This work takes a nonlinear utility optimization based approach to allocate band- width channel resources among interfering interfaces both in presence of balanced and unbalanced traffic. A new algorithm is proposed to leverage channel related access information in dynamic network scenario for optimal performance. Preliminary results from implementation of nonlinear utility maximization based on data rate and tested indoor IEEE WLAN 802.11n+s on ns-3 simu- lation are presented. Implication of economic perspective of resource allocation and technological efficiency of WLAN is demonstrated. Experimental software developed under this work, natu- rally leads to a programmable interface for management and control of physical layer resources in an optimal fashion.