A. Mämmelä, J. Riekki, A. Kotelba and A. Anttonen, "Multidisciplinary and Historical Perspectives for Developing Intelligent and Resource-Efficient Systems," in IEEE Access, vol. 6, pp. 17464-17499, 2018. doi: 10.1109/ACCESS.2018.2816605
Multidisciplinary and historical perspectives for developing intelligent and resource-efficient systems
|Author:||Mämmelä, Aarne1; Riekki, Jukka2; Kotelba, Adrian1;|
1VTT Technical Research Centre of Finland Ltd.
2University of Oulu
|Online Access:||PDF Full Text (PDF, 3.9 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe201803196073
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-03-19
As communication and computation systems become more complex and target at higher performance, the fundamental limits of nature can be expected to constrain their development and optimization. This calls for intelligent use of basic resources, that is, materials, energy, information, time, frequency, and space. We present a multidisciplinary and historical review on the body of knowledge that can be applied in researching such intelligent and resource-efficient systems. We review general system theory, decision theory, control theory, computer science, and communication theory. While multidisciplinarity has been recognized important, there are no earlier reviews covering all these five disciplines. Based on the review, we build a chronology of intelligent systems and identify connections between the disciplines. Optimization, decision-making, open- and closed-loop control, hierarchy, and degree of centralization turn out as recurring themes in these disciplines, which have converged to similar solutions that are based on remote control, automation, autonomy, and self-organization. We use future wireless networks as an example to illustrate the open questions and how they can be addressed by applying multidisciplinary knowledge. This paper can help researchers to use knowledge outside their own field and avoid repeating the work done already. The resulting consolidated view can speed up research and is especially important when the fundamental limits of nature are approached and new insights are required to overcome the challenges. The general, long-standing problem to be tackled is multiobjective optimization with autonomous and distributed decision-making in an uncertain, dynamic, and nonlinear environment where the objectives are mutually conflicting.
|Pages:||17464 - 17499|
|Type of Publication:||
A2 Review article in a scientific journal
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
The work reported in this paper was partially supported by the European H2020 Research and Innovation project COHERENT (GA No. H2020-ICT-671639). The work was also conducted in the framework of the self-funded Future Communications Growth Area project and the AFORM5 project of the VTT Technical Research Centre of Finland Ltd.
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