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Figure 3 Network fairness.
Performance measures obtained through simulation are system throughput, normalized user utility, network fairness, etc.
All of these schemes have used Jain's fairness index [20] as a measure of the network fairness.
In such a network fairness issues are likely to arise between upstream and downstream nodes competing to access a common data channel.
By far, the largest body of literature specifically devoted to wireless network fairness is that of the MAC-layer solutions (see [14 16], among others).
The trade-off now comes from users in the third cell of the fixed scheme, who with cluster rotation now are forced to experience less advantageous cluster patterns for the sake of overall network fairness.
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In the context of wireless networks, fairness means that every user receives a fair share of the network resources (e.g., time and frequency), taking into account user's service requirements.
In best-effort networks, fairness has been used as a criterion to guide the design of traffic controls.
To such networks, fairness is of particular concern since the overall system performance essentially depends on the allocation of transmission slots among users.
Because of bursty traffic in general purpose community wireless mesh networks, proportional fairness is more suited than max min fairness, where mesh routers and clients should get channel access proportional to their traffic load.
For low network loads, fairness is achieved fully, but for high network loads the average rate requirement is met fairly for 95% of the flows.
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