Joint Link Adaptation and Scheduling for 5G Ultra-Reliable Low-Latency Communications
By Guillermo Pocovi, Klaus Ingemann Pedersen, Preben Elgaard Mogensen. 2018
132 citations recorded by the source corpus.
This paper presents solutions for efficient multiplexing of ultra-reliable low-latency communications (URLLC) and enhanced mobile broadband (eMBB) traffic on a shared channel. This scenario presents multiple challenges in terms of radio resource scheduling, link adaptation, and inter-cell interference, which are identified and addressed throughout this paper. We propose a joint link adaptation and resource allocation policy that dynamically adjusts the block error probability of URLLC small payload transmissions in accordance with the instantaneous experienced load per cell. Extensive system-level simulations of the downlink performance showpromising gains of this technique, reducing the URLLC latency from 1.3 to 1 ms at the 99.999% percentile, with less than 10% degradation of the eMBB throughput performance as compared with conventional scheduling policies. Moreover, an exhaustive sensitivity analysis is conducted to determine the URLLC and eMBB performance under different offered loads, URLLC payload sizes, and link adaptation and scheduling strategies. The presented results give valuable insights on the maximum URLLC offered traffic load that can be tolerated while still satisfying the URLLC requirements, as well as what conditions are more appropriate for dynamic multiplexing of URLLC and eMBB traffic in the upcoming 5G systems.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
How researchers see this paper
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In Computer Networks and Communications
- Medhi Bennis
- Jihong Park
- Merouane Debbah
- Sumudu Samarakoon
- Klaus Ingemann Pedersen
- Walid Saad
- Anis Elgabli
- H. Vincent Poor
In Electrical and Electronic Engineering
- Medhi Bennis
- Sumudu Samarakoon
- Merouane Debbah
- Jihong Park
- Ali A. Esswie
- Klaus Ingemann Pedersen
- Walid Saad
- Rui Zhang
Citations in the corpus
- Wireless Network Intelligence at the Edge (2018, background): “On the other hand, new emerging use cases advocate a mixture of URLLC with eMBB and/or mMTC via slicing, in which a pool of shared resources (spectrum, computing power, and memory) is used [55]–[61].”
- Opportunistic Spatial Preemptive Scheduling for URLLC and eMBB Coexistence in Multi-User 5G Networks (2018, background): “In line with [12] and [13], the scheduling grant is transmitted within the resources assigned to each user, i.”