With explosively escalating service demands, beyond fifth generation (B5G) aims to realize various requirements for multi-service networks, i.e., higher performance of mixed enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) services than 5G. To flexibly serve diverse traffic, various functional split options (FSOs) are specified by 5G protocols enabling different network functions. In order to improve signal qualities for edge users, we consider flexible FSO (FFS) based coordinated multi-point (CoMP) transmission as a prominent technique capable of supporting high traffic demands. However, due to conventional confined hardware processing capability, a processor sharing (PS) model is introduced to deal with high latency for multi-service FSO-based networks. Therefore, it becomes essential to assign CoMP-enhanced functional split modes under PS model. A more tractable FSO-based network in terms of ergodic rate and reliability is derived by stochastic geometry approach. Moreover, we have proposed CoMP-enhanced functional split mode allocation (CFSMA) scheme to adaptively assign FSOs to provide enhanced mixed throughput and latency-aware services. The simulation results have validated analytical derivation and demonstrated that the proposed CFSMA scheme optimizes system spectrum efficiency while guaranteeing stringent latency requirement. The proposed CFSMA scheme with the designed PS FFS-CoMP system outperforms the benchmarks of conventional FCFS scheduling, non-FSO network, fixed FSOs, and limited available FSO selections in open literature.

In this paper, we conceive the first work of optimal functional split mode (FSM) selection for striking a balance between enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (uRLLC) in a cloudradio access network (C-RAN) for 5G new radio (NR). As a benefit of processing sharing (PS) and of coordinated multipoint transmission (CoMP) techniques, the user equipment (UE) can be served with more flexible transmission and sustaining eMBB/uRLLC service quality. Therefore, we aim at minimizing delay-outage probability (DOP) for uRLLC services by guaranteeing the quality of eMBB traffic. By employing Newton's method and convexity property, we propose an optimal FSM decision (OFD) scheme to achieve the optimal centralized/distributed control mode (CM/DM) assignment. Simulation results demonstrate the convergence and optimality of the proposed OFD algorithm compared to different parameters and schemes.