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5G connectivity has become essential to integrate rural communities into thebroader digital economy and support critical applications like remote educationand remote surgery. A major hindrance to expanding rural broadband coverage,especially in developing countries, is the high cost of installing 5G basestations. Hence, there is a need to reduce the cost of a 5G base stationwithout degrading its performance. Our work proposes a novel approach toefficiently utilize the polar code encoders in a 5G base station. The idea isto use the idle time of the polar encoders during downlink transmission forerror correction in the 5G data plane. Polar codes have conventionally beenused in the 5G control plane, while LDPC codes are used in the data plane. Weperform detailed characterization experiments to show the advantages of usingpolar codes in the data plane as well. Further, to intelligently distribute theuser data packets among the available compute nodes, we propose a set of novelresource allocation algorithms and compare their performance with otheralgorithms in the literature. Using our proposed optimization techniques, weachieve a 17% reduction in the cost of a 5G base station. Simultaneously, weare able to improve the performance by 24% compared to a conventional basestation.

Efficiently Using Polar Codes in 5G Base Stations to Enhance Rural Connectivity