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Wireless Ad Hoc and Sensor Networks

Wireless Ad Hoc and Sensor Networks

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220 <strong>Wireless</strong> <strong>Ad</strong> <strong>Hoc</strong> <strong>and</strong> <strong>Sensor</strong> <strong>Networks</strong>TABLE 5.3Distributed Power Controller during Fading Channels with Estimation ErrorBeing ZeroSIR system state equationwhereSIR errorFeedback controllerChannel parameter updatePower update⎡ yi()l ⎤yi( l+ 1) = [ αi( l) ri( l)]⎢ ⎥ + βi()lvi()l⎣ωi()l ⎦y () l = R()li= θ () lψ () l + β () l v () le () l = R()l −γi i iii T i i iv () l = − 1β ()[ l − ˆ θ () lψ () l + γ + k e ()] li i i i i v iˆ θ ( l+ 1 ) = ˆ θ () l + σψ () l e ( l+1 )i i i i TPl ( + 1) = ( v( lI ) ( l) + Pl ( ))i i i iwherek v, γ i , σ <strong>and</strong>ηi are design parametersCombining Equation 5.69 <strong>and</strong> Equation 5.70 to get( )∆J =−ei T () l ⎡I− 1+σψ i T () lψi() l kv T k ⎤v ei()l⎣⎦( ) ⎡ ⎣+ 2σψ i T T() lψ i()[ l kvei()] l ⎡θ ̃ i T () lψi()l ⎤⎣ ⎦ − 1 −σψ i T () l ψ i() l θ ̃i T () l ψ i() l ⎤ ⎡ θ ̃⎦ ⎣i T () l ψ i(l)⎤⎦T( vmax) i − − i≤− 1−δk 2 |()| e l 2 1 σ | ψ ( l)|2( )̃θi Tlψi()l −1 −2σ | ψi( l)|ke2 v i()lσ | ψ ( l)|i2(5.71)where δ is given after Equation 5.66. Taking expectations on both sidesyieldsE( ∆J)≤−E⎛2× ( 1−kvmax) 2 |()| ei l 22σ | ψ ( )|δ −( 1−σ | ψ i( l)||) ̃θi Ti l⎜lψi()l + k2 vei( l)⎝⎜1 − σ | ψi( l)|⎞⎟⎠⎟(5.72)Because EJ ()> 0 <strong>and</strong> E( ∆J) ≤ 0,this shows the stability in the mean viasense of Lyapunov provided the conditions (Equation 5.65) <strong>and</strong> (Equation5.66) hold, so Ee [ i( l)] <strong>and</strong> E[ ̃θ i( l)](<strong>and</strong>, hence, E[ ˆ θi( l)])are bounded in themean if Ee [ i( l0)]<strong>and</strong> E[ ̃θ i( l )] are bounded in a mean. Summing both sides0of Equation 5.72 <strong>and</strong> taking limits lim E ( ∆J), the SIR error can be shownl→∞to converge E[ |()|] eil → 0.2

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