2018 · 12 citations · 7 references
Channel ModelingMimo SystemMillimeter Wave TechnologyEngineeringPower Allocation FrameworkMultiuser MimoAntennaMillimeter WaveComputer EngineeringSystems EngineeringMassive MimoMmwave ScenariosChannel EstimationDoas ContributionsBeamformingSignal ProcessingDistributed Antenna ArchitectureSum Capacity
Millimeter-Wave (mmWave) systems offer extremely large Band-Width (BW) and highly Line-of-Sight (LOS) dominant channels. Many beamforming and power allocation techniques have recently emerged to leverage such channel characteristics in order to enhance the sum capacity and the coverage for multi-user transmissions. However, most of the existing algorithms are practically limited due to full channel knowledge and high complexity requirements. In this paper we introduce a novel, low complexity, angular based beamforming and power allocation framework, that requires the knowledge of the main contributive Directions of Arrival/Departure (DoAs/DoDs) of the propagation channel only. Exploiting the fact that propagation conditions are highly driven by the geometrical structure of the channel in mmWave scenarios, our method relies on the estimation of the leakage caused by each User Equipment (UE) on all the other UEs, approximated from the DoAs contributions. We prove with the simulation results that this approach, in addition to be practically plausible, can enhance the network Spectral Efficiency (SE) alongside with maintaining acceptable data rates for the cell edge UEs.
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Massive MIMO for next generation wireless systems
Erik G. Larsson, Ove Edfors, Fredrik Tufvesson et al. · IEEE Communications Magazine · 2014 · 6.8K citations · Full text
Complexity reduced zero-forcing beamforming in massive MIMO systems
Chan-Sic Park, Yong-Suk Byun, Arnan Miesso Bokiye et al. · 2014 · 31 citations