TY - JOUR
T1 - Energy Efficiency Optimization for Irregular Repetition Slotted ALOHA-Based Massive Access
AU - Chen, Zhengchuan
AU - Feng, Yifan
AU - Tian, Zhong
AU - Jia, Yunjian
AU - Wang, Min
AU - Quek, Tony Q.S.
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61901066 and Grant 61971077; in part by the Natural Science Foundation of Chongqing, China, under Grant cstc2019jcyj-msxmX0575; in part by the State Key Laboratory of Integrated Services Networks (Xidian University) under Grant ISN22-17; and in part by the National Research Foundation, Singapore and Infocomm Media Development Authority under its Future Communications Research & Development Programme
Publisher Copyright:
© 2012 IEEE.
PY - 2022/5/1
Y1 - 2022/5/1
N2 - Irregular repetition slotted ALOHA (IRSA) is a promising mechanism to support massive access in Internet of Things (IoT). As IoT devices are usually battery capacity-limited, the energy efficiency (EE) should be paid close attention to when operating the IRSA scheme. This letter improves the EE of devices by adjusting the transmit power and maximum number of packet replicas based on two high-throughput transmission probability distributions of IRSA scheme. Specifically, the optimal transmit power and the optimal packet replica number are found explicitly following individual parameter optimizations. Based on the obtained individual optimums, an iterative algorithm is proposed for finding the global optimum quickly. Numerical results show that the EE of devices can be enhanced significantly by using the found optimums.
AB - Irregular repetition slotted ALOHA (IRSA) is a promising mechanism to support massive access in Internet of Things (IoT). As IoT devices are usually battery capacity-limited, the energy efficiency (EE) should be paid close attention to when operating the IRSA scheme. This letter improves the EE of devices by adjusting the transmit power and maximum number of packet replicas based on two high-throughput transmission probability distributions of IRSA scheme. Specifically, the optimal transmit power and the optimal packet replica number are found explicitly following individual parameter optimizations. Based on the obtained individual optimums, an iterative algorithm is proposed for finding the global optimum quickly. Numerical results show that the EE of devices can be enhanced significantly by using the found optimums.
UR - http://www.scopus.com/inward/record.url?scp=85124840268&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85124840268&partnerID=8YFLogxK
U2 - 10.1109/LWC.2022.3151931
DO - 10.1109/LWC.2022.3151931
M3 - Article
AN - SCOPUS:85124840268
SN - 2162-2337
VL - 11
SP - 982
EP - 986
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
IS - 5
ER -