TY - GEN
T1 - Deep neural network based channel allocation for interference-limited wireless networks
AU - Zhang, Zhenfeng
AU - Zhai, Daosen
AU - Zhang, Ruonan
AU - Wang, Yutong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - Cooperative communication in wireless networks has received much attention in both academia and industry. How to effectively allocate and schedule radio resources to improve system performance becomes an important issue of cooperative communication. This paper mainly studies the ultra-low complexity wireless channel allocation algorithm for interference-limited networks. Firstly, we use the traditional sequential convex approximation (SCA) technique to design the channel allocation algorithm. Then, we utilize the characteristics of deep neural network (DNN) that can approximate a complex function with multiple layers of mapping to approximate the SCA-based algorithm. Based on DNN, we design an ultra-low complexity algorithm. Simulation results indicate that the DNN-based algorithm can achieve good performance with ultra-low computation time, which is a feature for practical application.
AB - Cooperative communication in wireless networks has received much attention in both academia and industry. How to effectively allocate and schedule radio resources to improve system performance becomes an important issue of cooperative communication. This paper mainly studies the ultra-low complexity wireless channel allocation algorithm for interference-limited networks. Firstly, we use the traditional sequential convex approximation (SCA) technique to design the channel allocation algorithm. Then, we utilize the characteristics of deep neural network (DNN) that can approximate a complex function with multiple layers of mapping to approximate the SCA-based algorithm. Based on DNN, we design an ultra-low complexity algorithm. Simulation results indicate that the DNN-based algorithm can achieve good performance with ultra-low computation time, which is a feature for practical application.
KW - cooperative communication
KW - deep neural network
KW - sequential convex approximation
KW - wireless channel allocation
UR - http://www.scopus.com/inward/record.url?scp=85071956093&partnerID=8YFLogxK
U2 - 10.1109/HPSR.2019.8808132
DO - 10.1109/HPSR.2019.8808132
M3 - 会议稿件
AN - SCOPUS:85071956093
T3 - IEEE International Conference on High Performance Switching and Routing, HPSR
BT - 2019 IEEE 20th International Conference on High Performance Switching and Routing, HPSR 2019
PB - IEEE Computer Society
T2 - 20th IEEE International Conference on High Performance Switching and Routing, HPSR 2019
Y2 - 26 May 2019 through 29 May 2019
ER -