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Femtocell is a technology that contributes towards the escalation of coverage as well as throughput. By virtue of uncertain deployment of femtocells, self‐organisation is a viable solution for resource allocation. In this study, we are projecting a docitive Q‐learning (DQL) paradigm for joint resource allocation and power control (JRAPC). Moreover, the proposed learning paradigm is compared with independent Q‐learning for the same JRAPC problem. In the proposed DQL paradigm, femto base stations, which are agents, learn the strategies by exploiting Q‐learning and share their learned strategies with their neighbours. Concerning the shared channel environment, the problem function is formulated as the maximisation of femtocell capacity while maintaining the quality of service requirement of the macrousers. The impact of the proposed DQL paradigm is investigated on system capacity and femtocell capacity …