KEYWORDS: Genetic algorithms, Design and modelling, Distributed computing, Data transmission, Computer simulations, Wireless communications, Systems modeling, Telecommunications, Signal to noise ratio, Mathematical optimization
Ultra-dense network (UDN) can provide extremely high throughput and data rates. However, the dense deployment of access points (APs) causes severe interference. In order to reduce interference and effectively allocate network resources while ensuring the user's quality of service (QoS), this paper proposes a UDN resource joint allocation scheme based on cooperative computing and genetic algorithm. This algorithm solves the problem of the slow convergence of the traditional genetic algorithm and can also prevent potential split-brain problems for overlapping APs. The simulation results show that the algorithm can guarantee the system's performance while avoiding the high computational complexity problem caused by global resource optimization.
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