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Bandwidth allocation is important for a mesh network to meet Quality of Service (QoS) requirements of the users. This bandwidth allocation has to ensure that the maximum throughput is achieved. However, this problem becomes more challenging when the information about a network (e.g., channel quality and hence link capacity) is not accurately known, especially, in a real system whose parameters are uncertain. Therefore, in this paper, the authors apply the robust optimization technique to develop a model that can tolerate the uncertainty of the system parameters. First, they formulate the bandwidth allocation problem as a constrained optimization problem and its robust counterpart is obtained.
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