We present an analytical framework for modeling a priority-based load balancing scheme in cellular networks based on a modified version of the direct retry algorithm. The model differs in many respects from previous works on load balancing, in particular by incorporating the call admission process, through random access; by allowing the differentiation of users based on their priorities; and by incorporating received signal properties. The analysis illustrates that, for example, as more shared channels are used for load balancing an increase in overall system channel utilization is observed. However, more interestingly, the improvement in blocking probability per shared channel for load balanced users is maximized at an intermediate number of shared channels as opposed to the maximum number of these shared resources  .
We present an analytical framework for modeling a priority-based load balancing scheme in cellular networks based on a modified version of the direct retry algorithm. The model differs in many respects from previous works on load balancing, in particular by incorporating the call admission process, through random access; by allowing the differentiation of users based on their priorities; and by incorporating received signal properties. The quantitative results illustrate that, for example, as more shared channels are used for load balancing an increase in overall system channel utilization is observed. However, more interestingly, the improvement in blocking probability per shared channel for load balanced users is maximized at an intermediate number of shared channels as opposed to the maximum number of these shared resources . This occurs because a balance is achieved between the number of users requesting connections and those that are already admitted to the network. Our analysis proves that cellular network operators can control the manner in which traffic is offloaded between neighboring cells by simply manipulating the length of the random access phase .
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analysis illustrates
quantitative results illustrate
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. This occurs because a balance is achieved between the number of users requesting connections and those that are already admitted to the network. Our analysis proves that cellular network operators can control the manner in which traffic is offloaded between neighboring cells by simply manipulating the length of the random access phase