Author:
Ling Cen,Yin Xuefeng,Boqué Silvia Ruiz,García-Lozano Mario
Abstract
Abstract
Cooperative communication with spectrum sharing has been proved to be an efficient way to reduce energy consumption. In this work, an optimal power allocation algorithm is proposed for mobile cooperative beamforming networks, where several secondary users (SUs) collaboratively act as relay nodes to assist the transmission of a primary user (PU) in reward of transmitting their own information. The optimal power allocation scheme is obtained by solving a convex optimization problem aiming at minimizing network energy consumption with guaranteed quality of service (QoS) for both PU and SUs. Simulation results show that with the consideration of overheads, circuit power, and energy costs for message sharing, a cooperative beamforming network augmented with our proposed power allocation algorithm performs better in scenarios of more SUs in terms of higher energy efficiency and less power consumption per unit throughput. Additionally, the proposed scheme outperforms the conventional best-relay selection approach in the aspects of power consumption per unit throughput, energy efficiency, and network power consumption. Furthermore, simulations also demonstrate that the derived cooperative beamforming algorithm exhibits superior performance in energy saving than conventional methods in high-speed scenarios.
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Signal Processing
Reference42 articles.
1. J Andrews, S Buzzi, W Choi, S Hanly, A Lozano, A Soong, J Zhang, What will 5G be. IEEE J. Sel. Areas Commun. 32, 1065–1082 (2014).
2. I C-Lin, C Rowell, S Han, Z Xu, G Li, Z Pan, Toward green and soft: a 5G perspective. IEEE Commun. Mag. 52, 66–73 (2014).
3. P Demestichas, A Georgakopoulos, D Karvounas, K Tsagkaris, V Stavroulaki, J Lu, C Xiong, J Yao, 5G on the horizon: key challenges for the radio-access network. IEEE Veh. Technol. Mag. 8, 47–53 (2013).
4. S Chen, J Zhao, The requirements, challenges, and technologies for 5G of terrestrial mobile telecommunication. IEEE Commun. Mag. 52, 36–43 (2014).
5. Y Wu, Y Chen, J Tang, D So, Z Xu, C-L I, P Ferrand, J-M Gorce, C-H Tang, P-R Li, K-T Feng, L-C Wang, K Borner, L Thiele, Green transmission technologies for balancing the energy efficiency and spectrum efficiency trade-off. IEEE Commun. Mag. 52, 112–120 (2014).
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Effective Spectrum Sharing Methods in Cognitive Radio MIMO Networks in 5G Communication;Algorithms for Intelligent Systems;2023
2. 5G Technology : A Survey of Architecture and Emerging Technologies;International Journal of Scientific Research in Science and Technology;2016-11-01
3. Enabling 5G mobile wireless technologies;EURASIP Journal on Wireless Communications and Networking;2015-09-26