The　network　densification　of　small　cells　(SCs)　is　a　promising　way　to　cope　with　the　explosive　growth　of　future　traffic　demands　in　5G　networks.　However,　the　overall　power　consumption　and　the　backhaul　limitation　of　the　network　have　become　the　key　factors　affecting　the　network　performance　and　users＇　quality　of　-experience,　which　have　great　importance　in　5G　wireless　networks.　Due　to　the　complexity　of　5G　networks　and　the　variety　of　user　behaviors,　the　combination　of　software-defined　networks　and　content　delivery　strategy　could　be　a　more　efficient　way　to　manage　such　networks.　In　this　paper,　a　cache-enabled　wireless　heterogeneous　network　with　the　control-plane　(C-plane)　and　user-plane　(U-plane)　split　is　proposed,　where　the　macro　cell　and　SCs　with　different　cache　abilities　are　overlaid　and　cooperated　together　in　the　backhaul　scenario.　Using　an　evaluation　tool　composed　of　stochastic　processes　and　classical　power　consumption　model,　key　performance　indicators,　e.g.,　the　coverage　probability,　throughput,　and　energy　efficiency　(EE),　are　derived　as　closed-form　expressions　or　the　functions　of　the　signal-to-interference-plus-noise　ratio　threshold,　path　loss　exponent,　transmission　power　and　density　of　macro　and　SCs,　cache　ability,　file　popularity,　and　backhaul　capacity.　Fundamental　trade-offs　are　illustrated　between　EE　and　transmission　power,　EE　and　SC　density,　as　well　as　the　throughput　and　density　of　SCs.　Numerical　results　show　that　the　proposed　cache-enabled　software-defined　networks　have　much　higher　throughput　and　improved　EE　than　current　LTE　networks,　which　shows　a　promising　solution　for　future　cellular　networks.