Content　caching　at　base　stations　is　a　promising　approach　to　alleviate　the　transmission　pressure　of　the　wireless　network.　In　this　paper,　we　propose　a　heterogeneous　network　caching　strategy,　which　base　stations　cache　segments　of　files　and　takes　advantage　of　the　Maximum-distance　separable　(MDS)　encoding.　We　formulate　the　caching　problem　as　an　optimization　problem　and　the　average　energy　consumption　is　adopted　as　the　optimization　objective.　For　binary　constraints　and　inequalities　constraints,　the　optimization　problem　is　NP-hard,　thus　a　global　optimal　solution　is　difficult　to　obtain.　In　this　paper,　a　heuristic　algorithm,　Simulated　Anneal　Algorithm,　is　applied　to　obtain　the　local　optimal　solution.　The　simulation　results　show　the　performance　improvement　of　the　proposed　caching　strategy　over　the　conventional　caching　strategies.　©　2018　IEEE.