Guaranteeing high system capacity while offering low system energy consumption remains a crucial issue in wireless networks. This one becomes again more difficult if high fairness and high Quality of Service (QoS) are also required. The simultaneous achievement of these objectives often requires the usage of tradeoffs that generally provide average overall performance. However, researching a static tradeoff on the whole of these criteria is not optimal since the magnitude of importance of these ones vary according to the context. In previous works, a solution has been proposed which highlights that a dynamic trade-off based on system traffic load could outperform the static ones. In underloaded context, the focus should be put on low energy consumption while, on the contrary in overloaded context, priority should be done on high system capacity. Even though efficient, this solution is unable to provide service differentiation and consequently full fairness and adequate QoS in many context particularly when mobile have different delay constraints or throughput requirements. This paper proposes a new access scheme able to provide Fairness, Energy efficiency and high system Capacity that is called FEC scheduler. This scheme heightens the benefits of opportunistic scheduling by extending cross layer technique from physical layer to higher layers. Resource allocation is performed thanks to a system of weights that dynamically accounts for all three: the radio conditions, the system energy profitability to select a specific user and its experienced QoS. Performance evaluation shows that this solution offers efficient global system energy consumption without downgrading the system capacity while enabling good QoS differentiation and fairness.