P. Chathuranga Weeraddana, Optimizing Client Association for Load Balancing and Fairness in Millimeter-Wave Wireless Networks

Abstract

MillimeterWave wireless communications in the 60 GHz band are considered as the key technology for enabling multi-gigabit wireless access. However, the high propagation loss in such a band poses major obstacles to the optimal utilization and fairness of the wireless services, where the problem of efficient association of clients to access points (APs) is of vital importance. In this paper, such a fundamental problem of optimizing the assignment of the clients to the available APs in 60 GHz wireless access networks is studied. The AP utilization and the supported transmission rates over the rapidly vanishing millimeterWave communication links are the main parameters in the optimization. Because of the tricky non-convex and combinatorial nature of the client association optimization problem, new fundamental solution methods are proposed to guarantee balanced and fair resource allocation. A new distributed, lightweight, and easy to implement association algorithm is established based on an iterative procedure that uses Lagrangian duality theory and subgradient methods. It is shown that the algorithm is asymptotically optimal as the relative duality gap diminishes to zero when the number of clients increases. Both theoretical and numerical results evince numerous useful properties, such as fast convergence, scalability, time efficiency, and fair execution in comparison to existing association approaches. It is concluded that the proposed solution can be applied it the forthcoming 60 GHz wireless networks and can support new bandwidthdemanding applications.

Keywords

60 GHz Wireless Access Networks, Resource Allocation, Association Control

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Paper: Optimizing Client Association for Load Balancing and Fairness in Millimeter-Wave Wireless Networks

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