  As network systems evolve, there is an escalating demand for automated tools
to facilitate efficient management and configuration. This paper explores
conflict resolution in Intent-Based Network (IBN) management, an innovative
approach that holds promise for effective network administration, especially
within radio access domain. Nevertheless, when multiple intents are in
operation concurrently, conflicts may emerge, presenting a significant issue
that remains under-addressed in the current literature. In response to this
challenge, our research expands the range of conflict resolution strategies
beyond the established Nash Bargaining Solution (NBS), to incorporate the
Weighted Nash Bargaining Solution (WNBS), the Kalai-Smorodinsky Bargaining
Solution (KSBS), and the Shannon Entropy Bargaining Solution (SEBS). These
methods are employed with the objective to identify optimal parameter values,
aiming to ensure fairness in conflict resolution. Through simulations, it is
demonstrated that distinct antenna tilt values are yielded as the respective
solutions for each method. Ultimately, based on Jain Fairness Index, the KSBS
is identified as the most equitable method under the given conditions.
