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Aarne Mämmelä

Publications and source records attributed to Aarne Mämmelä.

2 recordsLinked to original sources

Hybrid Self-Organizing Networks: Evolution, Standardization Trends, and a 6G Architecture Vision

Self-organizing networks (SONs) need to be endowed with self-coordination capabilities to manage the complex relations between their internal components and to avoid their destructive interactions. Existing communication technologies commonly implement responsive self-coordination mechanisms that can be very slow in dynamic situations. The sixth generation (6G) networks, being in their early stages of research and standardization activities, open new opportunities to opt for a design-driven approach when developing self-coordination capabilities. This can be achieved through the use of hybrid SON designs. A hybrid architecture combines the centralized and distributed management and control. In this article, we review the history of SONs including the inherent self-coordination feature. We then delve into the concept of hybrid SONs (H-SONs), and we summarize the challenges, opportunities, and future trends for H-SON development. We provide a comprehensive collection of standardization activities and recommendations, discussing the key contributions and potential work to continue the evolution and push for a wide adoption of the H-SON paradigm. More importantly, as a key 6G architectural feature we propose that H-SONs should be loosely coupled networks. Loose coupling refers to the weak interaction of different layers and weak interaction between users in the same layer, i.e., the various feedback loops must be almost isolated from each other to improve the stability and to avoid chaotic situations. We finally conclude the paper with the key hints about the future landscape and the key drivers of 6G H-SONs.

cs.NI↗

Research and Education Towards Smart and Sustainable World

We propose a vision for directing research and education in the ICT field. Our Smart and Sustainable World vision targets at prosperity for the people and the planet through better awareness and control of both human-made and natural environment. The needs of the society, individuals, and industries are fulfilled with intelligent systems that sense their environment, make proactive decisions on actions advancing their goals, and perform the actions on the environment. We emphasize artificial intelligence, feedback loops, human acceptance and control, intelligent use of basic resources, performance parameters, mission-oriented interdisciplinary research, and a holistic systems view complementing the conventional analytical reductive view as a research paradigm especially for complex problems. To serve a broad audience, we explain these concepts and list the essential literature. We suggest planning research and education by specifying, in a step-wise manner, scenarios, performance criteria, system models, research problems and education content, resulting in common goals and a coherent project portfolio as well as education curricula. Research and education produce feedback to support evolutionary development and encourage creativity in research. Finally, we propose concrete actions for realizing this approach.

cs.AI↗