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Joo, Changhee
Learning, Modeling, and Networking
Research Interests
  • Learning, modeling, networking, resource allocation, stochastic optimization, distributed computing, low complexity

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On the Complexity of Scheduling in Wireless Networks

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Title
On the Complexity of Scheduling in Wireless Networks
Author
Joo, ChangheeSharma, GauravShroff, Ness B.Mazumdar, Ravi R.
Keywords
MATCHING PROBLEM; RADIO NETWORKS; APPROXIMATION ALGORITHMS; ALLOCATION; STABILITY; SCHEMES; TIME; THROUGHPUT; FAIRNESS; POLICIES
Issue Date
2010-10
Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
Citation
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, v.2010, no., pp.418934 -
Abstract
We consider the problem of throughput-optimal scheduling in wireless networks subject to interference constraints. We model the interference using a family of K-hop interference models, under which no two links within a K-hop distance can successfully transmit at the same time. For a given K, we can obtain a throughput-optimal scheduling policy by solving the well-known maximum weighted matching problem. We show that for K > 1, the resulting problems are NP-Hard that cannot be approximated within a factor that grows polynomially with the number of nodes. Interestingly, for geometric unit-disk graphs that can be used to describe a wide range of wireless networks, the problems admit polynomial time approximation schemes within a factor arbitrarily close to 1. In these network settings, we also show that a simple greedy algorithm can provide a 49-approximation, and the maximal matching scheduling policy, which can be easily implemented in a distributed fashion, achieves a guaranteed fraction of the capacity region for "all K." The geometric constraints are crucial to obtain these throughput guarantees. These results are encouraging as they suggest that one can develop low-complexity distributed algorithms to achieve near-optimal throughput for a wide range of wireless networks
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DOI
10.1155/2010/418934
ISSN
1687-1499
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