Abstract
By combining massive multiple-input and multiple-output (Ma-MIMO) and small-cell approaches, it is possible to improve the capacity of the network, with the features like energy efficiency and high coverage. Ma-MIMO helps in advancing the wireless communication, to incorporate it in the wireless broadband standards such as Wi-Fi and LTE. The use of Ma-MIMO is expected to increase the spectral efficiency for the mobile networks. In this paper, these two different technologies are incorporated for improving the 5G wireless communication. The concern of the whole paper is to satisfy the user with high quality of service. The effective technologies like Ma-MIMO and small cell are analyzed by employing beamforming and power allocation while operated in full-duplex transmission mode. The simulation is conducted to prove the optimal as well as low-complexity beamforming and power allocation, which is required for improving the total power consumption.
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Hosseini K, Hoydis J, Ten Brink S, Debbah M (2013) Massive MIMO and small cells: how to densify heterogeneous networks. In: 2013 IEEE International Conference on Communications (ICC), 9 June, pp 5442–5447
Jafari AH, Lopez-Perez D, Song H, Claussen H, Ho L, Zhang J (2015) Small cell backhaul: challenges and prospective solutions. EURASIP J Wirel Commun Netw 2015(1):206
Li X, Bjornson E, Zhou S, Wang J (2016) Massive MIMO with multi-antenna users: when are additional user antennas beneficial? In: 23rd IEEE International Conference on Telecommunications (ICT), 19 May 2016, pp 1–6
Gao Z, Dai L, Wang Z (2016) Channel estimation for mmwave massive MIMO based access and backhaul in ultra-dense network. In: Proceedings of International Conference on IEEE International Conference on Communications (ICC), 22 May, pp 1–6
Orainy Al, Abdullah A (2016) Wireless backhauling for 5G small cell networks. World Acad Sci Eng Technol Int J Electr Comput Energ Electron Commun Eng 10(2):267–70
Hur S, Kim T, Love DJ, Krogmeier JV, Thomas TA, Ghosh A (2013) Millimeter wave beamforming for wireless backhaul and access in small cell networks. IEEE Trans Commun 61(10):4391–403
Li C, Zhang J, Letaief KB (2014) Throughput and energy efficiency analysis of small cell networks with multi-antenna base stations. IEEE Trans Wirel Commun 13(5):2505–17
Bjornson E, Kountouris M, Debbah M (2013) Massive MIMO and small cells: Improving energy efficiency by optimal soft-cell coordination. In: 20th IEEE International Conference on Telecommunications (ICT), 6 May 2013, pp 1–5
Partibane B, Nagarajan V, Vishvaksenan KS, Kalidoss R (2015) Performance of multi-user transmitter pre-processing assisted multi-cell IDMA system for downlink transmission. Fluct Noise Lett 14(3):1550030
Lagunas E, Lei L, Maleki S, Chatzinotas S, Ottersten B (2017) Power allocation for in-band full-duplex self-backhauling. In: Telecommunications and Signal Processing (TSP), 2017 40th International Conference on. IEEE, pp. 136–139
Karthipan R, Vishvaksenan KS, Kalidoss R, Sureshbabu R (2016) Uplink capacity enhancement in IEEE 802.22 using modified duplex approach. Wirel Pers Commun 86(2):635–656
Nguyen D, Tran L-N, Pirinen P, Latva-aho M (2014) On the spectral efficiency of full-duplex small cell wireless systems. IEEE Trans Wirel Commun 13:9
Kalidoss R, Bhagyaveni MA, Vishvaksenan KS (2014) A location based duplex scheme for cost effective rural broadband connectivity using IEEE 802.22 cognitive radio based wireless regional area networks. Fluct Noise Lett 13(4):1450028
Sultan R, Song L, Han Z (2014) Impact of full duplex on resource allocation for small cell networks. In: 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp 1257–1261
Korpi D, Riihonen T, Valkama M (2017) Inband full-duplex radio access system with self-backhauling: transmit power minimization under QoS requirements. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5 Mar, pp 6558–6562
Nguyen D, Tran LN, Pirinen P, Latva-aho M (2012) Transmission strategies for full duplex multiuser MIMO systems. In: IEEE International Conference on Communications (ICC), 10 Jun 2012, pp 6825–6829
Bjornson E, Larsson EG, Debbah M (2016) Massive MIMO for maximal spectral efficiency: how many users and pilots should be allocated? IEEE Trans Wirel Commun 15(2):1293–308
Sun C, Yang Y, Yuan Y (2012) Low complexity interference alignment algorithms for desired signal power maximization problem of MIMO channels. EURASIP J Adv Signal Process 1:137
Larsson EG, Edfors O, Tufvesson F, Marzetta TL (2014) Massive MIMO for next generation wireless systems. IEEE Commun Mag 52(2):186–95
Goyal S, Liu P, Panwar S (2017) Scheduling and power allocation in self-backhauled full duplex small cells. In: IEEE International Conference on Communications
Kela P, Costa M, Turkka J, Leppanen K, Natti R (2016) Flexible backhauling with massive MIMO for ultra-dense networks. IEEE Access 4:96259634
Gupta A, Jha RK (2017) Power optimization using massive MIMO and small cells approach in different deployment scenarios. Wirel Netw 23(3):959973
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Damodaran, S.P., Srinivasan, V.K. & Rajakani, K. Optimized and low-complexity power allocation and beamforming with full duplex in massive MIMO and small-cell networks. J Supercomput 75, 7979–7993 (2019). https://doi.org/10.1007/s11227-018-2400-z
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DOI: https://doi.org/10.1007/s11227-018-2400-z