Large-scale　multiple-input　mUltiple-output　(MIMO)　system　with　tens　to　hundreds　of　antennas　is　getting　increasing　attention　for　its　very　high　spectral　efficiency　and　energy　efficiency.　However,　for　frequency　division　duplexing　(FDD)　system,　the　cost　of　CSIT　feedback　becomes　a　bottleneck　with　the　BS　antennas　increasing.　To　reduce　the　cost　of　the　downlink　training　and　the　CSIT　uplink　feedback,　joint　spatial　division　and　multiplexing　(JSDM)　scheme　is　proposed　by　Ansuman　Adhikary,　et　al.,　which　divides　users　into　different　groups　according　to　their　channel　covariance　eigenvectors　and　adopts　the　two-stage　precoding.　This　paper　proposes　a　joint　user　selection　and　power　allocation　(JUSPA)　algorithm　for　JSDM　scheme　in　massive　MIMO　downlink　systems,　which　schedules　users　and　allocates　power　iteratively　with　the　MAX　user　scheduling　and　the　Lagrange　power　optimization　method.　For　user　scheduling,　it　is　noticed　that　the　intra-group　interference　is　so　large　that　would　disturb　the　user　selection.　Then　the　signal-to-interference　noise　ratio　(SINR)　of　each　beam　is　computed,　neglecting　the　intra-group　interference.　The　simulation　results　show　that　the　proposed　JUSPA　algorithm　performs　better　than　the　average　power　allocation　method　in　the　original　JSDM　scheme.