Stable Power Control in Wireless Networks via Dual Averaging

Zhou, Zhengyuan; Mertikopoulos, Panayotis; Moustakas, Aris L.; Mehdian, Saied; Bambos, Nicholas

doi:10.1109/glocom.2017.8254646

Cited by 4 publications

(5 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…125 , is feasible (with λ max (W) = 0.79). So, by the results shown in [12], the RFA algorithm allows all the link powers in this channel to converge to their optimal value (with no delay). Now, we add delay to this stochastic channel.…”

Section: Stochastic and Time-varying Channelmentioning

confidence: 99%

“…For this paper, we consider only non-negative real transmission powers. We also enforce a maximum power p max i for each link, which is a standard practical constraint [12] [19]. The feasible support set for the power vector, then, is…”

Section: Background Model Motivation a Power Control In Wirelementioning

confidence: 99%

“…A novel alternative update to the FM algorithm is the dual averaging (DA) power control algorithm [12], which was inspired by the dual averaging/mirror descent optimization algorithm [22], [23], [24] . This algorithm performs updates on a dual power vector, y, and then transforms these dual power vectors into the transmitted power vector p by finding the closest p to y that satisfies the constraints given in (2) and is feasible.…”

Section: B Power Control Algorithmsmentioning

confidence: 99%

“…In a 2017 study which addresses these stability issues, Zhou et al presented a power control algorithm known as dual averaging (DA) [12]. This algorithm uses historical information in a way that prevents the current transmitted power from being dominated by any particular previously received signal.…”

Section: Introductionmentioning

confidence: 99%

“…Our goal is to present a new power control algorithm that maintains the desirable stability and efficiency of the DA algorithm [12], and is capable of handling arbitrary delays. We must first address the situation in which multiple power iterates are delayed such that they arrive within a single time step.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Power Control with Random Delays: Robust Feedback Averaging

Ward¹,

Zhou²,

Mertikopoulos³

et al. 2018

2018 IEEE Conference on Decision and Control (CDC)

Self Cite

View full text Add to dashboard Cite

Distributed power control schemes in wireless networks have been well-examined, but standard methods rarely consider the effect of potentially random delays, which occur in almost every real-world network. We present Robust Feedback Averaging, a novel power control algorithm that is capable of operating in delay-ridden and noisy environments. We prove optimal convergence of this algorithm in the presence of random, time-varying delays, and present numerical simulations that indicate that Robust Feedback Averaging outperforms the ubiquitous Foschini-Miljanic algorithm in several regimes.

show abstract

Section: Stochastic and Time-varying Channelmentioning

confidence: 99%

Section: Background Model Motivation a Power Control In Wirelementioning

confidence: 99%