2022/08/25 by Pouria Paymard, Abolfazl Amiri, Paymard, Pouria +5 · 2 citations
Computer Science · Engineering · #FOS: Electrical engineering #FOS: Mathematics #Image and Video Quality Assessment #Numerical Analysis (math.NA) #Signal Processing (eess.SP) #Telecommunications and Broadcasting Technologies #Video Coding and Compression Technologies #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2208.11950
openalex publication_date 2022/08/25 · openalex created_date 2022/08/27 · openalex updated_date 2026/07/28
Extended Reality (XR) is one of the most important media applications in 5\textsuperscriptth Generation (5G) and 5G-Advanced. XR traffic is characterized by high data rates with bounded latency constraints, which is challenging for bandwidth-constrained wireless systems. In this paper, we propose two new low-complexity enhanced Outer Loop Link Adaptation (eOLLA) algorithms that significantly improve the downlink system capacity in terms of satisfied XR users. The algorithms exploit the Code Block Group (CBG)-based Hybrid Automatic Repeat reQuest (HARQ) multi-bit feedback for minimizing the radio resource utilization in retransmissions by controlling the first and second block error operation points. Evaluation by means of both analytical assessment and realistic system-level simulations verifies that the proposed eOLLA algorithms increase system capacity by up to \SI67\percent compared to known OLLA algorithms with traditional transport block based HARQ.