With the rapid evolution of smart devices, ease of availability and accessibility of Internet
application services, the demand of user's level of satisfaction are constantly growing. This creates
challenges when mobile users in large quantity gather at confine places creating a scenario of highdensity
wireless network environment (HDWN). Guaranteeing high quality of services (QoS) without
proper understanding of user’s expectations and their Quality of Experience (QoE) may lead to over
provisioning of resources. This poses different challenges to network service providers. Moreover,
limited studies have been found relating to QoE in dense network. The objective of this paper is to
develop mapping mechanism that maps QoS parameters onto QoE metrics in HDWN. This paper
proposes fuzzy-genetic algorithm to map QoS-QoE based on the critical comparative analysis of
different mechanisms. Preliminary analysis had been done based on mathematical model to establish
the correlation between QoS parameters (delay and jitter) and QoE metrics (satisfaction) to determine
the maximum and minimum impairment threshold. Further, the correlation between QoS-QoE had been
evaluated with varying traffic load to determine the traffic load impact on QoE. Also the load threshold
was found, that would help the network providers to take proper measure to maintain user’s satisfaction
as the maximum threshold limit is reached.