Inter-cell interference can be seen as a huge challenge towards meeting the high capacity and coverage targets, as envisioned in 5G era. To this end, factors like the expected high density of access nodes reusing the same spectrum, the diverse sources of interference from heterogeneous access technologies, flexible wireless backhauling and the consideration of multiple 5G services with different KPIs can have strong impact on the way interference management is handled. This paper discusses three key interference management drivers, as good candidates for service-tailored optimization, which aim improving users' performance in terms of cell-edge throughput, provide energy-efficiency aware resource management and minimize the signalling overhead using BS clustering and context-awareness.
An explosive growth in the demand for higher data rates and capacity along with diverse requirements set by massive and ultra-reliable machine-type communications have been the main drivers behind the development on new access technologies as part of the fifth generation (5G) networks. Currently, different air interfaces (AIFs), optimized based on the frequency band of operation, are envisioned for such a network. Developing an agile resource management framework for 5G networks is one of the main goals of the METIS-II project. The METIS-II project builds strongly upon the EU flagship project METIS, which has laid the foundation of 5G. This framework will take into account the multi-link and multi-layer constraints currently envisioned for 5G. In this paper, we provide our first insights into agile resource management and the associated synchronous control functions. We will discuss about the essential building blocks and their mapping to 5G services and deployments. The introduced agile resource management framework for 5G is expected to enable enhanced interference management, dynamic traffic steering, fast radio access network (RAN) moderation, efficient context management, and optimized integration with legacy networks.
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