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Distributed \alpha -Optimal User Association and Cell Load Balancing in Wireless Networks

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4 Author(s)
Hongseok Kim ; Department of Electrical Engineering, Sogang University, Seoul, Korea ; Gustavo de Veciana ; Xiangying Yang ; Muthaiah Venkatachalam

In this paper, we develop a framework for user association in infrastructure-based wireless networks, specifically focused on flow-level cell load balancing under spatially inhomogeneous traffic distributions. Our work encompasses several different user association policies: rate-optimal, throughput-optimal, delay-optimal, and load-equalizing, which we collectively denote α-optimal user association. We prove that the optimal load vector ρ* that minimizes a generalized system performance function is the fixed point of a certain mapping. Based on this mapping, we propose and analyze an iterative distributed user association policy that adapts to spatial traffic loads and converges to a globally optimal allocation. We then address admission control policies for the case where the system is overloaded. For an appropriate system-level cost function, the optimal admission control policy blocks all flows at cells edges. However, providing a minimum level of connectivity to all spatial locations might be desirable. To this end, a location-dependent random blocking and user association policy are proposed.

Published in:

IEEE/ACM Transactions on Networking  (Volume:20 ,  Issue: 1 )