Abstract
Compared with the traditional fixed relay assisted communication network, the mobile relay assisted wireless communication network has greater communication coverage and better flexibility. It enables to extend the lifetime of a communication system and improve the throughput of uses. Due to the time-varying nature of the actual communication environment and the existence of various interferences, there are uncertain factors in the communication channel that affect the quality of service of users. In this paper, we study the energy efficiency maximization problem based on power control, mobile relay selection, and subcarrier allocation under uncertain channel. The proposed mobile relay selection and subcarrier allocation algorithm improves the energy efficiency of the system while ensuring the normal communication of mobile users. Probabilistic constraints are introduced into the optimization problem to describe the uncertain channel, and after the mathematical transformation, it becomes a solvable form. The subcarrier allocation algorithm and distributed robust power control algorithm are also presented. Simulation results show that the improved system energy efficiency has been achieved and the proposed algorithm behaves better scalability and robustness under dynamic communication environment.
Highlights
In recent years, with the rapid development and employment of wireless Internet of Things(IoT) and data services in the industrial sectors such as in power systems, more and more intelligent devices are connected to the wireless network
The parameters used in the simulation are as follows: there are one base station, four indirect users, four direct users and seven idle users as candidates for mobile relay, eight available subcarriers
In this paper, we consider the energy efficiency maximization based on power allocation, mobile relay selection and subcarrier allocation with uncertain channels
Summary
With the rapid development and employment of wireless Internet of Things(IoT) and data services in the industrial sectors such as in power systems, more and more intelligent devices are connected to the wireless network. Literature [29] studies the resource joint optimization of subcarrier allocation, subcarrier pairing and power allocation, so as to maximize the energy efficiency of the system in the DF relay-assisted OFDMA system with untrusted users. In literature [33], to maximize the total energy efficiency of system in the mobile relay-assisted terminal straight through device-to-device (D2D) scenario, the combined power control, channel allocation and mobile relay selection schemes are proposed. This scheme assumes that the channel information is accurate and measurable, which is difficult to satisfy in the actual communication environment. The distributed algorithm effectively reduces the information exchange
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