Izvorni znanstveni članak
https://doi.org/10.24138/jcomss.v14i2.406
Theory of Algorithm Suitability on Managing Radio Resources in Next Generation Mobile Networks
H. Fall
orcid.org/0000-0002-9394-3790
; Algebraic and Geometrical Analysis Laboratory at the Faculty of Sciences of the Ibn Tofail University
O. Zytoune
orcid.org/0000-0003-3089-9793
; National School of Applied Sciences (ENSA) at the Ibn Tofail University
M. Yahyai
; Faculty of Science at Ibn Tofail University
Sažetak
Beyond 2020, wireless networking model will be radically changed and oriented to business-driven concept as foreseen by the next generation mobile network (NGMN) alliance. As the available spectrum granted to a given operator is physically limited, new radio resource management techniques are required to ensure massive connectivity for wireless devices. Given this situation, we investigate in this paper how the key network functionalities as self-optimizing network (SON) must be thought to meet NGMN requirements. We propose therefore, algorithm suitability theory (AST) combined to the notion of network operator infrastructure convergence. The approach is based on software-defined networking (SDN) principle that allows an adaptability of the load balance algorithm to the dynamic network status. Besides, we use the concept of network function virtualization (NFV) that alleviates the constraint of confining the wireless devices to their home network operator only. Relying on these two technologies, we build AST through a lexicographic optimality criterion based on SPC (Status, Performance, and Complexity) order. Numerical results demonstrate a better network coverage verified by the improvement of metrics such as call blocking rate, spectrum efficiency, energy efficiency and load balance index.
Ključne riječi
Network function virtualization; Software-defined networking; Lexicographic optimality; Self-Organized networking; Radio Resource Distribution
Hrčak ID:
203077
URI
Datum izdavanja:
5.6.2018.
Posjeta: 699 *