Relevant bibliographies by topics / Multicell multiuser MISO

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Multicell multiuser MISO'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Multicell multiuser MISO"

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Zhang, Cheng, Yindi Jing, Yongming Huang, and Luxi Yang. "Performance Scaling Law for Multicell Multiuser Massive MIMO." IEEE Transactions on Vehicular Technology 66, no. 11 (2017): 9890–903. http://dx.doi.org/10.1109/tvt.2017.2731820.

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Pham, Khanh, and Kyungchun Lee. "Interference Alignment for Multicell Multiuser MIMO Uplink Channels." IEEE Transactions on Vehicular Technology 65, no. 7 (2016): 5146–59. http://dx.doi.org/10.1109/tvt.2015.2459381.

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Li, Jialing, I.-Tai Lu, and Enoch Lu. "Robust MMSE Transceiver Designs for Downlink MIMO Systems with Multicell Cooperation." International Journal of Digital Multimedia Broadcasting 2010 (2010): 1–19. http://dx.doi.org/10.1155/2010/815704.

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Therobust-generalized iterative approach(Robust-GIA),robust-fast iterative approach(Robust-FIA), androbust-decoder covariance optimization approach(Robust-DCOA) are proposed for designing MMSE transceivers of downlink multicell multiuser MIMO systems with per-cell and per-antenna power constraints and possibly imperfect channel state information. TheRobust-DCOAis the most restrictive but is always optimum, theRobust-GIAis the most general, and theRobust-FIAis the most efficient. When theRobust-DCOAis applicable and the decoder covariance matrices are full rank, the three proposed approaches ar
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Akbar, Noman, Shihao Yan, Nan Yang, and Jinhong Yuan. "Location-Aware Pilot Allocation in Multicell Multiuser Massive MIMO Networks." IEEE Transactions on Vehicular Technology 67, no. 8 (2018): 7774–78. http://dx.doi.org/10.1109/tvt.2018.2831224.

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Pham, Khanh, and Kyungchun Lee. "Non-cooperative interference alignment for multicell multiuser MIMO uplink channels." IET Communications 11, no. 5 (2017): 648–54. http://dx.doi.org/10.1049/iet-com.2016.1032.

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Özbek, Berna, Oğulcan Erdoğan, Sherif A. Busari, and Jonathan Gonzalez. "Hybrid beamforming strategies for secure multicell multiuser mmWave MIMO communications." Physical Communication 46 (June 2021): 101319. http://dx.doi.org/10.1016/j.phycom.2021.101319.

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Choi, Jinho. "Multiuser Precoding With Limited Cooperation for Large-Scale MIMO Multicell Downlink." IEEE Transactions on Wireless Communications 14, no. 3 (2015): 1295–308. http://dx.doi.org/10.1109/twc.2014.2365786.

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Matalatala, Michel, Margot Deruyck, Emmeric Tanghe, Luc Martens, and Wout Joseph. "Optimal Low-Power Design of a Multicell Multiuser Massive MIMO System at 3.7 GHz for 5G Wireless Networks." Wireless Communications and Mobile Computing 2018 (October 23, 2018): 1–17. http://dx.doi.org/10.1155/2018/9796784.

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Massive MIMO techniques are expected to deliver significant performance gains for the future wireless communication networks by improving the spectral and the energy efficiencies. In this paper, we propose a method to optimize the positions, the coverage, and the energy consumption of the massive MIMO base stations within a suburban area in Ghent, Belgium, while meeting the low power requirements. The results reveal that massive MIMO provides better performances for the crowded scenario where users’ mobility is limited. With 256 antennas, a massive MIMO base station can simultaneously multiple
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Nguyen, Duy H. N., Hung Nguyen-Le, and Tho Le-Ngoc. "Block-Diagonalization Precoding in a Multiuser Multicell MIMO System: Competition and Coordination." IEEE Transactions on Wireless Communications 13, no. 2 (2014): 968–81. http://dx.doi.org/10.1109/twc.2013.010214.130724.

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Peng Xu, Jiangzhou Wang, Jinkuan Wang, and Feng Qi. "Analysis and Design of Channel Estimation in Multicell Multiuser MIMO OFDM Systems." IEEE Transactions on Vehicular Technology 64, no. 2 (2015): 610–20. http://dx.doi.org/10.1109/tvt.2014.2322654.

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Dissertations / Theses on the topic "Multicell multiuser MISO"

1

Xu, Xinyi. "Digital optical fibre aided virtual MIMO systems in multicell multiuser networks." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/354328/.

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Advanced communication networks are conceived by amalgamating the techniques of distributed antennas (DAS) and fractional frequency reuse (FFR), where the cell-edge areaadditionally relies on FFR for the sake of reducing the co-channel interference (CCI). Since DASs rely on the availability of a backhaul, we consider a realistic - rather than perfect- optical fibre backhaul and develop a model for a composite optical fibre and wireless channel, which is capable of representing the effects of the fibre induced imperfections imposed on the attainable throughput and the BER performance of the ent
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Ngo, Hien Quoc, Michail Matthaiou, Trung Q. Duong, and Erik G. Larsson. "Uplink Performance Analysis of Multicell MU-SIMO Systems with ZF Receivers." Linköpings universitet, Kommunikationssystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-92849.

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We consider the uplink of a multicell multiuser single-input multiple-output system where the channel experiences both small and large-scale fading. The data detection is done by using the linear zero-forcing technique, assuming the base station (BS) has perfect channel state information of all users in its cell. We derive  new, exact analytical expressions for the uplink rate, symbol error rate, and outage probability per user, as well as alower bound on the achievable rate. This bound is very tight and becomes exact in the large-number-of-antennas limit. We further study the asymptotic syste
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Nguyen, K. G. (Kien-Giang). "Energy-efficient transmission strategies for multiantenna systems." Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526222677.

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Abstract The rapid evolution of wireless networks to meet the requirements of explosive data traffic demand is escalating energy consumption beyond sustainable limits. Consequently, energy efficiency (EE) has emerged as a key performance indicator for future wireless networks to address the increasing concern over greenhouse gas emissions and sustainable economic growth. This thesis studies energy-efficient transmission strategies for multiantenna wireless systems. The aim is to develop linear beamforming techniques maximizing the bit-per-Joule EE metric, focusing on three appealing scenarios:
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Hsieh, Po-Ya, and 謝柏雅. "Multi-objective Power Minimization Design for the Multicell Multiuser MIMO Beamforming System." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/mmh6s3.

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Azzam, Imad. "Precoding for Multiuser MIMO Systems with Multiple Base Stations." Thesis, 2008. http://hdl.handle.net/1807/17151.

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Future cellular networks are expected to support extremely high data rates and user capacities. This thesis investigates the downlink of a wireless cellular system that takes advantage of multiple antennas at base stations and mobile stations, frequency reuse across all cells, and cooperation among base stations. We identify asynchronous interference resulting from multi-cell communication as a key challenge, prove the existence of a downlink/uplink duality in that case, and present a linear precoding scheme that exploits this duality. Since this result is not directly extendable to orthogonal
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Dahrouj, Hayssam. "Coordinated Beamforming and Common Message Decoding for Intercell Interference Mitigation in Multicell Networks." Thesis, 2010. http://hdl.handle.net/1807/26162.

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Conventional multicell wireless systems operate with out-of-cell interference treated as background noise; consequently, their performance faces two major limitations: 1)Signal processing is performed on a per-cell basis; and 2)Intercell interference detection is infeasible as intercell interference, although significantly above the noise level, is typically quite weak. In this thesis, we consider a multicell downlink scenario, where base-stations are equipped with multiple transmit antennas, the remote users are equipped with a single antenna, and multiple remote users are active simultaneous
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Book chapters on the topic "Multicell multiuser MISO"

1

Nguyen, Duy H. N., and Tho Le-Ngoc. "Block-Diagonalization Precoding in Multiuser Multicell MIMO Systems." In Wireless Coordinated Multicell Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06337-9_5.

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Bai, Lin, Jinho Choi, and Quan Yu. "Multiuser and Multicell MIMO Systems: The Use of Lattice Reduction." In Low Complexity MIMO Receivers. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04984-7_10.

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Conference papers on the topic "Multicell multiuser MISO"

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Rui, Zhang, and Song Rongfang. "Adaptive feedback scheme on multicell multiuser MISO system." In Signal Processing (WCSP 2011). IEEE, 2011. http://dx.doi.org/10.1109/wcsp.2011.6096943.

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Fozi, Mahdi, Babak Hossein Khalaj, and Marius Pesavento. "Differentially encoded blind multicell multiuser massive MIMO." In 2015 ICC - 2015 IEEE International Conference on Communications Workshops (ICC). IEEE, 2015. http://dx.doi.org/10.1109/iccw.2015.7247316.

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Ghamnia, Imene, Dirk Slock, and Yi Yuan-Wu. "Rate Balancing for Multiuser Multicell Downlink MIMO Systems." In 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 2019. http://dx.doi.org/10.23919/eusipco.2019.8902749.

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Yin, Wenran, Lihua Li, Xingwang Li, Zhi Wang, and Ling Xie. "Downlink Performance Analysis of Multicell Multiuser 3D MIMO System." In 2015 IEEE 82nd Vehicular Technology Conference (VTC Fall). IEEE, 2015. http://dx.doi.org/10.1109/vtcfall.2015.7390900.

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Thallapalli, Soujanya, and Rajoo Pandey. "Performance Evaluation of Channel Estimation in Multicell Multiuser Massive MIMO Systems." In 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN). IEEE, 2019. http://dx.doi.org/10.1109/vitecon.2019.8899677.

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Yue, Ziqi, Qing Guo, and Wei Xiang. "Complex Gaussian belief propagation algorithms for distributed multicell multiuser MIMO detection." In GLOBECOM 2014 - 2014 IEEE Global Communications Conference. IEEE, 2014. http://dx.doi.org/10.1109/glocom.2014.7037421.

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Ardah, Khaled, Yuri Silva, and Francisco Cavalcanti. "Block Diagonalization For Multicell Multiuser MIMO Systems with Other-Cell Interference." In XXXIV Simpósio Brasileiro de Telecomunicações. Sociedade Brasileira de Telecomunicações, 2016. http://dx.doi.org/10.14209/sbrt.2016.20.

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Kim, Kyong-Hoe, Jong-Ho Lee, Chang-Hoon Lee, Nam-Ryul Jeon, and Seong-Cheol Kim. "Coordinated Beamforming with Limited BS Cooperation for Multicell Multiuser MIMO Broadcast Channel." In 2009 IEEE 69th Vehicular Technology Conference Spring. IEEE, 2009. http://dx.doi.org/10.1109/vetecs.2009.5073473.

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Lee, B. O., O. S. Shin, and K. B. Lee. "Uplink User Selection Scheme for Multiuser MIMO Systems in a Multicell Environment." In ICC 2010 - 2010 IEEE International Conference on Communications. IEEE, 2010. http://dx.doi.org/10.1109/icc.2010.5502297.

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Sousa, Lígia Maria Carvalho, and Charles Casimiro Cavalcante. "Performance Analysis of Multicell Multiuser MIMO Precoding Using Partial Knowledge at the Transmitter." In XXVII Simpósio Brasileiro de Telecomunicações. Sociedade Brasileira de Telecomunicações, 2009. http://dx.doi.org/10.14209/sbrt.2009.57966.

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You might also be interested in the extended bibliographies on the topic 'Multicell multiuser MISO' for particular source types:
Journal articles
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