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• W2964208519 abstract "This work aims to design a cellular network for maximal energy efficiency (EE). In particular, we consider the uplink with multi-antenna base stations and assume that zero- forcing (ZF) combining is used for data detection with imperfect channel state information. Using stochastic geometry and a new lower bound on the average per-user spectral efficiency of the network, we optimize the pilot reuse factor, number of antennas and users per base station. Closed- form expressions are computed from which valuable insights into the interplay between the optimization variables, hardware characteristics, and propagation environment are obtained. Numerical results are used to validate the analysis and make comparisons with a network using maximum ratio (MR) combining. The results show that a Massive MIMO setup arises as the EE-optimal network configuration. In addition, ZF provides higher EE than MR while allowing a smaller pilot reuse factor and a more dense network deployment." @default.
• W2964208519 created "2019-07-30" @default.
• W2964208519 creator A5018538891 @default.
• W2964208519 creator A5019709725 @default.
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• W2964208519 date "2017-12-01" @default.
• W2964208519 modified "2023-09-25" @default.
• W2964208519 title "Network Deployment for Maximal Energy Efficiency in Uplink with Zero-Forcing" @default.
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• W2964208519 doi "https://doi.org/10.1109/glocom.2017.8254572" @default.
• W2964208519 hasPublicationYear "2017" @default.
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