Abstract
Wireless regional area network (WRAN) adopts centralized network architecture and is currently one of the most typical cognitive radio networks. In order to reduce the energy consumption of the communication networks with the constraint of spectrum resource utilization, a working sleep mechanism is introduced into the base station (BS), and a novel energy saving strategy with dual rate transmission is proposed. Combining the multiple-vacation queue and priority queue, using the quasi-birth-death process and the matrix-geometric solution method, we assess the average latency and the forced termination probability of secondary user packets, as well as the energy saving ratio and the channel utilization of system. Based on the revenue-expenditure structure, a profit function is built, and then the Nash equilibrium behavior and the socially optimal behavior are investigated. With the help of the particle swarm optimization, an intelligent optimization algorithm to search the socially optimal arrival rate of secondary user packets is presented. In order to unify the arrival rates of secondary user packets with Nash equilibrium and social optimization, a reasonable pricing policy is formulated. In addition, system experiments are carried out to verify the effectiveness of the energy saving strategy and the rationality of the pricing policy.
Highlights
With the rapid development of wireless communication technology, wireless networks play an increasingly important role in various fields, and their users and services are explosive growth
A new dual rate transmission strategy is proposed to reduce the energy consumption of communication networks for wireless regional area networks based on IEEE 802.22 standard
Under the constraint of spectrum resource utilization, energy savings are realized by introducing the sleep mechanism into the base station (BS) of the network
Summary
With the rapid development of wireless communication technology, wireless networks play an increasingly important role in various fields, and their users and services are explosive growth. In order to achieve maximal revenue and social welfare, Tran et al studied a price-based spectrum access control in cognitive radio networks [16]. The energy consumption of the BS is approximately in line with the central processing unit utilization, so the most direct method of conserving energy is to operate the BS at lower voltage and frequency These will reduce the speed of the packets. Integrating theories of multiple working vacations queue and priority queue, considering the number of cognitive user packets and state of BS, and using quasi-birth-death process and the matrix-geometric solution method in this paper, the system performance of the energy saving strategy is evaluated and the Nash equilibrium and socially optimal behavior of energy saving strategy are analyzed using game theory thought. An intelligent optimization algorithm is presented to search the socially optimal arrival rate of SU packets based on the revenue-expenditure structure, and a reasonable pricing scheme is formulated to unify the individually and socially optimal arrival rates
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