The exponential growth of data traffic and user demand in modern communication systems has significantly increased the complexity of data streaming and management in Beyond Fifth Generation (B5G) networks. These networks face critical challenges such as network congestion, traffic load imbalance, latency, energy consumption, spectrum inefficiency, and limited storage capacity for real-time content delivery. Addressing these issues requires new architectural and conceptual approaches rather than incremental improvements to existing methods. This paper introduces a novel conceptual framework for cache-enabled uplink transmission within heterogeneous network environments comprising Macro Base Stations (MBSs), Small Cell Networks (SCNs), and mobile user devices. The proposed framework aims to optimize uplink content delivery by eliminating redundant cached data through curated content lists and employing content segmentation for distributed cache placement. The framework is organized into three interrelated components: Unified Distributed Cached Content Management at the MBS level, Content Deduplication and Segmentation at the SCN level, and Content Matchmaking at the mobile device level. Together, these components enable efficient data synchronization, enhance resource utilization, and minimize redundant data transmissions. Although this study is primarily conceptual, it establishes a strong theoretical foundation for future experimental validation. The proposed design is expected to improve traffic management efficiency, reduce energy consumption, and enhance Quality of Service (QoS) and user experience in future B5G and 6G communication environments.