Joint User-Association and Resource-Allocation in Virtualized Wireless Networks
Saeedeh Parsaeefard, Rajesh Dawadi, Mahsa Derakhshani, Tho Le-Ngoc

TL;DR
This paper presents a joint user-association and resource-allocation algorithm for virtualized wireless networks that improves coverage and spectrum efficiency, especially for cell-edge users, through an iterative optimization approach.
Contribution
It introduces a novel joint optimization framework for user-association, sub-carrier, and power allocation in VWNs, employing successive convex approximation and geometric programming.
Findings
Coverage improvement up to 57% for uniform user distribution.
Coverage improvement up to 71% for non-uniform user distribution.
Outperforms traditional user-assignment methods in simulations.
Abstract
In this paper, we consider a down-link transmission of multicell virtualized wireless networks (VWNs) where users of different service providers (slices) within a specific region are served by a set of base stations (BSs) through orthogonal frequency division multiple access (OFDMA). In particular, we develop a joint BS assignment, sub-carrier and power allocation algorithm to maximize the network throughput, while satisfying the minimum required rate of each slice. Under the assumption that each user at each transmission instance can connect to no more than one BS, we introduce the user-association factor (UAF) to represent the joint sub-carrier and BS assignment as the optimization variable vector in the mathematical problem formulation. Sub-carrier reuse is allowed in different cells, but not within one cell. As the proposed optimization problem is inherently non-convex and NP-hard,…
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