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Abstract-The Self-Organizing Networks (SON) concept includes the functional area known as self-healing, which aims to automate the detection and diagnosis of, and recovery from, network degradations and outages. This paper focuses on the problem of cell anomaly detection, addressing partial and complete degradations in cell-service performance, and it proposes an adaptive ensemble method framework for modeling cell behavior. The framework uses Key Performance Indicators (KPIs) to determine cell-performance status and is able to cope with legitimate system changes (i.e., concept drift). The results, generated using real cellular network data, suggest that the proposed ensemble method automatically and significantly improves the detection quality over univariate and multivariate methods, while using intrinsic system knowledge to enhance performance.

The Host Identity Protocol (HIP) is a rather new concept that separates the identity and location information both represented by IP addresses in the current Internet architecture. HIP also has capabilities and efficient extensions to serve macromobility, but it shows unnecessary signaling overhead and handoff latency, when used in micromobility environments. This paper introduces a new method how HIP can be extended to serve as a micromobility protocol.

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The rapid growth of IP-based mobile telecommunication technologies in the past few years has revealed situations where not only a single node but an entire network moves and changes its point of attachment to the Internet. The main goal of any protocol supporting network mobility is to provide continuous, optimal and secure Internet access to all nodes and even recursively nested mobile subnetworks inside a moving network. For this purpose, the IETF (Internet Engineering Task Force) has developed the NEtwork MObility Basic Support (NEMO BS) protocol which extends the operation of Mobile IPv6 (MIPv6). In order to bypass the same problems suffered by MIPv6 and NEMO BS, a novel Host Identity Protocol (HIP) extension called HIP-NEMO is introduced, proposed and evaluated in this paper. Our proposal is based on hierarchical topology of mobile RVSs (mRVS), signaling delegation and inter-mRVS communication to enable secure and efficient network mobility support in the HIP layer. The method provides secure connectivity and reachability for every node and nested subnet in the moving network and supports multihomed scenarios as well. Moreover, HIPNEMO reduces signaling and packet overhead during network mobility management by achieving route optimization inside any moving network even in nested scenarios. To evaluate the proposed scheme we present a simulation model implemented in OMNeT++ and discuss the results of our simulation based analysis to show the efficiency of the approach compared to the NEMO BS protocol formulated by the IETF.

Abstract. High quality and ubiquitous Internet access is a key feature of today's mobile systems such as LTE. While LTE can provide competitive peak data rates and a relatively low latency, there is still room for solutions improving end-users' Quality-of-Experience by optimizing services running over the LTE infrastructure. Being the most widespread transport protocol, TCP is in the main focus of such research projects. A widely recommended solution for TCP performance improvement is the split connection TCP proxy that divides the end-to-end TCP connection into two independent connections, that results increased throughput and faster error recovery. This paper investigates the performance of a split connection TCP proxy deployed in LTE's SAE-GW. Numerical results show significant performance improvement of file downloading, web browsing and video steaming applications in case of not congested transport networks.

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