23 research outputs found

    MonArch: Network Slice Monitoring Architecture for Cloud Native 5G Deployments

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    Automated decision making algorithms are expected to play a key role in management and orchestration of network slices in 5G and beyond networks. State-of-the-art algorithms for automated orchestration and management tend to rely on data-driven methods which require a timely and accurate view of the network. Accurately monitoring an end-to-end (E2E) network slice requires a scalable monitoring architecture that facilitates collection and correlation of data from various network segments comprising the slice. The state-of-the-art on 5G monitoring mostly focuses on scalability, falling short in providing explicit support for network slicing and computing network slice key performance indicators (KPIs). To fill this gap, in this paper, we present MonArch, a scalable monitoring architecture for 5G, which focuses on network slice monitoring, slice KPI computation, and an application programming interface (API) for specifying slice monitoring requests. We validate the proposed architecture by implementing MonArch on a 5G testbed, and demonstrate its capability to compute a network slice KPI (e.g., slice throughput). Our evaluations show that MonArch does not significantly increase data ingestion time when scaling the number of slices and that a 5-second monitoring interval offers a good balance between monitoring overhead and accuracy.Comment: Accepted at IEEE/IFIP NOMS 202

    Trellis precoding for MIMO broadcast signaling

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    Regionally Distributed Architecture for Dynamic e-Learning Environment (RDADeLE

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    Abstract—Grids are increasingly being used in applications, one of which is e-learning. As the majority of academic and business institutions and training centres around the world have adopted this technology in order to create, deliver and manage their learning materials through the web, the subject has become the focus of investigate. Still, collaboration between these institutions and centres is limited. Existing technologies such as grid, web services and agents are promising better results. In this paper we propose to make the e-learning environment more dynamic by dividing it into regional data grids. Multi-agent technology has been used to integrate each regional data grid with the others in order to produce an architecture which is more scalable, stronger and efficient. The result is what we call it Regionally Distributed Architecture for Dynamic e-Learning Environment (RDADeLE)

    Buffer Schemes for VBR Video Streaming over Heterogeneous Wireless Networks

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    With the co-existence of different wireless networks, which exhibit largely different bandwidth and coverage characteristics, much interest has been involved in integrating these networks to support smooth and efficient multimedia services. In this paper, we present an analytical framework for variablebit-rate (VBR) video streaming in a two-tier wireless network with VBR channels. We derive the expected number of jitters and average buffering delay during video playback as measures of system performance. Our objective is to discover heterogeneous networking attributes that may influence the streaming performance, in terms of the tradeoff between jitter frequency and buffering delay. Through experimenting with a wide range of fixed, separate, and jointly optimal jitter-recovery buffering schemes, based on buffering delay, buffered data, and buffered playback duration, we quantify the benefit of incorporating user location information in streaming over heterogeneous wireless networks

    Parallel Soft Spherical Detection for Coded MIMO Systems

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    A sub-optimum a-posteriori probability (APP) detector is proposed for iterative joint detection/decoding in a multiple-input multiple-output (MIMO) wireless communication system employing an outer code. The proposed detector searches inside a given sphere in a parallel manner to simultaneously find a list of m-best points based on an additive metric. The metric is formed by combining the channel output and the a-priori information. The parallel structure of the proposed method is suitable for hardware parallelization. The radius of the sphere and the value of m are selected according to the channel condition to reduce the complexity. Numerical results are provided showing a significant reduction in the average complexity (for a similar performance and peak complexity) as compared to the best earlier known method. The proposed scheme is applied for the decoding of the rate 2, 4Ă—2 MIMO code employed in the 802.16e standard
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