FREEDOM D3.2 Interference Coordination Protocols in Femto-based Networks

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.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

FREEDOM D3.2 Interference Coordination Protocols in Femto-based Networks

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.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.Preprin

TROPIC-D22 Design of network architecture for femto-cloud computing

This deliverable intends to provide an analysis of the network architecture required for small-cell-cloud computing. The architectural framework considered in this document refers to LTE small cell architecture options outlined in the 3GPP standard.The individual elements for radio, cloud and backhaul are described and various possibilities are considered and compared in order to bring them all together for the operation of a small cell cluster to take place in an LTE environment, taking into account the differences between residential and corporate environments. The inter-cluster scenario, for greater computing capabilities, is also analysed. Finally, several solutions are provided for different problems encountered during the analysis, such as Over the Air Communication and distributed cluster management, among others. This document can be used as a recommendation for operators adopting the small-cell-cloud paradigm. The architectural choices are recommendations that telecom operators may study and evaluate according to their requirements and preferencesPreprin

TROPIC-D22 Design of network architecture for femto-cloud computing

This deliverable intends to provide an analysis of the network architecture required for small-cell-cloud computing. The architectural framework considered in this document refers to LTE small cell architecture options outlined in the 3GPP standard.The individual elements for radio, cloud and backhaul are described and various possibilities are considered and compared in order to bring them all together for the operation of a small cell cluster to take place in an LTE environment, taking into account the differences between residential and corporate environments. The inter-cluster scenario, for greater computing capabilities, is also analysed. Finally, several solutions are provided for different problems encountered during the analysis, such as Over the Air Communication and distributed cluster management, among others. This document can be used as a recommendation for operators adopting the small-cell-cloud paradigm. The architectural choices are recommendations that telecom operators may study and evaluate according to their requirements and preference

FREEDOM D3.2 Interference Coordination Protocols in Femto-based Networks

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.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

TROPIC-D22 Design of network architecture for femto-cloud computing

This deliverable intends to provide an analysis of the network architecture required for small-cell-cloud computing. The architectural framework considered in this document refers to LTE small cell architecture options outlined in the 3GPP standard.The individual elements for radio, cloud and backhaul are described and various possibilities are considered and compared in order to bring them all together for the operation of a small cell cluster to take place in an LTE environment, taking into account the differences between residential and corporate environments. The inter-cluster scenario, for greater computing capabilities, is also analysed. Finally, several solutions are provided for different problems encountered during the analysis, such as Over the Air Communication and distributed cluster management, among others. This document can be used as a recommendation for operators adopting the small-cell-cloud paradigm. The architectural choices are recommendations that telecom operators may study and evaluate according to their requirements and preference

TROPIC-D21 Scenario and Requirements

This deliverable defines general framework for consequent technical workpackages in TROPIC. First, scenarios from the business point of view are defined and further transformed to more technical representation. Then, abstraction models are introduced for both communication and computation parts of femto-cloud concept. Furthermore, requirements need to be met to ensure efficient and feasible utilization of the femto-cloud are presented. To enable prove of the femto-cloud concept and to compare the developed techniques and algorithms a set of performance indicators to be considered in all technical workpackages are listed and defined. To that end, the models and simulation settings are defied in the last section of the documen

TROPIC-D21 Scenario and Requirements

This deliverable defines general framework for consequent technical workpackages in TROPIC. First, scenarios from the business point of view are defined and further transformed to more technical representation. Then, abstraction models are introduced for both communication and computation parts of femto-cloud concept. Furthermore, requirements need to be met to ensure efficient and feasible utilization of the femto-cloud are presented. To enable prove of the femto-cloud concept and to compare the developed techniques and algorithms a set of performance indicators to be considered in all technical workpackages are listed and defined. To that end, the models and simulation settings are defied in the last section of the documentPreprin

TROPIC-D21 Scenario and Requirements

This deliverable defines general framework for consequent technical workpackages in TROPIC. First, scenarios from the business point of view are defined and further transformed to more technical representation. Then, abstraction models are introduced for both communication and computation parts of femto-cloud concept. Furthermore, requirements need to be met to ensure efficient and feasible utilization of the femto-cloud are presented. To enable prove of the femto-cloud concept and to compare the developed techniques and algorithms a set of performance indicators to be considered in all technical workpackages are listed and defined. To that end, the models and simulation settings are defied in the last section of the documen