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We propose algorithms for cloud radio access networks that not only provideheterogeneous quality of-service (QoS) for rate- and, importantly,delay-sensitive applications, but also jointly optimize the frequency reusepattern. Importantly, unlike related works, we account for random arrivals,through queue awareness and, unlike majority of works focusing on a singleframe only, we consider QoS measures averaged over multiple frames involving aset of closed loop controls. We model this problem as multi-cell optimizationto maximize a sum utility subject to the QoS constraints, expressed as minimummean-rate or maximum mean-delay. Since we consider dynamic interferencecoordination jointly with dynamic user association, the problem is not convex,even after integer relaxation. We translate the problem into an optimization offrame rates, amenable to a decomposition into intertwined primal and dualproblems. The solution to this optimization problem provides joint decisions onscheduling, dynamic interference coordination, and, importantly, unlike mostworks in this area, on dynamic user association. Additionally, we propose anovel method to manage infeasible loads. Extensive simulations confirm that thedesign responds to instantaneous loads, heterogeneous user and AP locations,channel conditions, and QoS constraints while, if required, keeping outage lowwhen dealing with infeasible loads. Comparisons to the baseline proportionalfair scheme illustrate the gains achieved.

Queue-Aware Joint Dynamic Interference Coordination and Heterogeneous QoS Provisioning in OFDMA Networks