MU-MIMO系统中联合功率分配和预编码设计的优化设计方案
Joint Optimal Power Allocation and Pre-Coding Design in MU-MIMO Network
摘要: 无线自组织网络具有布置灵活,不需要固定设备支持,可由其他用户节点代为进行数据转发的优势,在有紧急通信需求的恶劣环境下得到了广泛的应用,本文设计了一种包含中继节点的多用户多输入多输出(MU-MIMO)无线自组织网络,同时,利用半正定松弛(SDR)算法,研究了与之相应的最优化预编码方案。此外,考虑到实现最优预编码算法的高度复杂性,通过奇异值分解和块对角化,本文设计了两种次优化预编码方案作为最优方案的参照。仿真结果证明,本文设计的预编码方案能显著提高系统性能。
Abstract: The wireless ad hoc network has the advantages of flexible layout, non-essential for fixed equip-ment support and the information can be forwarded by other user nodes. It has been widely used in the harsh environment with emergency communication demand. This paper designs a MU-MIMO wireless ad-hoc network under the opportunistic relay scene. Then, the optimal pre-coding scheme is studied by using the semi-definite relaxation (SDR) algorithm. In addition, considering the high complexity of implementing the optimal solution, two sub-optimal pre-coding programs are also discussed, denoted as singular value decomposition and block diagonalization. Finally, the simulation results show that the optimal pre-coding scheme designed in this paper can improve the performance of the system.
文章引用:胡志明, 周笑笑. MU-MIMO系统中联合功率分配和预编码设计的优化设计方案[J]. 无线通信, 2018, 8(4): 198-208. https://doi.org/10.12677/HJWC.2018.84023

参考文献

[1] Sudevalayam, S. and Kulkarni, P. (2011) Energy Harvesting Sensor Nodes: Survey and Implications. IEEE Communications Surveys & Tutorials, 13, 443-461.
[Google Scholar] [CrossRef
[2] Chen, H., Xiao, L., Yang, D., Zhang, T. and Cuthbert, L. (2017) User Cooperation in Wireless Powered Communication Networks with a Pricing Mechanism. IEEE Access, 5, 16895-16903.
[Google Scholar] [CrossRef
[3] Yang, D.C., Zhu, C.Q., Xiao, L., Shen, X.M. and Zhang, T.K. (2016) An Energy-Efficient Scheme for Multirelay Cooperative Networks with Energy Harvesting. Mobile Information Systems, No. 5618935.
[4] Sadek, A.K., Liu, K.J.R. and Ephremides, A. (2007) Cognitive Multiple Access via Cooperation: Protocol Design and Stability Analysis. IEEE Transactions on Information Theory, 53, 3677-3696.
[Google Scholar] [CrossRef
[5] Grover, P. and Sahai, A. (2010) Shannon Meets Tesla: Wireless Information and Power Transfer. IEEE International Symposium on Information Theory (ISIT), Austin, 13-18 June 2010, 2363-2367.
[Google Scholar] [CrossRef
[6] Yang, D.C., Zhou, X.X., Xiao, L. and Wu, F.H. (2015) Energy Cooperation in Multi-Users Wireless-Powered Relay Networks. IET Communications, 9, 1412-1420.
[7] Chen, H., Xiao, L., Yang, D., Zhang, T. and Cuthbert, L. (2017) User Cooperation in Wireless Powered Communication Networks with a Pricing Mechanism. IEEE Access, 5, 16895-16903.
[Google Scholar] [CrossRef
[8] Liu, L., Zhang, R. and Chua, K.C. (2013) Wireless Information and Power Transfer: A Dynamic Power Splitting Approach. IEEE Transactions on Communications, 61, 3990-4001.
[Google Scholar] [CrossRef
[9] Khandaker, M.R.A. and Wong, K.K. (2014) QoS-Based Multicast Beamforming for SWIPT. 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking Workshops (SECON Workshops), Singapore, Singapore, 30 June-3 July 2014, 62-67.
[Google Scholar] [CrossRef
[10] Devroye, N., Mitran, P. and Tarokh, V. (2006) Achievable Rates in Cognitive Radio Channels. IEEE Transactions on Information Theory, 52, 1813-1827.
[Google Scholar] [CrossRef
[11] Yang, D.C. (2015) Wireless Information and Power Transfer: Optimal Power Control in One-Way and Two-Way Relay System. Wireless Personal Communications, 84, 1-14.
[Google Scholar] [CrossRef
[12] Yang, D.C., Zhou, X.X. and Xiao, L. (2015) Energy Cooperation in Multi-User Wireless-Powered Relay Networks. IET Communications, 9, 1412-1420.
[Google Scholar] [CrossRef
[13] Bi, S., Ho, C.K. and Zhang, R. (2015) Wireless Powered Communication: Opportunities and Challenges. IEEE Communications Magazine, 53, 117-125.
[Google Scholar] [CrossRef
[14] Grant, M. and Boyd, S. (2011) CVX: Matlab Software for Disciplined Convex Programming, Version 1.21. http://cvxr.com/cvx/