HoP: Hierarchize then optimize: A distributed framework for user association and flexible TDD allocation for access and backhaul networks

Sapountzis, Nikolaos; Spyropoulos, Thrasyvoulos; Nikaein, Navid; Salim, Umer
Research Report RR-16-328

The success of future heterogeneous networks (HetNets) heavily depends
on the interplay between user association and resource allocation on both the
access and backhaul network. While user association is key to improve both
the user and network performance, it is becoming a multi-objective optimization
problem that should consider the number and type of BS in range. Furthermore,
the increasing spatio-temporal heterogeneity in downlink(DL) and
uplink(UL) traffic suggests that DL/UL resources can be tuned to optimally
serve the respective workload. Split DL/UL association and flexible TDD offer
such an opportunity. While much literature exists on these problems, the
majority consider them separately. In this work, we develop a framework that
tackles the optimal interplay of (i) user-association, (ii) radio resource allocation,
and (iii) backhaul resource allocation of TDD resources, for a family
of objective functions. We propose an algorithm that reduces the complexity
of this problem by decomposing it into three optimization subproblems, each
potentially solved by a different network element and at different timescales.
We prove convergence to the global optimum, and provide simulation results
that demonstrate the performance benefits of our approach.

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