TY - GEN
T1 - Solving nonconvex power control problems in wireless networks
T2 - GLOBECOM'05: IEEE Global Telecommunications Conference, 2005
AU - Tan, Chee Wei
AU - Palomar, Daniel P.
AU - Chiang, Mung
PY - 2005
Y1 - 2005
N2 - In wireless cellular networks that are interference-limited, a variety of power control problems can be formulated as nonlinear optimization with a system-wide objective subject to many QoS constraints from individual users. Previous work have been done in the high SIR regime by solving these problems with nonlinear objectives and constraints as geometric programs. However, in the medium to low SIR regime, these problems cannot be transformed into tractable convex optimization problems. This paper makes two contributions: (1) In the low SIR regime, we propose a method with centralized computation to obtain the globally optimal solution by solving a series of geometric programs. (2) While efficient and robust algorithms have been extensively studied for centralized solutions of geometric programs, distributed algorithms have not been investigated before this paper. We present a systematic method of distributed algorithms for power control based on geometric programs in high SIR regime. These two contributions can be readily combined to distributively solve nonlinear power control problems in general SIR regime.
AB - In wireless cellular networks that are interference-limited, a variety of power control problems can be formulated as nonlinear optimization with a system-wide objective subject to many QoS constraints from individual users. Previous work have been done in the high SIR regime by solving these problems with nonlinear objectives and constraints as geometric programs. However, in the medium to low SIR regime, these problems cannot be transformed into tractable convex optimization problems. This paper makes two contributions: (1) In the low SIR regime, we propose a method with centralized computation to obtain the globally optimal solution by solving a series of geometric programs. (2) While efficient and robust algorithms have been extensively studied for centralized solutions of geometric programs, distributed algorithms have not been investigated before this paper. We present a systematic method of distributed algorithms for power control based on geometric programs in high SIR regime. These two contributions can be readily combined to distributively solve nonlinear power control problems in general SIR regime.
UR - http://www.scopus.com/inward/record.url?scp=33846584626&partnerID=8YFLogxK
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U2 - 10.1109/GLOCOM.2005.1578413
DO - 10.1109/GLOCOM.2005.1578413
M3 - Conference contribution
AN - SCOPUS:33846584626
SN - 0780394143
SN - 9780780394148
T3 - GLOBECOM - IEEE Global Telecommunications Conference
SP - 3445
EP - 3450
BT - GLOBECOM'05
Y2 - 28 November 2005 through 2 December 2005
ER -