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Wireless Ad Hoc and Sensor Networks

Wireless Ad Hoc and Sensor Networks

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Distributed Power Control of <strong>Wireless</strong> Cellular <strong>and</strong> Peer-to-Peer <strong>Networks</strong> 183Here P= ( p denotes the maximum transmission power level of eachmax)transmitter. The scheme assumes that there exists a unique power vectorP * , which would solve Equation 5.7. Thus, by a feasible system, the matrix* −1A is nonsingular, <strong>and</strong> 0 ≤ P = A µ ≤P.Iterative methods can be executedwith local measurement to find the power vector P * . Through somemanipulations, the following second-order iterative form of the algorithmis obtained as{ { }}( l )l l ll lp = min p , max 0, w γ p R + ( 1−w ) p+ 1 −iii1i ii(5.9)where w l = 1+1/ 1. 5n . The min <strong>and</strong> max operators in the Equation 5.9 areto guarantee that the transmitter power will be within the allowable range.The DPC schemes proposed in Bambos et al. (2000) <strong>and</strong> Jantti <strong>and</strong> Kim(2000) appear to result in unsatisfactory performance in terms of convergence<strong>and</strong> during admission control as demonstrated in our simulations.The proposed work (Jagannathan et al. 2002, Dontula <strong>and</strong> Jagannathan2004) is aimed at addressing these limitations. A suite of closed-loop DPCschemes is presented next. Both state space (SSCD) <strong>and</strong> optimal schemesfor updating the transmitter power are described in detail. The convergenceproofs of these control schemes are also given, <strong>and</strong> they are demonstratedin simulation. Later, the DPC scheme is modified so that suitablepower can be selected during fading channels.5.2.3 State-Space-Based Controls DesignThe calculation of SIR can be expressed as a linear system asR( l+ 1) = R( l) + v()li i i(5.10)where Ri( l+ 1) , Ri( l)are the SIR values at the time instant l <strong>and</strong> l + 1,respectively, with vi( l)being the power value. Equation 5.10 is obtainedas follows: i.e., each user-to-user or user-to-base-station connection canbe considered as a separate subsystem as described by the equationR ( l+ 1)=ipi() l + ui()lI () li(5.11)p () l( )inGijκiwhere by definition Ri() l = , <strong>and</strong> interference Ii () l = ∑ j≠ipj()* l + , withGiiGiiIi() ln as the number of active links. The vi( l)in each system is defined

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