Active Admission Control in a P2P Distributed Environment for Capacity Efficient Livestreaming in Mobile Wireless Networks
Andrei Negulescu, Weijia Shang
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8 pages, 6 figures, 3 tables; Accepted for publication in: Proceedings of the 2023 International Conference on Computational Science and Computational Intelligence (CSCI'23: December 13-15, 2023, Las Vegas, Nevada, USA); Publisher: IEEE Computer Society (CPS)
In this study, the Active Control in an Intelligent and Distributed Environment (ACIDE) media distribution model solution and algorithms are proposed for livestreaming in capacity efficient mobile wireless networks. The elements of the ACIDE model are a base station and a cluster formed by a number of peers able to establish peer to peer communications. The cluster peers are selected from a group of users interested in livestreaming the same media. The ACIDE model solution minimizes the bandwidth allocated to a cluster of n peers such that an uninterrupted media play for all peers is guaranteed. The livestream media is sent to the peers in packages and every media package is divided into n blocks. The blocks are distributed to the n peers of a cluster in two phases, such that the base station bandwidth is utilized during first phase only. The allocated bandwidth, the amount of bandwidth the base station has to allocate to a cluster, is minimized and its lower bound is equal to the bandwidth required for multicasting. In this study, the ACIDE model is used to address the problem of how to find the maximum number of peers n, chosen from a group of N users, that can be admitted to a cluster knowing the given allocated bandwidth, the amount of bandwidth that a base station allocates to a cluster in advance, prior to admitting users. When users become peers of an ACIDE cluster, the network capacity, the total number of users who are able to access live media, increases meaning that network resources are used more efficiently. The problem of finding the maximum number of peers n is addressed as an optimization problem, with the objective of having the entire given allocated bandwidth used by the peers admitted to the cluster. This problem is NP-complete and a non-optimal solution is proposed for peers selection such that all admitted peers play media continuously.
Eindhoven University of Technology(埃因霍温理工大学);Nokia Bell Labs(诺基亚贝尔实验室)
The key challenge in admission control in wireless networks is to strike an optimal trade-off between the blocking probability for new requests while minimizing the dropping probability of ongoing requests. We consider two approaches for solving the admission control problem: i) the typically adopted threshold policy and ii) our proposed policy relying on reinforcement learning with neural networks. Extensive simulation experiments are conducted to analyze the performance of both policies. The results show that the reinforcement learning policy outperforms the threshold-based policies in the s…
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Provisioning of Quality of Service (QoS) is a key issue in any multi-media system. However, in wireless systems, supporting QoS requirements of different traffic types is more challenging due to the need to minimize two performance metrics - the probability of dropping a handover call and the probability of blocking a new call. Since QoS requirements are not as stringent for non-real-time traffic types, as opposed to real-time traffic, more calls can be accommodated by releasing some bandwidth from the already admitted non-real-time traffic calls. If we require that such a released bandwidth t…
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AWaRe-SAC: Proactive Slice Admission Control under Weather-Induced Capacity Uncertainty
School of Electrical Engineering, Tel Aviv University(特拉维夫大学电气工程学院);Department of Electrical and Computer Engineering, Northwestern University(西北大学电气与计算机工程系);Department of Electrical Engineering, Columbia University(哥伦比亚大学电气工程系);Department of Electronics, Information and Bioengineering, Politecnico di Milano(米兰理工学院电子、信息与生物工程系)
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