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http://dx.doi.org/10.7840/KICS.2011.36A.11.878

Distributed Throughput-Maximization Using the Up- and Downlink Duality in Wireless Networks  

Park, Jung-Min (연세대학교 전기전자공학과 무선자원최적화연구실)
Kim, Seong-Lyun (연세대학교 전기전자공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.36, no.11A, 2011 , pp. 878-891 More about this Journal
Abstract
We consider the throughput-maximization problem for both the up- and downlink in a wireless network with interference channels. For this purpose, we design an iterative and distributive uplink algorithm based on Lagrangian relaxation. Using the uplink power prices and network duality, we achieve throughput-maximization in the dual downlink that has a symmetric channel and an equal power budget compared to the uplink. The network duality we prove here is a generalized version of previous research [10], [11]. Computational tests show that the performance of the up- and downlink throughput for our algorithms is close to the optimal value for the channel orthogonality factor, ${\theta}{\in}$(0.5, 1]. On the other hand, when the channels are slightly orthogonal (${\theta}{\in}$(0, 0.5]), we observe some throughput degradation in the downlink. We have extended our analysis to the real downlink that has a nonsymmetric channel and an unequal power budget compared to the uplink. It is shown that the modified duality-based approach is thoroughly applied to the real downlink. Considering the complexity of the algorithms in [6] and [18], we conclude that these results are quite encouraging in terms of both performance and practical applicability of the generalized duality theorem.
Keywords
Network Duality; Power Control; Optimization; Interference Channel; Lagrangian;
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