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035 _a(RuTPU)RU\TPU\network\29940
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100 _a20190704a2018 k y0engy50 ba
101 0 _aeng
102 _aNL
135 _adrcn ---uucaa
181 0 _ai
182 0 _ab
200 1 _aDownlink capacity of OFDMA-CR based 5G femtocell networks
_fGh. Joydev, D. N. K. Dzhayakodi Arachshiladzh, M. Qaraqe
203 _aText
_celectronic
320 _a[References: 20 tit.]
330 _aThis research work explores small cell densification as a key technique for next generation wireless network (NGWN). Small cell densification comprises space (i.e, dense deployment of femtocells) and spectrum (i.e., utilization of frequency band at large). The usage of femtocells not only improves the spectral efficiency (SE) of the Heterogeneous two-tier networks against conventional approach, but also it alleviates outage probability and enhances the achievable capacity. We yield an analytical framework to establish the density of the femto base station (FBS) to a monotonically increasing or decreasing function of distance or radius, respectively. This ensures the enhanced performance in spectrum sharing Orthogonal Frequency Division Multiple Access (OFDMA) femtocell network models. We also illustrate the influence of active Femto users (i.e., users in femtocells, and they are usually low mobility and located closer to the cell center with less fading), cluster size (i.e., a group of adjacent macrocells which use all of the systems frequency assignments) via simulation results.
333 _aРежим доступа: по договору с организацией-держателем ресурса
461 _tPhysical Communication
463 _tVol. 29
_v[P. 329-335]
_d2018
610 1 _aтруды учёных ТПУ
610 1 _aэлектронный ресурс
610 1 _amacrocell
610 1 _afemtocell
610 1 _aOrthogonal Frequency Division Multiple Access (OFDMA)
610 1 _acognitive radio (CR) technology
610 1 _adownlink (DL) capacity
700 1 _aJoydev
_bGh.
_gGhosh
701 1 _aDzhayakodi Arachshiladzh
_bD. N. K.
_cspecialist in the field of electronics
_cProfessor of Tomsk Polytechnic University
_f1983-
_gDushanta Nalin Kumara
_2stltpush
_3(RuTPU)RU\TPU\pers\37962
701 1 _aQaraqe
_bM.
_gMarwa
712 0 2 _aНациональный исследовательский Томский политехнический университет (ТПУ)
_bИнститут кибернетики (ИК)
_bКафедра программной инженерии (ПИ)
_h7751
_2stltpush
_3(RuTPU)RU\TPU\col\22918
801 2 _aRU
_b63413507
_c20190704
_gRCR
856 4 0 _uhttps://doi.org/10.1016/j.phycom.2018.04.016
942 _cCF