In　heterogeneous　wireless　networks　with　time-varying　channels,　the　video　rate　is　usually　adjusted　based　on　the　network　bandwidth　to　guarantee　ultra-low　latency　video　transmission　under　an　end-to-end　target　delay　constraint.　However,　the　target　delay　with　a　fixed　value　according　to　historical　experience　cannot　guarantee　the　quality　of　video　continuously　since　wireless　network　bandwidth　changes　rapidly,　especially　when　the　network　deteriorates.　An　alternative　scheme　is　to　dynamically　set　the　target　delay　according　to　the　network　status　within　an　acceptable　delay　range.　However,　this　scheme　cannot　be　ensured　in　heterogeneous　wireless　networks　with　time-varying　channels.　Thus,　to　address　this　issue,　a　multi-objective　optimization　algorithm　for　joint　optimization　of　rate　control　and　target　delay　is　proposed,　where　the　target　delay　and　video　rate　are　jointly　adjusted　dynamically.　Second,　to　reduce　the　optimization　complexity　due　to　the　multi-objective　and　multi-parameter　characteristics,　multi-objective　optimization　algorithm　be　decomposed　and　solved　by　optimizing　each　independent　sub-problem.　Finally,　the　proposed　algorithm　is　verified　on　a　semi-physical　simulation　platform.　Experiments　show　that　the　frame　loss　rate　is　reduced　from　6.65%　to　2.06%,　and　a　peak　signal-to-noise　ratio　(PSNR)　gain　of　18.32%　is　obtained　when　the　network　performance　is　low.　©　2021,　Beijing　University　of　Posts　and　Telecommunications.　All　rights　reserved.