FREEDOM Project. Interference coordination protocols in femto-based networks
| Autor: | Rosi, Guido, Pucci, Fabrizio, Imponente, Giovanni, de Marinis, Enrico, Baiocchi, Andrea, Barbarossa, Sergio, di Lorenzo, Paolo, Agustín de Dios, Adrián, Muñoz Medina, Olga, Vidal Manzano, José, Goldhamer, M., Rodríguez Fonollosa, Javier, Pastore, A., Sardellitti, Stefania, Pescosolido, Loreto |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: | |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Recercat. Dipósit de la Recerca de Catalunya instname |
| Popis: | This document looks into coordinated radio resource allocation algorithms in deployments of huge number of femto-access points (FAP) by exploiting the message exchange at control-plane level through the wired ISP backhaul link. The algorithms present in this document are based on decentralized cooperative strategies supported by Game Theory. Decentralized resource allocation algorithms based on price exchange have been derived under different criteria: guaranteeing a minimum rate with the minimum power, maximizing the weighted sum-rate of the system, maximizing the opportunistic throughput when there are different source of randomness like random link failures and noise quantization or when the activity of macro-users is not known by FAPs (coordinated channel sensing or modelling the activity). Additionally, a genetic-based resource allocation is investigated, providing centralized and decentralized algorithms, to which the Game Theory solutions are challenged. In all cases, the techniques derived require modifications of the current LTE-A standard which are identified. Finally, some of those algorithms have been evaluated in a Realistic corporate scenario elucidating the advantages of coordinated resource allocation techniques proposed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|