With　the　development　of　Internet　of　Things　(IoT)　technology,　the　number　of　IoT　devices　connecting　to　the　network　has　grown　exponentially,　posing　significant　challenges　to　existing　networks.　Future　network　architectures　will　need　to　accommodate　a　larger　scale　and　higher　requirements　of　device　access.　For　uplink　systems　with　a　large　number　of　IoT　devices,　limited　spectrum　resources　restrict　access　to　IoT　devices.　In　this　paper,　we　build　on　the　foundation　of　UE　Aggregation,　introducing　non-orthogonal　multiple　access　(NOMA)　technology　and　pairing　the　cooperative　points(CNs)　and　IoT　devices　into　a　joint　transmission　pair　(JTP)　to　enhance　the　access　rate　for　users　at　the　cell　edge.　With　the　assistance　of　CNs,　this　approach　aids　users　in　combating　interference,　thereby　improving　the　overall　spectral　efficiency　of　the　system.　Therefore,　we　model　the　problem　as　maximizing　the　system＇s　spectral　efficiency.　For　this　purpose,　we　introduce　an　algorithm　for　user　pairing,　and　we　employ　a　greedy　strategy　based　on　the　maximum　weighted　independent　set　(MWIS)　of　a　graph　to　allocate　subchannels　to　different　user　groups.　Finally,　the　simulation　results　demonstrate　that　the　JTP-based　UE　aggregation　and　joint　transmission　design　can　effectively　enhance　the　sum　rate　for　edge　users　accessing　the　network　via　the　CN,　indicating　improved　system　spectral　efficiency　under　limited　subchannel　resources.　Under　a　fixed　number　of　subchannels,　the　JTP-based　UE　aggregation　strategy　achieves　nearly　a　70　%　increase　in　data　rate　compared　to　OMA,　and　brings　up　to　a　36　%　improvement　over　traditional　NOMA　schemes.　©　2024　IEEE.