Distributed Power Allocation for Cooperative Wireless Network Localization
Name
Win_Distributed power.pdf
Size
391.3 KB
Format
Adobe PDF
Checksum (MD5)
fb555b1b8c4dc6f859ff61e2b66e438a
Author(s) • •
Dai, Wenhan
Shen, Yuan
Win, Moe Z.
Date Issued
January 2015
Journal
IEEE Journal on Selected Areas in Communications
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Dai, Wenhan, Yuan Shen, and Moe Z. Win. “Distributed Power Allocation for Cooperative Wireless Network Localization.” IEEE Journal on Selected Areas in Communications 33, no. 1 (January 2015): 28–40.
Version
Author's final manuscript
Abstract
Device-to-device (D2D) communication in cellular networks is a promising concept that permits cooperation among mobile devices not only to increase data throughput but also to enhance localization services. In those networks, the allocation of transmitting power plays a critical role in determining network lifetime and localization accuracy. Meanwhile, it is a challenging task for implementation in cooperative D2D networks, since each device has only imperfect estimates of local network parameters in distributed settings. In this paper, we establish an optimization framework for robust power allocation in cooperative wireless network localization, and develop distributed power allocation strategies. In particular, we decompose the power allocation problem into infrastructure and cooperation phases, show the sparsity property of the optimal power allocation, and develop efficient power allocation strategies. Simulation results show that these strategies can achieve significant performance improvement in localization accuracy compared to the uniform strategies.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/jsac.2014.2369631