2021/05/11 by Alessandro Brighente, Brighente, Alessandro, Jafar Mohammadi +7 · 5 citations
Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Telecommunications and Broadcasting Technologies
paper · pdf · doi:10.48550/arxiv.2105.05152
openalex publication_date 2021/05/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Traditional link adaptation (LA) schemes in cellular network must be revised for networks beyond the fifth generation (b5G), to guarantee the strict latency and reliability requirements advocated by ultra reliable low latency communications (URLLC). In particular, a poor error rate prediction potentially increases retransmissions, which in turn increase latency and reduce reliability. In this paper, we present an interference prediction method to enhance LA for URLLC. To develop our prediction method, we propose a kernel based probability density estimation algorithm, and provide an in depth analysis of its statistical performance. We also provide a low complxity version, suitable for practical scenarios. The proposed scheme is compared with state-of-the-art LA solutions over fully compliant 3rd generation partnership project (3GPP) calibrated channels, showing the validity of our proposal.