<p>Due to advancement of technology the multimedia is determined as a better progressive development that is applied in various domains. However, the video communication through network is enhanced in the modern world and the main purpose is to enhance the quality. But while transmitting video in network it distracted the network due to over fitting as well as congestion problem. In order to perform the video quality transmission in a network the effective resources are allocated individually to overcome the overlapping issues. Therefore, this article proposes a novel Federated Deep Reinforcement based Crossover Kepler (FDR-CK) Algorithm to enhance the video transmission quality in communication network. The implementation of time-frequency resources helps in solving the requirements of a single-frequency network. In the proposed FDR-CK, the allocated transmitted data uses spectrum resources that exhibit the non-overlapping in which they are determined in the same frequency. The effectiveness of the allocated resources is highlighted by enhancing the efficiency of FDR-CK algorithm and minimizing the co-frequency interference. This enhancement in resource allocation using proposed FDR-CK approach attained optimal solutions in video quality transmission. The effectiveness of the proposed FDR-CK is analyzed by evaluating various metrics such as diversity Gain, throughput, Bit error rate, Signal-to-noise ratio, End-to-end-delay, Packet Delivery ratio, and channel Capacity for the proposed approach with various state of art techniques. The maximum transmission rate with better quality and this is satisfied by the proposed FDR-CK method by achieving 3.2 bits/Htz.</p>