Weighted sum-rate maximization for a set of interfering links via branch and bound
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers
We consider the problem of weighted sum-rate maximization (WSRMax) for a set of interfering links. It plays a central role in resource allocation, link scheduling or in finding achievable rate regions for both wireline and wireless networks. This problem is known to be NP-hard. We propose a solution method, based on the branch and bound technique, which solves globally the nonconvex WSRMax problem with an optimality certificate. Efficient analytic bounding techniques are introduced and their
... act on the convergence is numerically evaluated. The considered link-interference model is general enough to model a wide range of network topologies with various node capabilities, e.g., single-or multipacket transmission (or reception), simultaneous transmission and reception. Several applications, including cross-layer network utility maximization and maximum weighted link scheduling for multihop wireless networks as well as finding achievable rate regions for singlecast/multicast wireless networks, are presented. The proposed algorithm can be further used to provide other performance benchmarks by back-substituting it into any network design method which relies on WSRMax. It is also very useful for evaluating the performance loss encountered by any heuristic algorithm. Index Terms-Branch and bound, global (nonconvex) optimization, interference, link scheduling, power and rate control, wireless networks. 1053-587X/$26.00 © 2011 IEEE Pradeep Chathuranga Weeraddana (S'08) received the B.Sc. degree in electronic and telecommunication engineering with first class honors from the University of Moratuwa, Moratuwa, Sri Lanka, in 2004, and the M.Eng. degree telecommunication from the School of Engineering and Technology, Asian Institute of Technology, Thailand, in 2007. He is currently working toward the Ph.D. degree with the Centre for Wireless Communications, Department of Electrical Engineering, University of Oulu, Finland. His research interests include application of optimization techniques for signal processing and wireless communications.