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Resource reservation is an essential step to enable wireless data networks tosupport a wide range of user demands. In this paper, we consider the problem ofjoint resource reservation in the backhaul and Radio Access Network (RAN) basedon the statistics of user demands and channel states, and also networkavailability. The goal is to maximize the sum of expected traffic flow rates,subject to link and access point budget constraints, while minimizing theexpected outage of downlinks. The formulated problem turns out to be non-convexand difficult to solve to global optimality. We propose an efficient BlockCoordinate Descent (BCD) algorithm to approximately solve the problem. Theproposed BCD algorithm optimizes the link capacity reservation in the backhaulusing a novel multipath routing algorithm that decomposes the problem down tolink-level and parallelizes the computation across backhaul links, while thereservation of transmission resources in RAN is carried out via a novelscalable and distributed algorithm based on Block Successive Upper-boundMinimization (BSUM). We prove that the proposed BCD algorithm converges to aKarush-Kuhn-Tucker solution. Simulation results verify the efficiency and theefficacy of our BCD approach against two heuristic algorithms.

Resource Reservation in Backhaul and Radio Access Network with Uncertain User Demands