000 | 02874nlm1a2200409 4500 | ||
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001 | 660490 | ||
005 | 20231030041711.0 | ||
035 | _a(RuTPU)RU\TPU\network\29940 | ||
035 | _aRU\TPU\network\21699 | ||
090 | _a660490 | ||
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 |
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203 |
_aText _celectronic |
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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 |
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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 |
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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 |
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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 |