TY - GEN
T1 - Distributed power control and coding-modulation adaptation in wireless networks using annealed Gibbs sampling
AU - Zhou, Shan
AU - Wu, Xinzhou
AU - Ying, Lei
PY - 2012/6/4
Y1 - 2012/6/4
N2 - In wireless networks, the transmission rate of a link is determined by received signal strength, interference from simultaneous transmissions, and available coding-modulation schemes. Rate allocation is a key problem in wireless network design, but a very challenging problem because: (i) wireless interference is global, i.e., a transmission interferes all other simultaneous transmissions, and (ii) the rate-power relation is non-convex and non-continuous, where the discontinuity is due to limited number of coding-modulation choices in practical systems. In this paper, we consider a realistic Signal-to-Interference-and-Noise-Ratio (SINR) based interference model, and assume continuous power space and finite rate options (coding-modulation choices). We propose a distributed power control and coding-modulation adaptation algorithm using annealed Gibbs sampling, which achieves throughput optimality in an arbitrary network topology.
AB - In wireless networks, the transmission rate of a link is determined by received signal strength, interference from simultaneous transmissions, and available coding-modulation schemes. Rate allocation is a key problem in wireless network design, but a very challenging problem because: (i) wireless interference is global, i.e., a transmission interferes all other simultaneous transmissions, and (ii) the rate-power relation is non-convex and non-continuous, where the discontinuity is due to limited number of coding-modulation choices in practical systems. In this paper, we consider a realistic Signal-to-Interference-and-Noise-Ratio (SINR) based interference model, and assume continuous power space and finite rate options (coding-modulation choices). We propose a distributed power control and coding-modulation adaptation algorithm using annealed Gibbs sampling, which achieves throughput optimality in an arbitrary network topology.
UR - http://www.scopus.com/inward/record.url?scp=84861617981&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861617981&partnerID=8YFLogxK
U2 - 10.1109/INFCOM.2012.6195750
DO - 10.1109/INFCOM.2012.6195750
M3 - Conference contribution
AN - SCOPUS:84861617981
SN - 9781467307758
T3 - Proceedings - IEEE INFOCOM
SP - 3016
EP - 3020
BT - 2012 Proceedings IEEE INFOCOM, INFOCOM 2012
T2 - IEEE Conference on Computer Communications, INFOCOM 2012
Y2 - 25 March 2012 through 30 March 2012
ER -