DOI码：10.1109/ICUFN57995.2023.10200748
发表刊物：2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)
关键字：Channel allocation，AP selection，multi-priority，utility function，WiFi multicast，0-1 integer nonlinear programming
摘要：Recent years have witnessed a rapid growth of WiFi pervasively applied in multimedia content distribution. WiFi multicast is widely applied in user-dense scenarios where the spectrum resource is insufficient. Moreover, existing access point (AP) selection and channel allocation algorithms lack in-depth study on per-user throughput requirements. This paper proposes a joint optimization of AP selection and channel allocation method for multi-priority WLAN transmissions to maximize the various users’ weighted throughput satisfaction rate. In this method, we first design a 0-1 integer nonlinear programming model to describe the AP selection and channel allocation problem in the scenario of a WiFi multicast task and other tasks with different priorities. Moreover, to lower the complexity of solving mixed-integer nonlinear programming problems, we design a heuristic algorithm to obtain high-efficiency solutions.
备注：Xinwei Chen, Xiaofeng Zhong, etc
论文类型：论文集
是否译文：否
发表时间：2023-07-04