Optimal and Suboptimal Algorithms for Resource Allocation in Dense Wireless Cooperative Networks

Cooperative Networks are novel technologies for improving wireless system performance; therefore, they are a good candidate for future cellular networks. In these networks, nodes cooperate with their data and information to each other to increase the network's performance. Cooperative Networks have different architectures. Hundreds of wireless systems are located in a small area in some architecture. These architectures are named dense cooperative networks. Resource allocation can improve the performance of dense cooperative networks. Optimal resource allocation is a strategy for improving system performance and guaranteeing quality of service; hence, in this paper, we attempt to calculate optimal transmit power for nodes to achieve maximum allowable capacity by applying the convex optimization method. Convex optimization is a powerful tool for resource allocation and signal processing in wireless networks. In addition, due to the Complexity of the optimal solution, we introduce a novel suboptimal power allocation algorithm. Simulation results indicate that our proposed method can improve the performance of cellular networks.