Energy-Efficient Resource Allocation in OFDMA Systems with Large Numbers of Base Station Antennas

By Derrick Wing Kwan Ng, Ernest S. Lo, Robert Schober. IEEE Transactions on Wireless Communications, 2012

457 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/182395db2bfc4ab72ef5404d9b2fb48b80687264

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Optimal Joint Power and Subcarrier Allocation for Full-Duplex Multicarrier Non-Orthogonal Multiple Access Systems (2016, background): “MULTICARRIER multiple access techniques have been widely adopted in broadband wireless communication systems over the last decade, due to the flexibility they offer for resource allocation and their ability to exploit multiuser diversity [2]–[6].”
Wireless Information and Power Transfer: Energy Efficiency Optimization in OFDMA Systems (2013, unknown): “Consequently, energyefficient mobile communication system design has become a prominent approach for addressing this issue in energy limited networks [1]–[7].”
Massive Access for 5G and Beyond (2020, background): “Moreover, it was shown that both the spectral and energy efficiencies can be improved significantly by using massive MIMO [99], [100].”
Prospective Multiple Antenna Technologies for Beyond 5G (2019, background): “In fact, it was shown in [139] that an exceedingly larger number of antennas is not the way to improve the energy efficiency (measured in bit/Joule) of future networks, as the total energy consumption increases linearly with respect to the numbers of RF chains required by the active components while”
A Comprehensive Overview on 5G-and-Beyond Networks With UAVs: From Communications to Sensing and Intelligence (2020, background): “drawn significant interest from both academia and industry [73], [74], [150], [188]–[190].”
Energy Efficiency in Wireless Networks via Fractional Programming Theory (2015, background): “Also, applications of fractional programming in systems with a large number of antennas are considered in [128, 80, 40, 25], thus showing that fractional optimization proves useful in massive and large MIMO systems, too.”
Fractional Programming for Communication Systems—Part I: Power Control and Beamforming (2018, methodology): “Moreover, [35] proposes a gradient method to maximize the nonconcave function fd in (68), and [36] advocates successive convex approximation.”