TY - GEN
T1 - On the optimization of mobile power-controlled cellular networks regarding practical limitations
AU - Sadati, Nasser
AU - Yousefi, Mansoor Isvand
PY - 2006/1/1
Y1 - 2006/1/1
N2 - In this paper, the intra-cell link adaptation problem is formulated as a constrained nonconvex nondifferentiable optimization problem to maximize the average link throughput while guaranteeing the best possible coverage reliability. We proceed to solve the resulted nonsmooth optimization problem using proximal point bundle method known in nondifferentiable optimization context. For this purpose, we first exploit the problem structure and reduce the original large scale optimization problem to a sequence of one-dimensional problems coordinated by a master program using direct primal decomposition technique. Proximal bundle method with aggregation policy is then adopted in master program to solve the so called dual problem, with subdifferential information already collected from each subproblem. Performance of our method: adaptive modulation/coding with power management (AMCWPM) using proposed algorithm is compared with that of an adaptive modulation/coding (AMC) with no power management. Simulation results show that the proposed method improves both the average link throughput and coverage reliability by more than 20% while in each case the other parameter (i.e. respectively, coverage reliability and average link throughput ) is hold as much as that of AMC.
AB - In this paper, the intra-cell link adaptation problem is formulated as a constrained nonconvex nondifferentiable optimization problem to maximize the average link throughput while guaranteeing the best possible coverage reliability. We proceed to solve the resulted nonsmooth optimization problem using proximal point bundle method known in nondifferentiable optimization context. For this purpose, we first exploit the problem structure and reduce the original large scale optimization problem to a sequence of one-dimensional problems coordinated by a master program using direct primal decomposition technique. Proximal bundle method with aggregation policy is then adopted in master program to solve the so called dual problem, with subdifferential information already collected from each subproblem. Performance of our method: adaptive modulation/coding with power management (AMCWPM) using proposed algorithm is compared with that of an adaptive modulation/coding (AMC) with no power management. Simulation results show that the proposed method improves both the average link throughput and coverage reliability by more than 20% while in each case the other parameter (i.e. respectively, coverage reliability and average link throughput ) is hold as much as that of AMC.
KW - Adaptive modulation/coding
KW - Bundle methods
KW - Decomposition techniques
KW - Nonsmooth nonconvex optimization
KW - Power distribution management
KW - Surrogate duality gap
U2 - 10.1109/ACC.2006.1657700
DO - 10.1109/ACC.2006.1657700
M3 - Conference contribution
AN - SCOPUS:34047206103
SN - 1424402107
SN - 9781424402106
T3 - Proceedings of the American Control Conference
SP - 6103
EP - 6107
BT - Proceedings of the 2006 American Control Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2006 American Control Conference, ACC 2006
Y2 - 14 June 2006 through 16 June 2006
ER -