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To address the challenges of interference in underwater multi-node communication and enhance the efficiency of underwater acoustic communication, we propose a multi-objective game learning algorithm based on the multi-armed bandit framework. Firstly, the multi-objective optimization problem is constructed as a multi-node multi-armed bandit (MAB) game model. Secondly, we incorporate the overall network interference level and nodes’ power cost in the utility function to achieve the desired optimization objectives. Thirdly, we establish the existence and uniqueness of the Nash equilibrium point of the game model and introduce an improved greedy strategy MAB learning algorithm to determine the equilibrium solution. Finally, our simulation results demonstrate that the proposed algorithm effectively optimizes interference management while enhancing the nodes’ adaptive capabilities. [ABSTRACT FROM AUTHOR]

Differential spatial modulation uses the antenna index to transmit information, which improves the spectral efficiency, and completely bypasses any channel side information in the recommended setting. A generalized distributed multiple turbo coded-cooperative differential spatial modulation based on distributed multiple turbo code is put forward and its performances in Rayleigh fading channels is analyzed. The generalized distributed multiple turbo coded-cooperative differential spatial modulation scheme is a coded-cooperation communication scheme, in which we proposed a new joint parallel iterative decoding method. Moreover, the code matched interleaver is considered to be the best choice for the generalized multiple turbo coded-cooperative differential spatial modulation schemes, which is the key factor of turbo code. Monte Carlo simulated results show that the proposed cooperative differential spatial modulation scheme is better than the corresponding non-cooperative scheme over Rayleigh fading channels in multiple input and output communication system under the same conditions. In addition, the simulation results show that the code matched interleaver scheme gets a better diversity gain as compared to the random interleaver. [ABSTRACT FROM AUTHOR]

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A device-to-device (D2D) group works as relay nodes to aid the information delivery from a source to a destination in cellular communication network. Within this system, we propose a communication mechanism to aid traditional cellular communication and correspondingly borrow some channel resource fromtraditional cellular communication system for D2D communication. On one side, to aid cellular communication, we propose a modified Alamouti scheme which does not modify the operation at the base station. This makes our proposed scheme consistent with previous cellular communication system. On the other side, there are many competitive D2D groups that want to potentially utilize the borrowed channel resource from traditional cellular system for delivering their own information. Wemodel this competition as a game and utilize game theory technique to solve this competition problem. [ABSTRACT FROM AUTHOR]