NDLI: A Distributed Power-Allocation and Signal-Shaping Game for the Competitively Optimal Throughput-Maximization of Multiple-Antenna “<emphasis emphasistype=italic>ad hoc</emphasis>” Networks

Content Provider	IEEE Xplore Digital Library
Author	Baccarelli, E. Biagi, M. Pelizzoni, C.
Copyright Year	1967
Abstract	This paper focuses on the competitively optimal power control and signal shaping for "ad hoc" networks composed by multiple-antenna noncooperative transmit/receive terminals affected by spatially colored multiple-access interference (MAI). The target is the competitive maximization of the information throughput sustained by each link that is active over the network. For this purpose, the MAI-impaired network is modeled as a noncooperative strategic game, and sufficient conditions for the existence and uniqueness of the Nash equilibrium (NE) are provided. Furthermore, iterative power-control and signal-shaping algorithms are presented to efficiently achieve the NE under both best-effort and "contracted QoS" policies. The presented algorithms also account for the effect of (possibly) imperfect channel estimates available at the transmit/receive units active over the network, they are fully scalable, and they may be implemented in a fully distributed and asynchronous way. The presented numerical results support the conclusion that the proposed distributed algorithms may be able to outperform the conventional centralized orthogonal MAC strategies (as time division multiple access, frequency division multiple access, and code division multiple access) in terms of a sustained network throughput, especially in operating scenarios affected by a strong MAI
Sponsorship	IEEE Vehicular Technology Society
Starting Page	1862
Ending Page	1876
Page Count	15
File Size	952077
File Format	PDF
ISSN	00189545
Volume Number	55
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiple access interference Throughput Iterative algorithms Power control Ad hoc networks Sufficient conditions Nash equilibrium Distributed algorithms Time division multiple access Frequency conversion spatial signal shaping Competitive optimality game theory multiple-access interference (MAI) multiple antennas power allocation
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

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