Aimed　at　the　doubly　near-far　problems　in　a　large　range　suffered　by　the　remote　user　group　and　in　a　small　range　existing　in　both　nearby　and　remote　user　groups　during　energy　harvesting　and　computation　offloading,　a　resource　allocation　method　for　unmanned　aerial　vehicle　(UAV)-assisted　and　user　cooperation　non-linear　energy　harvesting　mobile　edge　computing　(MEC)　system　is　proposed.　The　UAV　equipped　with　an　MEC　server　is　introduced　to　provide　energy　and　computing　services　for　the　remote　user　group　to　alleviate　the　doubly　near-far　problem　in　a　large　range　suffered　by　the　remote　user　group.　The　doubly　near-far　problem　in　a　small　range　existing　in　both　nearby　and　remote　user　groups　is　mitigated　by　user　cooperation.　The　specific　user　cooperation　strategy　is　that　the　user　near　the　base　station　or　the　UAV　is　used　as　a　relay　to　transfer　the　computing　task　of　the　user　far　from　the　base　station　or　the　UAV　to　the　MEC　server　for　computing.　By　jointly　optimizing　users’　offloading　time,　users’　transmitting　power,　and　the　hovering　position　of　the　UAV,　the　resource　allocation　problem　is　modeled　as　a　nonlinear　programming　problem　with　the　objective　of　maximizing　computation　efficiency.　The　suboptimal　solution　is　obtained　by　adopting　the　differential　evolution　algorithm.　Simulation　results　show　that,　compared　with　the　resource　allocation　method　based　on　genetic　algorithm　and　the　without　user　cooperation　method,　the　proposed　method　has　higher　computation　efficiency.　©　2023,　Shanghai　Jiao　Tong　University.