Title :
Delay constrained energy minimization in UWB wireless networks
Author :
Sadi, Yalcin ; Ergen, Sinem Coleri
Abstract :
We study the optimal power control, rate adaptation and scheduling for energy minimization subject to delay, traffic demand, transmit power and SNIR constraints in UltraWideband wireless networks. We first show that power control is not required for delay constrained energy minimization. We then formulate optimal scheduling problem as an exponential size Linear Programming (LP) problem for which we propose the Pricing Minimization based Column Generation Method (PMCGM). PM-CGM decomposes the exponential size LP problem into two sub-problems Restricted Master Problem (RMP) and Pricing Problem (PP) and solves it iteratively. We solve the corresponding delay minimization problem for the initialization of the RMP and propose a pricing minimization based polynomial time algorithm to solve the non-linear integer PP formulation. Simulations illustrate that PM-CGM algorithm decreases the runtime required to solve the large scale LP problem considerably while performing very close-to-optimal for different network scenarios.
Keywords :
computational complexity; integer programming; iterative methods; linear programming; minimisation; scheduling; ultra wideband communication; PMCGM algorithm; RMP; SNIR constraints; UWB wireless networks; delay constrained energy minimization; exponential size linear programming problem; nonlinear integer PP formulation; optimal power control; optimal scheduling problem; pricing minimization based column generation method; pricing minimization based polynomial time algorithm; pricing problem; rate adaptation; restricted master problem; traffic demand; transmit power; ultrawideband wireless networks; Delays; Energy consumption; Equations; Minimization; Optimal scheduling; Resource management; Schedules; Scheduling; UWB; delay minimization; energy minimization; power control; rate adaptation;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2013 IEEE
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-5938-2
Electronic_ISBN :
1525-3511
DOI :
10.1109/WCNC.2013.6554631