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Stochastic geometry model to analyze 5G energy efficiency based on a novel dynamic spectrum access scheme
Author(s) -
Bohli Afef,
Bouallegue Ridha
Publication year - 2016
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.3127
Subject(s) - stochastic geometry , computer science , spectral efficiency , macro , interference (communication) , spectrum management , throughput , cognitive radio , heterogeneous network , distributed computing , scheme (mathematics) , channel (broadcasting) , cellular network , efficient energy use , computer network , telecommunications , wireless , mathematics , wireless network , engineering , statistics , mathematical analysis , electrical engineering , programming language
The communication network has to undergo a significant change to be able to keep up with the exponential demand for mobile data. The next 5G mobile generation, based essentially on the heterogeneous network architecture—a macro tier overlayed with unplanned small cell tiers—is defined as a promising solution to meet those needs. Despite the considerable increase in data rates through the small cell concept and the shared spectrum access, the most crucial challenge is the interference management issue. To overcome this limitation and establish an economical and ecological design, the need for new spectrum management concepts is triggered. Unlike the classical cell association scheme, which requires cell tier cooperations, the contribution of this paper is to conceive an efficient cell association scheme in a non coordination 5G heterogeneous network architecture, based on a novel dynamic spectrum access (DSA) approach. The suggested DSA is based on the dynamic common cognitive monitor channel—with a cognitive monitor strategy using the maximum holding time distribution—and the highest signal‐to‐interference‐plus‐noise ratio–based cell association. The coverage probability and the throughput for a typical user in a two‐tier heterogeneous network (macro and small cell tiers) as well as the analytical expression of the energy efficiency are derived and analyzed using a stochastic geometry system model. The performance of the suggested DSA scheme is quantified and highlighted through detailed simulations and numerical results.