Proceedings of the American Control Conference
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publication venue for: Analysis of distributed power allocation in wireless networks under multiplicative noise and interference uncertainty
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Document
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RDF description of Analysis of distributed power allocation in wireless networks under multiplicative noise and interference uncertainty - http://orbis.uaslp.mx/vivo/individual/scopus8695
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date: 2026-08-25T14:37:37
publisher: vivo
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Analysis of distributed power allocation in wireless networks under multiplicative noise and interference uncertainty
most specific type: Document
type: Continuant
page end: 2141
related by: authorship_62293
type: Conference Paper
estado: published
artnum: 6859456
type: Information Content Entity
related by: authorship_62292
date time value: conference paper date 8696
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type: Generically Dependent Continuant
freetext keyword: distributed control; Power allocation; small-gain; stochastic system; wireless network Multiple access interference; Quality of service; Spurious signal noise; Stochastic control systems; Stochastic systems; Uncertainty analysis; Wireless networks; Distributed control; Distributed Power-Allocation; Floating point operations; Multiplicative uncertainty; Power allocations; Signal to interference-noise ratios; Small gain; Wireless data transmission; Signal interference
origen: scopus
EI dscopus: 2-s2.0-84905674925
has publication venue: Proceedings of the American Control Conference
abstract: In this paper, the problem of power allocation in a wireless network is studied with a distributed perspective by taking into account multiple-access interference in the communication channel, non-uniform quantization and floating-point operations. These three effects can be characterized by multiplicative uncertainty models in the forward and feedback paths of a closed-loop power control strategy. The quality of service (QoS) in the wireless data transmission is evaluated with respect to signal to interference-noise ratio (SINR) after the estimation process, where the uplink channel (active users to base station) is addressed by its implications with respect to battery consumption. The multiplicative uncertainty terms are modeled by a stochastic framework, and the mean-square small gain theorem is employed to evaluate robust stability. Two inequalities are then derived to check internal stability with respect to the norms of the multiplicative uncertainty terms, and sensitivity and complementary sensitivity transfer functions of the closed-loop system. As a case study we considered an LQG controller in each active user for power allocation, whose structure allows to derive simplified inequalities to evaluate robust stability. © 2014 American Automatic Control Council.
doi: 10.1109/ACC.2014.6859456
page start: 2136
related by: authorship_62294
most specific type: Conference Paper
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Conference Paper
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