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Multi-cell massive MIMO network optimization towards power consumption in suburban scenarios

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Abstract
In this paper, we propose a simulation-based method to design low power multi-cell multi-user massive MIMO network by optimizing the positions of the base stations. Two realistic outdoor suburban areas have been considered in Ghent, Belgium (Europe) and Kinshasa, the Democratic Republic of Congo (Africa), in which the power consumption, the energy efficiency, the network capacity and the multiplexing gain are investigated and compared with LTE networks. The results of the simulations demonstrated that massive MIMO networks provide better performance in the crowded scenario where user's mobility is relatively low. A massive MIMO BS consumes 5-8 times less power than the LTE networks, with a pilot reuse pattern of 3 that helps obtaining a good tradeoff between the higher bit rate requested and the low power requirements in cellular environment.

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Please use this url to cite or link to this publication:

Chicago
Matalatala Tamasala, Michel, Margot Deruyck, Emmeric Tanghe, Sotirios Goudos, Luc Martens, and Wout Joseph. 2018. “Multi-cell Massive MIMO Network Optimization Towards Power Consumption in Suburban Scenarios.” In 2018 GLOBAL INFORMATION INFRASTRUCTURE AND NETWORKING SYMPOSIUM (GIIS). Oct 23-25, 2018.
APA
Matalatala Tamasala, M., Deruyck, M., Tanghe, E., Goudos, S., Martens, L., & Joseph, W. (2018). Multi-cell massive MIMO network optimization towards power consumption in suburban scenarios. 2018 GLOBAL INFORMATION INFRASTRUCTURE AND NETWORKING SYMPOSIUM (GIIS). Presented at the Global Information Infrastructure and Networking Symposium (GIIS 2018), Oct 23-25, 2018.
Vancouver
1.
Matalatala Tamasala M, Deruyck M, Tanghe E, Goudos S, Martens L, Joseph W. Multi-cell massive MIMO network optimization towards power consumption in suburban scenarios. 2018 GLOBAL INFORMATION INFRASTRUCTURE AND NETWORKING SYMPOSIUM (GIIS). Oct 23-25, 2018; 2018.
MLA
Matalatala Tamasala, Michel et al. “Multi-cell Massive MIMO Network Optimization Towards Power Consumption in Suburban Scenarios.” 2018 GLOBAL INFORMATION INFRASTRUCTURE AND NETWORKING SYMPOSIUM (GIIS). Oct 23-25, 2018, 2018. Print.
@inproceedings{8611944,
  abstract     = {In this paper, we propose a simulation-based method to design low power multi-cell multi-user massive MIMO network by optimizing the positions of the base stations. Two realistic outdoor suburban areas have been considered in Ghent, Belgium (Europe) and Kinshasa, the Democratic Republic of Congo (Africa), in which the power consumption, the energy efficiency, the network capacity and the multiplexing gain are investigated and compared with LTE networks. The results of the simulations demonstrated that massive MIMO networks provide better performance in the crowded scenario where user's mobility is relatively low. A massive MIMO BS consumes 5-8 times less power than the LTE networks, with a pilot reuse pattern of 3 that helps obtaining a good tradeoff between the higher bit rate requested and the low power requirements in cellular environment.},
  author       = {Matalatala Tamasala, Michel and Deruyck, Margot and Tanghe, Emmeric and Goudos, Sotirios and Martens, Luc and Joseph, Wout},
  booktitle    = {2018 GLOBAL INFORMATION INFRASTRUCTURE AND NETWORKING SYMPOSIUM (GIIS)},
  isbn         = {9781538672723},
  issn         = {2150-329X},
  language     = {eng},
  location     = {Thessaloniki, Greece},
  pages        = {4},
  title        = {Multi-cell massive MIMO network optimization towards power consumption in suburban scenarios},
  url          = {http://dx.doi.org/10.1109/GIIS.2018.8635742},
  year         = {2018},
}

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