Abstract
By the newly emerging radio access technologies, we face the new heterogeneous network environment. Focusing on the co-existence of multiple access networks and the complex service combinations, the wireless service operators should guarantee good quality of services for every user. Thus, the service operators build a new operation framework which combines the existing networks and newly adopted ones. Our objective is finding the optimal heterogeneous network operation framework. We suggest the market-based marginal cost function for evaluating the relative value of resources for each network and develop a whole new heterogeneous network operation framework. To prove the applicability of the proposed operation framework, we build a large-scale JAVA simulator. We can easily test the various service scenarios in heterogeneous network environment by the simulator.
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Appendix A
Appendix A
To prove the difference among marginal costs is converged to zero. We first set up a system of non-linear differential equations according to Traffic Transition Law as follows:
For a transition rate λ,
Let \( A_{ij} : = c_{ij} (f_{i} (u_{i} ) - f_{j} (u_{j} )). \) The total traffic \( u_{1} + u_{2} + \cdots + u_{N} \) is conserved since
We measure the “variation among marginal costs” with the following function: \( V(t) = \sum\limits_{i,j} {c_{ij} (f_{i} (u_{i} (t)) - f_{j} (u_{j} (t)))^{2} }. \) The load balancing effect by the marginal cost function can be shown by the \( V(t) = \sum\limits_{i,j} {c_{ij} (f_{i} (u_{i} (t)) - f_{j} (u_{j} (t)))^{2} } \to 0 \) as the dynamics as described by the marginal cost based traffic transition. Using the fact that \( A_{ij} = - A_{ji} , \) we have
The minimum of V is 0, when \( f_{1} \left( {u_{1} } \right) = f_{2} \left( {u_{2} } \right) = \cdots = f_{N} \left( {u_{N} } \right). \) Therefore, we prove the zero convergence of difference among the marginal cost.
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Kim, JH. Design of Common Resource Management and Network Simulator in Heterogeneous Radio Access Network Environment. J Netw Syst Manage 17, 137–156 (2009). https://doi.org/10.1007/s10922-008-9104-2
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DOI: https://doi.org/10.1007/s10922-008-9104-2