The paper proposes a framework for traffic based dynamic radio resource allocation to mitigate Inter Cell Interference (ICI) in cooperative communication for LTE MIMO-OFDMA systems using evidence theory. The objective is to address ICI, by dynamic user categorization, resource partitioning and management of radio resources. Through evidence based dynamic categorization of users, dynamic frequency planning and dynamic allocation of resources, spectral efficiency is enhanced by increasing data rate of users. It requires the cell users to be categorized into edge and center users depending on the confidence factor, computed using Dempster Shaffer Combinational Rule (DSCR). A traffic based dynamic Soft Frequency Reuse (SFR) plan is proposed using categorized user information to partition the available resources i.e., subcarrier and associated power. A subset of resources is allocated to identified edge users based on dynamic traffic. The traffic based evidential categorization of users, partitioning of resources provides improved data rate and spectral efficiency of edge users. The allocation of resources is dynamic in the proposed framework, leading to an improvement of spectral efficiency from 6.6 b/s/Hz to 12.4 b/s/Hz in a cell. The proposed methodology adapts to the user traffic in a cell and allocates the resources satisfying maximum users.