Reducing interference via link adaptation in delay-critical wireless networks

Abstract One of the current (6G) wireless networks research’s trends is to investigate short distance and dense scenarios, where users are locally connected in sub-networks. Such use case critical support advances industrial internet things or Industry 4.0 (I4.0), e.g. connecting an entire group sensors actuators a robot. Therefore, schemes that can properly manage interference must be deployed practical systems allow promised performance 6G. Targeting these high density we describe Power Optimization for Low Interference Throughput Enhancement (POLITE) paradigm link adaptation power allocation, which leverages available radio resources stabilize reduce interference. The baseline compared with POLITE their 3rd generation partnership project (3GPP) calibrated system level simulator scenarios. As services environments require reliability under constrained delays, propose different delay-aware formulations design. In this work, provide solutions both relaxed delay requirements latency traffic, whose minimized. particular, latter case, also modifications user selection resource allocation procedures further improve latency. Simulation results prove benefits terms increased throughput, fulfillment delay-critical requirements, overall reduced transmit schemes.