Zhang, Jing ; Zheng, Jinke ; Xiang, Lin ; Ge, Xiaohu (2023)
Risk-aware Online Optimization of Cross-Layer Resource Allocation in Next-Generation WLANs.
2023 IEEE/CIC International Conference on Communications in China. Dalian, Peoples Repuplic of CHina (10.08.2023 - 12.08.2023)
doi: 10.1109/ICCC57788.2023.10233666
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Kurzbeschreibung (Abstract)

Fiber-to-the-room (FTTR) technology provides a promising solution to enable high-capacity indoor wireless communications in next-generation wireless local area networks (WLANs). In this paper, we consider online cross-layer resource allocation in the uplink of FTTR WLANs to facilitate immersive user experience. We formulate a nonconvex optimization problem for maximizing the long-term total network utility while ensuring proportional fairness among the users and guaranteeing users’ quality of service (QoS) requirements. Unlike the existing cross-layer resource allocation schemes, our approach simultaneously ensures queue stability and mitigates the risk of data loss caused by e.g. fading and interference, preemptive multiuser access, and finite buffer capacity, both achieved by limiting the entropic value-at-risk (EVaR) of the users’ data queues. By employing Lyapunov optimization and relaxation techniques, we further transform the NP-hard problem into a convex problem and solve it via convex optimization. Simulation results show that the proposed EVaR-based cross-layer resource allocation framework can effectively limit the length of data queues at the users and, at the same time, provide fairness for the throughput achieved among users.

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