METHOD AND SYSTEM FOR MULTIPLE CARRIER RESOURCE ALLOCATION IN LTE-ADVANCED NETWORKS

Patent №

US 9,854,475

Granted

2017-12-26

Filed 2016

Owner

LEIDOS, INC.

Lab

AI components

4

ml · kr · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15210142

A process for selecting an optimal individual user solution including an optimal rate allocation and associated price for a predetermined bandwidth of cellular network resources includes application of an iterative process and selection from multiple proposed user solutions. The inputs to the iterative process include at least an initial user bid, an initial network rate allocation, a generated user utility function and the cost data. The user utility function includes multiple application user functions. Optimal solution selection includes comparing each multiple proposed user rate allocation with the initial network rate allocation for the user and selecting the closest multiple proposed user rate allocation to the initial network rate allocation. The process may be applied to aggregated cellular carrier scenarios.

Machine learningKnowledge representationPlanningEvolutionary computationH04W 28/24H04W 4/00H04M 15/8044H04M 15/805H04M 15/8055H04W 4/24

AI classification

Evolutionary computation0.97
Planning0.96
Machine learning0.95
Knowledge representation0.73
AI hardware0.15
Natural language0.00
Speech0.00
Vision0.00

Ownership

LEIDOS, INC.

assignment · 391580220

Assignors

HARRINGTON, REBECCA K.

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC