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The IEEE 802.16 standard, also known as WiMax, provides a mechanism for deploying high-speed wireless mesh network in metropolitan areas. In this paper, we propose an algorithm for the data sub-channel allocation, i.e., transmission scheduling, of WiMax based mesh networks. The goal is to increase spatial reuse, achieve high system throughput, and provide fair access for the subscriber stations. In contrast to the previous "hard" fairness definitions, we introduce a new fairness notion that is imposed contingent on the actual traffic demands, in such a way that a higher capacity region can be achieved. We formulate a scheduling problem whose objective is to maximize the system throughput under our fairness model. We also develop an efficient algorithm to find the optimal schedule and the accompanying resource allocation. The performance of the scheduling algorithm is evaluated through simulations.

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Practically, loads are found to be voltage dependent and reconfiguration in distribution systems changes the node voltage profile. Hence reconfiguration affects the load behaviour. In this scenario, the traditional approach of defining energy efficient operation as mere loss minimisation does not give truly energy efficient results. Therefore this study defines energy efficiency as a multi-variable function in terms of energy efficiency defining parameters and develops an energy efficiency performance index, in order to identify an energy efficient configuration. The proposed approach of reconfiguration gives more flexibility to utilities in operating the distribution system with improved power quality and reliability, and enables them to actively participate in a competitive deregulated environment. In this study, voltage dependent loads are modelled in the form of load combinations to represent the real world loads at a bulk delivery point of the distribution system.

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