Energy-efficient resource allocation for multi-RAT networks under time average QoS constraint
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Energy-efficient resource allocation for multi-RAT networks under time average QoS constraint Guanhua Chai1,2 • Weihua Wu2 • Qinghai Yang2 • Runzi Liu3 • Meng Qin4 • Kyung Sup Kwak5
Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In this paper, we propose an energy-efficient resource allocation algorithm for multiple radio access technologies (multiRAT) networks, where the user equipments (UEs) transmit data over multiple radio interfaces for exploiting the complementary advantages of different RATs. In this scenario, the resource allocation is formulated as a stochastic energy efficiency (EE) maximization problem. More specifically, the time average quality of service constraint is considered to provide the flexible resource allocation over the time-varying fading channels. The virtual queue is introduced for each UE to deal with the time average transmission requirement. By adopting Lyapunov optimization technique and fractional programming theory, the non-concave EE maximization is converted into a mixed integer nonlinear optimization (MINO) problem. After that, the continuity relaxation and Lagrange dual methods are used to find the solution of the MINO problem. Then, we develop an EE-based dynamic joint subcarrier and power allocation algorithm, which does not require any prior knowledge of the channel state information. In addition, the performance bounds of the EE and virtual queue are provided. Our simulation results show that the performance of the proposed algorithm is better than other general algorithms. Keywords Energy efficiency QoS constraint Multi-RAT networks
4
School of Electronics and Computer Engineering, Peking University, and Shenzhen Pengcheng Laboratory, Shenzhen 518055, Guangdong, China
5
The Graduate School of Information Technology and Telecommunications, Inha University, #253 Yonghyun-dong, Nam-gu, Incheon 402-751, Korea
& Weihua Wu [email protected] Guanhua Chai [email protected] Runzi Liu [email protected] Meng Qin [email protected] Kyung Sup Kwak [email protected] 1
Science and Technology on Communication Network Laboratory, Shijiazhang, China
2
State Key Laboratory of ISN, School of Telecommunications Engineering, Xidian University, No.2 South Taibai Road, Xi’an 710071, Shaanxi, China
3
School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, Shaanxi, China
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Wireless Networks
1 Introduction Due to the rapid development of wireless networks, in addition to the radio access technology (RAT) of cellular network, many other RATs, for example, Mobile-Fi, WiMax, IEEE 802.11 wireless local area networks (WLAN)/WiFi and IEEE 802.15 wireless personal area networks (WPAN) have been introduced to support the communication between wireless devices. If the available resources among multiple RATs are jointly allocated, network performance (such as throughput, delay and power consumption) will be effectively improved [1, 2]. In particular, accordin
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