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DIMSUMNet: New Directions in Wireless Networking Using Coordinated Dynamic Spectrum Access
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Combinatorial Auctions
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Truthful and Near-Optimal Mechanism Design via Linear Programming
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Strong Edge Coloring for Channel Assignment in Wireless Radio Networks
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Truthful randomized mechanisms for combinatorial auctions
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Algorithmic Game Theory
Optimal approximation for the submodular welfare problem in the value oracle model
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eBay in the Sky: strategy-proof wireless spectrum auctions
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Multiflows in multihop wireless networks
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Improved Algorithms for Latency Minimization in Wireless Networks
ICALP '09 Proceedings of the 36th Internatilonal Collogquium on Automata, Languages and Programming: Part II
ICALP '09 Proceedings of the 36th International Colloquium on Automata, Languages and Programming: Part I
Oblivious interference scheduling
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Online capacity maximization in wireless networks
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Distributed contention resolution in wireless networks
DISC'10 Proceedings of the 24th international conference on Distributed computing
Truthful mechanisms for exhibitions
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The capacity of wireless networks
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IEEE Journal on Selected Areas in Communications
Truthful and Near-Optimal Mechanism Design via Linear Programming
Journal of the ACM (JACM)
Wireless capacity with arbitrary gain matrix
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Secondary spectrum auctions for symmetric and submodular bidders
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Dynamic packet scheduling in wireless networks
PODC '12 Proceedings of the 2012 ACM symposium on Principles of distributed computing
Truthfulness and stochastic dominance with monetary transfers
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Brief announcement: universally truthful secondary spectrum auctions
Proceedings of the twenty-fifth annual ACM symposium on Parallelism in algorithms and architectures
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We study combinatorial auctions for the secondary spectrum market. In this market, short-term licenses shall be given to wireless nodes for communication in their local neighborhood. In contrast to the primary market, channels can be assigned to multiple bidders, provided that the corresponding devices are well separated such that the interference is sufficiently low. Interference conflicts are described in terms of a conflict graph in which the nodes represent the bidders and the edges represent conflicts such that the feasible allocations for a channel correspond to the independent sets in the conflict graph. In this paper, we suggest a novel LP formulation for combinatorial auctions with conflict graph using a non-standard graph parameter, the so-called inductive independence number. Taking into account this parameter enables us to bypass the well-known lower bound of Ω(n1-ε) on the approximability of independent set in general graphs with n nodes (bidders). We achieve significantly better approximation results by showing that interference constraints for wireless networks yield conflict graphs with bounded inductive independence number. Our framework covers various established models of wireless communication, e.g., the protocol or the physical model. For the protocol model, we achieve an O(√k)-approximation, where k is the number of available channels. For the more realistic physical model, we achieve an O(√k log2 n) approximation based on edge-weighted conflict graphs. Combining our approach with the LP-based framework of Lavi and Swamy, we obtain incentive compatible mechanisms for general bidders with arbitrary valuations on bundles of channels specified in terms of demand oracles.