Technical Program

Paper Detail

Paper IDD-2-1.1
Paper Title DUAL ADAPTIVE MODULATION AND CODING FOR MITIGATING UE-UE INTERFERENCE IN HETEROGENEOUS TDD SLOT CONFIGURATIONS
Authors Jen-Yi Pan, Chih-Yang Chen, Wen-Hsueh Lin, National Chung Cheng University, Taiwan; Wei-Chen Pao, Industrial Technology Research Institute, Taiwan; Jhe-Hao Liang, Bo-Yen Wu, National Chung Cheng University, Taiwan
Session D-2-1: Digital Convergence of 5G, AIoT and Security I
TimeWednesday, 09 December, 12:30 - 14:00
Presentation Time:Wednesday, 09 December, 12:30 - 12:45 Check your Time Zone
All times are in New Zealand Time (UTC +13)
Topic Wireless Communications and Networking (WCN): Special Session: Digital Convergence of 5G, AIoT and Security
Abstract The mobile communication system changes decade after decade. The next generation of mobile communication aims to provide users with better service experience and can be applied in various scenarios. When adjacent Transmission Reception Points (TRP) operate in different transmission directions in heterogeneous time-division duplexing (TDD) slot configurations for accommodating their diverse traffic load, additional Cross-Link Interference (CLI) happens. This will seriously degrade the transmission quality for nearby base stations or user equipments (UE). This paper proposed an approach on link adaptation to mitigate CLI. The mechanism proposed in this study will establish a Victim UE-Aggressor UE pair list through some UE-UE measurements. While transmission proceeds, the victim UE will feedback two channel quality indicators in two cases of sub-frames. One is without aggressor UE interference, and the other is with aggressor UE interference. Therefore, two modulations and coding selections (MCS) can be obtained through these two types of feedback. The proposed MCS adaptation method can possibly mitigate impact of CLI from aggressor UEs, reduce error rate, average packet delay and retransmission times, and improve system performance, such as downlink cell spectral efficiency as well as cell edge spectral efficiency.