As　wireless　communication　services　continue　to　advance,　the　demand　for　reliability　and　latency　has　become　increasingly　stringent.　This　is　especially　crucial　in　areas　like　personal　consumption　and　the　Industrial　Internet　of　Things　(IIoT).　To　address　the　need　for　Hyper　Reliable　and　Low-Latency　Communication　(HRLLC)　and　cater　to　diverse　user　equipment　(UE)　capabilities,　this　paper　presents　a　novel　approach　with　a　focus　on　optimizing　both　latency　and　energy　efficiency.　It　introduces　a　distributed　geo-location　aware　UE　aggregation　transmission　scheme　based　on　edge　computing　for　HRLLC　services.　This　scheme　includes　a　communication　procedure　designed　to　enhance　reliability　and　reduce　latency,　wherein　some　UEs　or　particular　higher　end　devices　play　as　coordination　nodes　for　packet　duplication　through　multi-path　simultaneously.　Considering　the　system　signaling　overhead　and　signal　processing　capability　of　each　cooperation　node　(CN),　a　multiple-user　scheduling　algorithm　with　geo-location　awareness　under　different　coordination　nodes　is　performed　at　each　cooperation　node,　with　a　restriction　of　latency　requirement　and　energy　efficiency,　i.e.,　a　lower　Energy-Delay　Product　(EDP)　performance.　The　research　presented　in　this　paper　offers　valuable　insights　into　the　development　of　distributed　cooperation　systems　for　reliability　and　delay　sensitive　services.　©　2023　IEEE.