)signal is the optimal jamming waveform in a low-jamming-power scenario when the jamming symbol energy are limited.The existing jamming waveforms research is faced with two challenges: a)the hardware to generate sophisticated jamming waveforms is expensive? b)the optimal jamming waveform is unknown in low-jamming-power scenario,which happens when the jamming signals attenuate seriously due to the long distance between the wireless devices and the jammer.This dissertation models the jamming waveform design problem as an optimization problem.The optimal jamming waveform is found by maximizing the symbol error probability.This problem is challenging since the error probability is non-convex and lacks a closed-form expression.This dissertation proves that the BPSK jamming signal is the optimal jamming waveform.Simulation results demonstrate that this jamming waveform outperforms traditional ones.(4)This dissertation proposes a non-cooperative jamming performance evaluation method to address the problem of evaluating the jamming performance of a multi-user orthogonal multiple access networks,which improve the estimation accuracy compared to traditional methods.Generally,evaluating the jamming performance non-cooperatively is quite challenging,since most jamming metrics are closely related to the parameters of the communication system.Due to the non-cooperative characteristic,the jammer may be difficult to estimate some parameters of the communication system,making it challenging to evaluate the jamming performance.To address this issue,this dissertation develops a non-cooperative jamming performance evaluation method.This method constructs a surrogate evaluation function to eliminate some communication parameters that are difficult to estimate.Then,this method utilizes the anti-jamming mechanism of the wireless communication system(modulation degradation)to estimate the remaining parameters in the surrogate evaluation function.Simulation results demonstrate that the proposed method can evaluate jamming performance successfully,and achieves a similar performance compared to the cooperative jamming performance evaluation method,and outperforms traditional non-cooperative jamming performance evaluation methods.