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Cooperative Networking in a Heterogeneous Wireless Medium [electronic resource] / by Muhammad Ismail, Weihua Zhuang.

By: Contributor(s): Material type: TextTextSeries: SpringerBriefs in Computer SciencePublisher: New York, NY : Springer New York : Imprint: Springer, 2013Description: VIII, 90 p. 29 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781461470793
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 621.382 23
LOC classification:
  • TK1-9971
Online resources:
Contents:
Introduction -- Decentralized Optimal Resource Allocation -- Prediction Based Resource Allocation -- Resource Allocation for Single-network and Multi-homing Services -- Conclusions and Future Directions.
In: Springer eBooksSummary: 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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Introduction -- Decentralized Optimal Resource Allocation -- Prediction Based Resource Allocation -- Resource Allocation for Single-network and Multi-homing Services -- Conclusions and Future Directions.

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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