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Integrated Access and Backhaul based 5G Connectivity for Rural Indian Sectors : Ending the Digital Divide

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Języki publikacji
EN
Abstrakty
EN
The world is heading towards deployment of 5G commercially by the year 2020. But providing broadband 5G connectivity to remote rural regions is a significant challenge. Fiber connectivity has attempted to penetrate rural regions but last mile connectivity is still a problem in many rural sectors due to improper land demarcation and hostile terrain. A scheme which is based on the Integrated Access and Backhaul (IAB) concept is proposed to provide last mile 5G connectivity to satisfy the broadband needs of rural subscribers. A wireless 5G downlink environment following 3GPP NR specifications with a significantly high throughput is simulated. The last mile link is provided through a 28GHz carrier from a proposed IAB node delivering a data throughput of 4.301 Gbps for single-user carrier aggregation and 5.733 Gbps for multi-user carrier aggregation which is quite promising for broadband service, like high-speed Internet and streaming video. The results presented in this work are observed to agree favourably with the results of other researchers in the field.
Rocznik
Strony
655--663
Opis fizyczny
Bibliogr. 19 poz., schem., tab., wykr.
Twórcy
  • Department of Electronics and Communication Engineering, Techno International New Town, Kolkata - 700156, India
autor
  • Department of Electronics and Communication Engineering, Calcutta Institute of Engineering and Management, Kolkata -700040, India
  • Department of Electronics Communication Engineering, Sikkim Manipal Institute of Technology, Sikkim, India
  • Department of Electronics and Telecommunication Engineering, IIEST Shibpur, Howrah, India
Bibliografia
  • [1] 3GPP TR 21.916V0.5.0(2020-07), Summary of Rel-16 Work Items
  • [2] Henrik Ronkainen, Jonas Edstam, Anders Ericsson, Christer Ostberg, ”Integrated access and backhaul – a new type of wireless backhaul in 5G”, Ericsson Technology Review June 23, 2020. ISSN 0014-0171 284 23-3346 — Uen.
  • [3] Biswas, A. S., Sil, S., Bera, R., and Mitra, M., ”5G Based Broadband Last Mile Connectivity for Rural Sectors”, International Conference on Emerging Technologies for Sustainable Development (ICETSD’19) Proceedings, GCELT Kolkata, 2019.
  • [4] Vidhya R. and Karthik P., ”Dynamic Carrier Aggregation in 5G network scenario,” 2015 International Conference on Computing and Network Communications (CoCoNet), Trivandrum, 2015, pp. 936-940, doi: 10.1109/CoCoNet.2015.7411303.
  • [5] M. Xu et al., ”Bidirectional fiber-wireless access technology for 5G mobile spectral aggregation and cell densification,” in IEEE/OSA Journal of Optical Communications and Networking, vol. 8, no. 12, pp. B104-B110, December 2016, doi: 10.1364/JOCN.8.00B104.
  • [6] E. Chavarria-Reyes, I. F. Akyildiz and E. Fadel, ”Energy-Efficient Multi-Stream Carrier Aggregation for Heterogeneous Networks in 5G Wireless Systems,” in IEEE Transactions on Wireless Communications, vol. 15, no. 11, pp. 7432-7443, Nov. 2016, doi: 10.1109/TWC.2016.2602336.
  • [7] P. D. Diamantoulakis, K. N. Pappi, S. Muhaidat, G. K. Karagiannidis and T. Khattab, ”Carrier Aggregation for Cooperative Cognitive Radio Networks,” in IEEE Transactions on Vehicular Technology, vol. 66, no. 7, pp. 5904-5918, July 2017, doi: 10.1109/TVT.2016.2635112.
  • [8] Z. Limani Fazliu, C. Chiasserini, G. M. Dell’Aera and E. Hamiti, ”Distributed Downlink Power Control for Dense Networks With Carrier Aggregation,” in IEEE Transactions on Wireless Communications, vol. 16, no. 11, pp. 7052-7065, Nov. 2017, doi: 10.1109/TWC.2017.2737998.
  • [9] T. Xu and I. Darwazeh, ”Transmission Experiment of Bandwidth Compressed Carrier Aggregation in a Realistic Fading Channel,” in IEEE Transactions on Vehicular Technology, vol. 66, no. 5, pp. 4087-4097, May 2017, doi: 10.1109/TVT.2016.2607523.
  • [10] J. Jia, Y. Deng, J. Chen, A. Aghvami and A. Nallanathan, ”Availability Analysis and Optimization in CoMP and CA-enabled HetNets,” in IEEE Transactions on Communications, vol. 65, no. 6, pp. 2438-2450, June 2017, doi: 10.1109/TCOMM.2017.2679747.
  • [11] R. M. Rao, V. Marojevic and J. H. Reed, ”Adaptive Pilot Patterns for CA-OFDM Systems in Nonstationary Wireless Channels,” in IEEE Transactions on Vehicular Technology, vol. 67, no. 2, pp. 1231-1244, Feb. 2018, doi: 10.1109/TVT.2017.2751548.
  • [12] R. Khdhir, B. Cousin, K. Mnif and K. Ben Ali, ”Neural network approach for component carrier selection in 4G/5G networks,” 2018 Fifth International Conference on Software Defined Systems (SDS), Barcelona, 2018, pp. 112-117, doi: 10.1109/SDS.2018.8370431.
  • [13] K. Tateishi et al., ”Field experiments on 5G radio access using 15- GHz band in outdoor small cell environment,” 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Hong Kong, 2015, pp. 851-855, doi: 10.1109/PIMRC.2015.7343416.
  • [14] Z. Shi and Y. Wang, ”Joint DFT-s-OFDM scheme for non-contiguous carriers transmission,” 2017 IEEE/CIC International Conference on Communications in China (ICCC), Qingdao, 2017, pp. 1-6, doi: 10.1109/ICCChina.2017.8330481.
  • [15] M. Bi, W. Jia, L. Li, X. Miao and W. Hu, ”Investigation of F-OFDM in 5G fronthaul networks for seamless carrier-aggregation and asynchronous transmission,” 2017 Optical Fiber Communications Conference and Exhibition (OFC), Los Angeles, CA, 2017, pp. 1-3.
  • [16] S. Rostami, K. Arshad and P. Rapajic, ”A joint resource allocation and link adaptation algorithm with carrier aggregation for 5G LTE-Advanced network,” 2015 22nd International Conference on Telecommunications (ICT), Sydney, NSW, 2015, pp. 102-106, doi: 10.1109/ICT.2015.7124665.
  • [17] 3GPP TS 38.211 version 15.3.0 Release 15, 2018-10, Physical channels and modulation.
  • [18] 3GPP TS 38.104 version 15.2.0 Release 15, 2018-07, Base Station (BS) radio transmission and reception.
  • [19] 3GPP TR 38.901 v15.0.0, 2018-06, Study on channel model for frequencies from 0.5 to 100 GHz.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9a73df52-7466-4263-a831-4ad2f4dced02
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