Multi-unit Budget Feasible Mechanisms for Cellular Traffic Offloading

Jun Wu (Nanjing University)

Abstract

Cellular traffic offloading is nowadays an important problem in mobile networking. Since the offloading resource owners (agents) are self-interested and have private costs, it is highly challenging to design procurement mechanisms that motivate agents to reveal their true costs and achieve guaranteed performance under the constraint of a strict budget. In this paper, we model cellular traffic offloading as a multi-unit budget feasible procurement auction design problem with diminishing return valuations. We design a novel greedy-based randomized mechanism, and prove it is budget-feasible, truthful, individually rational and a (3 + 2 ln 𝑁)-approximation, where 𝑁 is the total number of available resource units. We also propose a deterministic mechanism which achieves (2 + ln 𝑁 + √︀ 2 + 3 ln 𝑁 + ln 2 𝑁)-approximation. We prove no budget-feasible and truthful mechanism can do better than ln 𝑁-approximation in our setting, thus our mechanism approaches the optimal to a constant factor. In addition to solving the cellular traffic offloading problem, our work successfully extends solvable valuation class of greedy-based multi-unit budget-feasible mechanism with performance guarantees from the concave-additive valuations to more general local diminishing return valuations.