Distributed Learning for Proportional-Fair Resource Allocation in Coexisting WiFi Networks
Distributed Learning for Proportional-Fair Resource Allocation in Coexisting WiFi Networks
WiFi networks suffer from severe network utility degradation due to the usage of diverse modulation and coding schemes. The proportional-fair allocation, that has been shown to be a good remedy, can be enforced through the proper selection of contention window values. This has been achieved so far for centralized systems …