Estimation of Distribution Algorithm for Joint Resource Management in D2D Communication

Device to device (D2D) communication technique is one of the established means to enhance data rate in next generation wireless systems. Use of same resource of cellular users by D2D pairs creates interference problem among users. Simultaneous resource management and mode selection in emerging cellular networks having D2D capabilities can surely improve overall system throughput. This work addresses the problem of overall throughput maximization of emerging cellular networks while ensuring the power and interference constraints. The joint resource management problem is NP-Hard and is classified as mixed integer non-linear constraint optimization problem. Due to the fact that, the computational complexity of the system increases exponentially with the increase in users, it is almost impossible to find sub-optimal solution in polynomial time using greedy approach. Therefore, this paper applies evolutionary technique, like estimation of distribution algorithm which has the potential to address the complex problems having combinatorial nature such as joint resource management strategy in D2D. Near optimal solution convergence is achieved by the algorithm with minimal number of iterations. Simulation results show the effectiveness of the proposed approach as compared to other algorithms.