CoMP-Enhanced Flexible Functional Split for Mixed Services in Beyond 5G Wireless Networks
Li-Hsiang Shen, Yung-Ting Huang, Kai-Ten Feng

TL;DR
This paper proposes a CoMP-enhanced flexible functional split scheme for beyond 5G networks, improving spectrum efficiency and latency for mixed services using stochastic geometry and adaptive mode allocation.
Contribution
It introduces a novel CoMP-based functional split mode allocation scheme with a processor sharing model, optimizing performance for diverse B5G service requirements.
Findings
CFSMA scheme improves spectrum efficiency and latency performance.
Analytical models accurately predict network ergodic rate and reliability.
Proposed scheme outperforms traditional scheduling and fixed configurations.
Abstract
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 FSO-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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Communication Technologies · Advanced Optical Network Technologies
