Latency Minimization in 5G Network Backhaul Links Using Chaotic Algorithms

In the realm of 5G wireless networks, achieving ultralow latency is of paramount importance to support real-time
applications and services. A critical factor influencing overall
network latency is the backhaul links connecting remote base
stations to the core network. This research delves into the
application of chaotic algorithms for latency minimization in 5G
network backhaul links. Chaotic algorithms, known for their
sensitivity to initial conditions, offer a unique approach to
optimizing network performance. By harnessing the inherent
randomness and deterministic chaos, these algorithms can
effectively explore the solution space for optimal routing and resource allocation. Through comprehensive simulations and performance evaluations, this study demonstrates the potential of chaotic algorithms to significantly reduce latency in 5G backhaul networks. The results underscore the viability of utilizing chaosinspired techniques to address latency concerns, opening new avenues for enhancing the overall efficiency of 5G networks.