TY - GEN
T1 - Channel allocation and power control scheme over interference channels with QoS constraints
AU - Zhang, Limin
AU - Sun, Jian
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/4
Y1 - 2017/8/4
N2 - The channel allocation and power control problem for multiple control loops over interference channels is investigated. A scheduler allocates the wireless channels and controls transmitting power based on observed channel conditions. The strategy can guarantee a QoS performance and minimize the average transmitting power simultaneously. The problem is formulated as an optimization problem and is solved by an ascent subgradient method. An offline algorithm to find the optimal allocation policy is put forward. Whereas, the algorithm is hard to be implemented in practice for requiring the channel distribution. Therefore, a stochastic subgradient ascent algorithm which is based on current observed channel state is proposed. It is proved that the stochastic optimal value converges almost surely to the optimal value. A numerical example illustrates the efficiency of the proposed method.
AB - The channel allocation and power control problem for multiple control loops over interference channels is investigated. A scheduler allocates the wireless channels and controls transmitting power based on observed channel conditions. The strategy can guarantee a QoS performance and minimize the average transmitting power simultaneously. The problem is formulated as an optimization problem and is solved by an ascent subgradient method. An offline algorithm to find the optimal allocation policy is put forward. Whereas, the algorithm is hard to be implemented in practice for requiring the channel distribution. Therefore, a stochastic subgradient ascent algorithm which is based on current observed channel state is proposed. It is proved that the stochastic optimal value converges almost surely to the optimal value. A numerical example illustrates the efficiency of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=85029902333&partnerID=8YFLogxK
U2 - 10.1109/ICCA.2017.8003161
DO - 10.1109/ICCA.2017.8003161
M3 - Conference contribution
AN - SCOPUS:85029902333
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 794
EP - 798
BT - 2017 13th IEEE International Conference on Control and Automation, ICCA 2017
PB - IEEE Computer Society
T2 - 13th IEEE International Conference on Control and Automation, ICCA 2017
Y2 - 3 July 2017 through 6 July 2017
ER -