Issue No. 04 - April (2012 vol. 11)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TMC.2011.58
Hyang-Won Lee , Kotlkuk Univ., Seoul, South Korea
E. Modiano , Massachusetts Inst. of Technol., Cambridge, MA, USA
Long Bao Le , INRS Energie, Mater. et Telecommun., Univ. of Quebec, Montreal, QC, Canada
We develop a distributed throughput-optimal power allocation algorithm in wireless networks. The study of this problem has been limited due to the nonconvexity of the underlying optimization problems that prohibits an efficient solution even in a centralized setting. By generalizing the randomization framework originally proposed for input queued switches to SINR rate-based interference model, we characterize the throughput-optimality conditions that enable efficient and distributed implementation. Using gossiping algorithm, we develop a distributed power allocation algorithm that satisfies the optimality conditions, thereby achieving (nearly) 100 percent throughput. We illustrate the performance of our power allocation solution through numerical simulation.
radiofrequency interference, numerical analysis, optimisation, radio networks, numerical simulation, distributed throughput maximization, wireless networks, random power allocation, optimization, SINR rate-based interference model, gossiping algorithm, Resource management, Interference, Throughput, Signal to noise ratio, Wireless networks, Power control, Stability analysis, SINR-based interference model., Throughput-optimal power allocation, randomization framework
Long Bao Le, E. Modiano and Hyang-Won Lee, "Distributed Throughput Maximization in Wireless Networks via Random Power Allocation," in IEEE Transactions on Mobile Computing, vol. 11, no. , pp. 577-590, 2012.