Throughput Maximization and IR-HARQ Optimization for URLLC Traffic in 5G Systems

被引：0

作者：

Avranas, Apostolos ^{[1
]}

Kountouris, Marios ^{[1
]}

Ciblat, Philippe ^{[2
]}

机构：

[1] Paris Res Ctr, Math & Algorithm Sci Lab, Huawei, France

[2] Univ Paris Saclay, Telecom ParisTech, F-75013 Paris, France

来源：

ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2019年

关键词：

ALLOCATION; ADAPTATION; CHANNELS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Emerging 5G networks will need to efficiently support ultra-reliable, low-latency communications (URLLC) services, which require extremely low latency (msec order) with very high reliability (99.999%). We consider a URLLC system with short packets and incremental redundancy hybrid automatic repeat request (IR-HARQ). We aim at maximizing the throughput by optimally tuning the IR-HARQ mechanism subject to URLLC constraints and a fixed energy budget. We propose a dynamic programming algorithm for solving the throughput maximization problem in the finite blocklength regime and assess its performance numerically.

引用

页数：6

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