Ebook: Cooperative Networking in a Heterogeneous Wireless Medium

This brief focuses on radio resource allocation in a heterogeneous wireless medium. It presents radio resource allocation algorithms with decentralized implementation, which support both single-network and multi-homing services. The brief provides a set of cooperative networking algorithms, which rely on the concepts of short-term call traffic load prediction, network cooperation, convex optimization, and decomposition theory. In the proposed solutions, mobile terminals play an active role in the resource allocation operation, instead of their traditional role as passive service recipients in the networking environment.

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This brief focuses on radio resource allocation in a heterogeneous wireless medium. It presents radio resource allocation algorithms with decentralized implementation, which support both single-network and multi-homing services. The brief provides a set of cooperative networking algorithms, which rely on the concepts of short-term call traffic load prediction, network cooperation, convex optimization, and decomposition theory. In the proposed solutions, mobile terminals play an active role in the resource allocation operation, instead of their traditional role as passive service recipients in the networking environment.

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This brief focuses on radio resource allocation in a heterogeneous wireless medium. It presents radio resource allocation algorithms with decentralized implementation, which support both single-network and multi-homing services. The brief provides a set of cooperative networking algorithms, which rely on the concepts of short-term call traffic load prediction, network cooperation, convex optimization, and decomposition theory. In the proposed solutions, mobile terminals play an active role in the resource allocation operation, instead of their traditional role as passive service recipients in the networking environment.
Content:
Front Matter....Pages i-viii
Introduction....Pages 1-15
Decentralized Optimal Resource Allocation....Pages 17-36
Prediction Based Resource Allocation....Pages 37-57
Resource Allocation for Single-Network and Multi-Homing Services....Pages 59-81
Conclusions and Future Directions....Pages 83-85
Back Matter....Pages 87-90

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This brief focuses on radio resource allocation in a heterogeneous wireless medium. It presents radio resource allocation algorithms with decentralized implementation, which support both single-network and multi-homing services. The brief provides a set of cooperative networking algorithms, which rely on the concepts of short-term call traffic load prediction, network cooperation, convex optimization, and decomposition theory. In the proposed solutions, mobile terminals play an active role in the resource allocation operation, instead of their traditional role as passive service recipients in the networking environment.
Content:
Front Matter....Pages i-viii
Introduction....Pages 1-15
Decentralized Optimal Resource Allocation....Pages 17-36
Prediction Based Resource Allocation....Pages 37-57
Resource Allocation for Single-Network and Multi-Homing Services....Pages 59-81
Conclusions and Future Directions....Pages 83-85
Back Matter....Pages 87-90
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