loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Fourth IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06)
Maximum Weighted Matching with Interference Constraints
Pisa, Italy
March 13-March 17
ISBN: 0-7695-2520-2
Gaurav Sharma, Purdue University
Ness B. Shroff, Purdue University
Ravi R. Mazumdar, University of Waterloo
In this paper, we study the problem of utility maximization in multi-hop wireless systems. To study the effect of wireless interference constraints on the utility maximization problem, we introduce a new class of weighted matching problems, namely Maximum Weighted K-Valid Matching problems (MWKVMPs). For K = 1, MWKVMP corresponds to the well studied Maximum Weighted Matching problem (MWMP) in the literature, which can be solved in polynomial time. We prove several interesting results concerning the hardness of these problems for K = 2. In particular, we show that MWKVMP does not even belong to APX; where APX denotes the class of problems to which a constant factor approximation can be obtained in polynomial time. Our results have strong implications concerning the hardness of scheduling transmissions in multi-hop wireless systems.
Citation:
Gaurav Sharma, Ness B. Shroff, Ravi R. Mazumdar, "Maximum Weighted Matching with Interference Constraints," percomw, pp.70-74, Fourth IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.