Analysis and Characterization of the Impact of Frequency-Selective Interference on Reporting Period for Next-Generation Wireless Networks

In next-generation wireless networks (NGWNs), user equipment (UE) are required to send reports on their channel quality indicator (CQI) to maintain the overall service performance. In this regard, UE reports such as CQIs play a crucial role in interference management in NGWNs. Short reporting periods cause excessive amount of over-the-air signaling (overhead) in the network and negatively impact the battery life of UE, whereas long reporting periods cause interference management procedures not to instantaneously react to dynamically changing conditions. Therefore, in this study, a reporting mechanism that changes the reporting period in an adaptive manner is proposed. Interference is modeled as a composite stochastic process, which includes both shadowing and frequency-selective fading together. It is shown that the decorrelation distance of shadowing is the key parameter for such an adaptive reporting. Practical scenarios are considered in simulations, including different environmental and mobile speed classes. Performance evaluation is established by comparing the signaling overhead of the method proposed with those of traditional strategies such as deterministic/periodic and random reporting. Numerical and experimental results are presented, along with relevant discussions.