Abstract: Various embodiments provide for systems and methods of backhaul optimization. An exemplary system comprises a plurality of low power cells and a connector node. The connector node may be in communication with the plurality of low power cells. The connector node may be configured to receive demands from each of the plurality of low power cells. Each of the demands may indicate a demand at a predetermined time. The connector node may be further configured to determine a rate for each of the plurality of low power cells based on the demands of each of the low power cells and the assigned rate of the other of the plurality of low power cells. The connector node may be further configured to allocate capacity based on the determined rates.

Abstract: Described herein are systems and methods of diabetes management and prediabetes prevention. The method includes rendering a graphical user interface including a first plurality of hexagonal tiles arranged in a honeycomb pattern, the first plurality of hexagonal tiles together displaying tracked data for a plurality of datatypes; receiving a tracked data input for a first datatype; adding the input data to a new or an existing hexagonal tile representing a tracked data point of the first datatype; dynamically rearranging the first'plurality of hexagonal tiles to maintain a time-ordered sequence of tracked data; receiving a user selection of a tile of a second datatype; and displaying a plurality of icons representing selectable user options corresponding to the user-selected tile. In some embodiments, the system tracks a glucose level, an administered medication value, a pedometer step count, and a food consumption input.

Abstract: Various embodiments provide for systems and methods of backhaul optimization. An exemplary system comprises a plurality of low power cells and a connector node. The connector node may be in communication with the plurality of low power cells. The connector node may be configured to receive demands from each of the plurality of low power cells. Each of the demands may indicate a demand at a predetermined time. The connector node may be further configured to determine a rate for each of the plurality of low power cells based on the demands of each of the low power cells and the assigned rate of the other of the plurality of low power cells. The connector node may be further configured to allocate capacity based on the determined rates.

Abstract: Various embodiments provide for systems and methods of backhaul optimization. An exemplary system comprises a plurality of low power cells and a connector node. The connector node may be in communication with the plurality of low power cells. The connector node may be configured to receive demands from each of the plurality of low power cells. Each of the demands may indicate a demand at a predetermined time. The connector node may be further configured to determine a rate for each of the plurality of low power cells based on the demands of each of the low power cells and the assigned rate of the other of the plurality of low power cells. The connector node may be further configured to allocate capacity based on the determined rates.

Abstract: Various embodiments provide for systems and methods of backhaul optimization. An exemplary system comprises a plurality of low power cells and a connector node. The connector node may be in communication with the plurality of low power cells. The connector node may be configured to receive demands from each of the plurality of low power cells. Each of the demands may indicate a demand at a predetermined time. The connector node may be further configured to determine a rate for each of the plurality of low power cells based on the demands of each of the low power cells and the assigned rate of the other of the plurality of low power cells. The connector node may be further configured to allocate capacity based on the determined rates.

Abstract: Various embodiments provide for systems and methods of backhaul optimization. An exemplary system comprises a plurality of low power cells and a connector node. The connector node may be in communication with the plurality of low power cells. The connector node may be configured to receive demands from each of the plurality of low power cells. Each of the demands may indicate a demand at a predetermined time. The connector node may be further configured to determine a rate for each of the plurality of low power cells based on the demands of each of the low power cells and the assigned rate of the other of the plurality of low power cells. The connector node may be further configured to allocate capacity based on the determined rates.

Abstract: Various embodiments provide for systems and methods of backhaul optimization. An exemplary system comprises a plurality of low power cells and a connector node. The connector node may be in communication with the plurality of low power cells. The connector node may be configured to receive demands from each of the plurality of low power cells. Each of the demands may indicate a demand at a predetermined time. The connector node may be further configured to determine a rate for each of the plurality of low power cells based on the demands of each of the low power cells and the assigned rate of the other of the plurality of low power cells. The connector node may be further configured to allocate capacity based on the determined rates.