Qos-aware Antenna Grouping and Cross-layer Scheduling for mmWave Massive MU-MIMO

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Authors Carlos Bocanegra, Santiago Rodrigo, Zhengnan Li, Albert Cabellos, Eduard Alarcon, Kaushik R. Chowdhury
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Paper Abstract The proliferation of bandwidth-hungry applicationsand the push towards network densification is saturatingthe sub-6GHz bands, resulting in increased interest inthe mmWave band. Given the unique communicationcharacteristics of this band, i.e. requirement of line of sight,asymmetric antenna configurations at the transmitter/receiver,densification of users, and short propagation distance, twokey downlink capabilities become important directionalbeamforming and concurrent transmissions through Multi-UserMIMO (MU-MIMO) operation. We present an algorithmicframework that optimally allocates BS antenna elements tousers while considering individual traffic demands. This allowsnon-uniform antenna distributions per user, but also grouping ofantennas of the transmitter array into non-regular geometriesto meet individual QoS. Our approach achieves this by (i)improving the performance of classical LCMV beamformingthrough a genetic algorithm, and (ii) scheduling users in timeto minimize disruption. The performance is validated usingreal Internet applications traces and a cross-layer simulationframework spanning PHY-application layers in the band. Ourapproach shows an SINR improvement of 2-5dB and 10-20dBfor scattered and compact user locations, respectively, comparedto conventional LCMV. Finally, the network stress tests revealthat a joint scheduling and PHY keeps the number of packetsthat violate the QoS demands at a minimum.
Date of publication 2019
Code Programming Language MATLAB

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