| The Internet of Things(Io T)will tightly integrate our physical world into computer networks by connecting billions of things,such as small sensors,wearables,vehicles,and actuators,to the Internet.This global revolution has transformed our cities and factories into smarter,more connected digital communities.Many services in the Io T rely on valid source state information for proper working.Therefore it is more and more important to transmit information in a timely and efficiently in Io T.The Age of Information(Ao I)brings a new performance indicator for real-time applications in Io T and mobile communication networks.Compared with time delay,age of information can more accurately describe the real-time state and freshness of data.This indicator combines the interval generation time between two update packets and the transmission delay of each packet,which can completely describe the process of obtaining status updates.On the other hand,the wireless communication network carrying the applications mentioned above often need to improve transmission efficiency to meet the requirements of business with energy consumption constraint.Buffer-aided relay can effectively improve the resource utilization and transmission quality of sensor networks by reducing the energy consumption of mobile devices and enhancing link quality.This paper considered the impact of communication resources on the age in buffer-aided relay networks.In addition,adaptive buffer-aided wireless relay communications with mixed status update and throughput traffic is considered.The first work in this paper considered a three-node wireless relay communication network based on Ao I-aware policy.It is assumed that the update packets generated by the source node obey a random process and are transmitted to the destination through a buffer-aided relay.The optimization problem is formed to minimize the long-term average Ao I under source and relay node transmit power constraints,data queue stability constraints,and channel capacity constraints.Under the Lyapunov optimization framework,adaptive buffer-aided wireless relaying scheme is obtained.It will be jointly adjusted in order to minimize the long-term averaged Ao I performance according to the underlying channel state information(CSI),the buffer state information(BSI),the energy-consumption status information(ESI)of all nodes,as well as the Ao I status information(ASI)of the destination.The achievable region of minimum long-term average Ao I for buffer-aided wireless relay communication system is revealed,as well as the impact on achievable Ao I for packet generation rate,source and relay energy consumption constraints,and other factors.It is also verified that the Ao I-aware transmission scheme can still ensure system stability under heavy system load.The Ao I-aware buffer-aided wireless relay network communication system has advantage in Ao I performance compared to the buffer-aided wireless relay network communication system.The impact of two-hop link heterogeneity on the age of information is also discussed.This work provides theoretical guidance and practical reference for solving Ao I problems in Io T communication system.The second work in this paper considered a buffer-aided relay communication system carrying mixed traffic.The possible requirements for the hybrid business are formed and the optimal design of the adaptive relaying is proposed.Our analysis shows that there are differences in the buffer-aided transmission for timely throughput traffic and status update services.The Ao I service requirement by status update traffic has a significant impact on the achievable throughput performance of the throughput traffic.the Ao I service requirement by status update traffic has a significant impact on the achievable throughput performance of the throughput traffic.In summary,the research work in this paper revolves around information Ao I-aware bufferaided relay networks,and the analysis involve efficient information age-aware and hybrid service transmission schemes,respectively. |