TY - CHAP
T1 - Analysis of Age of Information in Wireless Communication Networks
AU - Perera, Tharindu D.Ponnimbaduge
AU - Jayakody, Dushantha Nalin K.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - The exponential growth of Internet-of-Things (IoT) applications in next-generation communications has led to increasingly connected devices in the communication infrastructures. These connected devices are responsible to generate and exchange information within different entities of the communication setup to support decision taking processes in IoT applications. Emergence of diverse IoT applications (i.e., intelligent transportation systems, smart environmental applications, Tactile Internet applications, etc.) required the information freshness at the edge users to be increased much as possible. Thus, it is essential to maintain freshness of the information received since outdated information can jeopardize reliability of the system output given rise to safety risks. Data freshness at the destination is a quite difficult objective to achieve in wireless communication. It is also noteworthy that data freshness is different and goes beyond the latency. As a contribution in this direction, this book chapter defines the basic building block of the new performance metric named age of information. It begins with an introduction to AoI, and then it is shown the way AoI can be modeled for simultaneous wireless information and power transfer (SWIPT)-enabled cooperative communication network considering hardware impairments. Next, we investigate the relationship of AoI with other traditional performance metrics such as outage probability and throughput. Then, we optimize resource allocation of the SWIPT-enabled communication setup to improve AoI performance adhering to the quality-of-service (QoS) requirements. Finally, important future directions of AoI toward beyond 5G are provided along with conclusion remarks.
AB - The exponential growth of Internet-of-Things (IoT) applications in next-generation communications has led to increasingly connected devices in the communication infrastructures. These connected devices are responsible to generate and exchange information within different entities of the communication setup to support decision taking processes in IoT applications. Emergence of diverse IoT applications (i.e., intelligent transportation systems, smart environmental applications, Tactile Internet applications, etc.) required the information freshness at the edge users to be increased much as possible. Thus, it is essential to maintain freshness of the information received since outdated information can jeopardize reliability of the system output given rise to safety risks. Data freshness at the destination is a quite difficult objective to achieve in wireless communication. It is also noteworthy that data freshness is different and goes beyond the latency. As a contribution in this direction, this book chapter defines the basic building block of the new performance metric named age of information. It begins with an introduction to AoI, and then it is shown the way AoI can be modeled for simultaneous wireless information and power transfer (SWIPT)-enabled cooperative communication network considering hardware impairments. Next, we investigate the relationship of AoI with other traditional performance metrics such as outage probability and throughput. Then, we optimize resource allocation of the SWIPT-enabled communication setup to improve AoI performance adhering to the quality-of-service (QoS) requirements. Finally, important future directions of AoI toward beyond 5G are provided along with conclusion remarks.
KW - Age of information
KW - Amplify-and-forward relay
KW - Data freshness
KW - Hardware impairment
KW - Power transfer
KW - Simultaneous wireless information
UR - http://www.scopus.com/inward/record.url?scp=85135588617&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-03880-8_7
DO - 10.1007/978-3-031-03880-8_7
M3 - Chapter
AN - SCOPUS:85135588617
T3 - Unmanned System Technologies
SP - 127
EP - 151
BT - Unmanned System Technologies
PB - Springer
ER -