Ergodic spectrum management systems and methods

Abstract

Presented are Ergodic Spectrum Management (ESM) systems and methods that take advantage of the presence of statistical consistencies (“ergodicity”) and correlations, such as a wireless network's average dimensional consistencies of probability distributions (in time, space, and frequency) of channel gains, to adaptively learn qualitative and quantitative network/user behavior; estimate or predict network performance; and guide locally implemented radio resource management (RRM) decisions of wireless multi-user transmissions in a manner such as to reduce interference and improve latency; connection stability; efficiency; and overall wireless performance. ESM also enhances end-users' Quality of Experience (QoE) by allowing movement across bands and regions as users/devices roam. A remote-cloud-based resource management implementation of ESM' s Learn-ed Resource Managers (LRMs) removes the need for heavy edge-computing close to radio cells.

What is claimed is: 
     
         1 . A system for improving quality of experience (QoE) with a wireless communication system, the system comprising:
 a first access node within a plurality of access nodes, the first access node collects data comprising a probability distribution of channel gains that have been obtained for one or more channels in the wireless communication system; and   a processor coupled to the first access node, the processor identifies user or network behavior by performing steps comprising:
 receiving the collected data at a management interface; 
 performing an ergodic analysis such that consistent use patterns within the collected data are exploited to determine a policy that satisfies one or more constraints; and 
 providing the policy to at least one access node within the plurality of access nodes to cause the at least one access node to adapt one or more parameters to improve quality of experience (QoE) with the wireless communication system.