Business case evaluations for LTE network offloading with cognitive femtocells

Grønsund, Pål; Grøndalen, Ole; Lahteenoja, M.

doi:10.1016/j.telpol.2012.07.006

Cited by 15 publications

(14 citation statements)

References 12 publications

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“…In [21], the cognitive small cells were assumed to offload users from the congested macrocells and the authors explored stochastic geometry to investigate the load of each cells and the effects of different offloading techniques. Note that, different from this paper, all the works in [18][19][20][21] assumed that the secondary users are powered by constant energy sources.…”

Section: Related Workmentioning

confidence: 98%

“…Note that all the works in [12][13][14][15][16][17] on data traffic offloading did not consider CR and energy-harvesting capabilities for the target data traffic offloading networks. The works that considered data traffic offloading through CR networks include [18][19][20][21]. In [18], the authors proposed to deploy cognitive small cells to offload the data traffic from the long-term evolution (LTE) network.…”

Section: Related Workmentioning

confidence: 99%

“…The works that considered data traffic offloading through CR networks include [18][19][20][21]. In [18], the authors proposed to deploy cognitive small cells to offload the data traffic from the long-term evolution (LTE) network. In the work, the cognitive small cells were assumed to belong to the LTE network's operator.…”

Section: Related Workmentioning

confidence: 99%

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Offloading data traffic via cognitive small cells with wireless powered user equipments

2017

J Wireless Com Network

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This paper investigates data traffic offloading by considering a third-party cognitive small cell with wireless powered user equipments (UEs) providing data traffic offloading service to a primary macrocell. The cognitive small cell is assumed to use remaining resources for its own purpose provided that the quality of service (QoS) of the primary macrocell is satisfied. It is assumed that the small cell UEs (SUEs) are wirelessly powered and can harvest energy from the RF signals transmitted by the macrocell UEs (MUEs) as well as the RF signals transmitted by the small cell BS (SBS). Under the assumption that the successive interference cancellation (SIC) decoder is available or not available at the SBS, iterative optimization-based data traffic offloading schemes are proposed to maximize the SUE sum rate provided that the required minimum MUE sum rate is satisfied. It is shown that the proposed data traffic offloading schemes are effective in improving the performance of the MUEs and providing transmission opportunities for the wireless powered SUEs.

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Section: Related Workmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

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Offloading data traffic via cognitive small cells with wireless powered user equipments

2017

J Wireless Com Network

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“…Analisis dimulai dengan mendeskripsikan pendorong evolusi kedepan jaringan 3G dan kasus bisnis teknologi 3G LTE yang diikuti dengan mendiskusikan prionsip model tekno-ekonomi. Pada akhirnya penelitian ini menganalisis tekno-ekonomi operator 3G LTE pada jaringan 3G yang dimilikinya P˚ al Grønsund, Ole Grøndalen dan Markku L¨ahteenoja (Grønsund, Grøndalen, & Lähteenoja, 2013) menganalisis aspek bisnis operator mobile yang menggunakan jaringan LTE dengan menerapkan cognitive femtocell. Penambahan sensor network cognitive femtocells akan memungkinkan dapat menggunakan frekuensi selain jaringan mobile, oleh karena itu perlu adanya peningkatan power untuk mengcover area outdoor dan gedung sebelahnya.…”

Section: Tinjauan Pustakaunclassified

Analisis Kelayakan Implementasi Teknologi LTE 1.8 GHz Bagi Operator Seluler di Indonesia

Ariyanti¹,

Perdana²

2015

BPOSTEL

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A B S T R A KKata kunci : LTE Analis Kelayakan 1,8 GHz Peningkatan kebutuhan layanan data mendorong operator telekomunikasi berusaha mengimplementasikan jaringan akses broadband yang lebih handal. Teknologi LTE merupakan salah satu teknologi dengan kecepatan mencapai tiga kali dibanding teknologi HSDPA, sehingga diharapkan dapat memenuhi kebutuhan pelanggan data mobile. Refarming frekuensi 1.8 GHz untuk penerapan teknologi LTE memberikan efisiensi karena tidak perlu membayar BHP lagi untuk menyewa frekuensi baru. Teknologi 2G GSM selama ini juga semakin ditinggalkan. Masyarakat di daerah perkotaan cenderung lebih banyak menggunakan layanan data. Sebelum diterapkannya teknologi LTE pada frekuensi 1.8 GHz perlu adanya kajian untuk mengetahui kelayakan teknologi LTE pada frekuensi 1.8 GHz. Penelitian ini bertujuan untuk melakukan cost-benefit analysis implementasi LTE pada frekuensi 1.8 GHz. Penelitian ini menggunakan pendekatan kualitataif yang didukung dengan data kuantitatif. Hasil penelitian menunjukkan bahwa minimal bandiwdth yang diperlukan agar implementasi LTE layak digunakan adalah 15 MHz. Meskipun tanpa Global Frequency Returning, penggunaan bandwidth 10 MHz tidak layak digunakan untuk implementasi LTE. PendahuluanPola kebutuhan berkomunikasi saat ini dapat dipenuhi dengan sumber informasi yang tidak terbatas melalui internet dan juga mobilitas komunikasi dimana saja melalui teknologi komunikasi nirkabel yang disebut dengan istilah mobile broadband. Namun seiring dengan perkembangan tersebut, pengalaman dan kepuasan pengguna jasa telekomunikasi masih belum terpenuhi sesuai dengan yang diharapkan dikarenakan kecepatan dan layanan yang ada masih terbatas. Disamping itu, jumlah pengguna layanan mobile data semakin meningkat sejak diluncurkannya teknologi 3G. Hal tersebut menjadi tantangan bagi operator untuk selalu dapat memenuhi harapan para pelanggan agar penyelenggaraan bisnis dapat terus berlangsung. Dengan demikian, para operator telekomunikasi berusaha mengimplementasikan jaringan akses broadband yang lebih handal sehingga mampu mengimbangi permintaan dan kebutuhan pelanggan.

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“…Offloading has also been examined from a business standpoint (GrøNsund, 2012) as well. This paper compares traditional femtocell offloading with sensor network aided offloading.…”

Section: Cellular Traffic Offloading Schemes and Business Analysismentioning

confidence: 99%

Can Unlicensed Bands Be Used by Unlicensed Usage?

Liu

Weiss

2013

SSRN Journal

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Business case evaluations for LTE network offloading with cognitive femtocells

Cited by 15 publications

References 12 publications

Offloading data traffic via cognitive small cells with wireless powered user equipments

Offloading data traffic via cognitive small cells with wireless powered user equipments

Analisis Kelayakan Implementasi Teknologi LTE 1.8 GHz Bagi Operator Seluler di Indonesia

Can Unlicensed Bands Be Used by Unlicensed Usage?

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