Title
Robust energy-efficient precoding optimization for dual-polarized multiuser MIMO downlink
Abstract
In this paper, we investigate the robust fairness-based energy efficiency (EE) optimization of the dual-polarized multiuser multiple-input multiple-output (MIMO) downlink. Exploiting the special dual-polarized antenna structure, the polarization-based subgrouping technique is adopted which enjoys low implementation complexity, low feedback overhead and good performance. Based on this, the proposed robust fairness-based EE precoding design aims at maximizing the minimum EE, i.e., the worst-case EE, achieved among all users with the norm bounded channel errors. Further, the formulated nonconvex EE optimization problem is transformed into a series of standard semidefinite programming (SDP) problems, which can be effectively solved by the convex optimization techinique. Simulation results demonstrate the robust EE performance advantages of the proposed polarization-based subgrouping precoding scheme.
Year
DOI
Venue
2017
10.1109/ICCChina.2017.8330371
2017 IEEE/CIC International Conference on Communications in China (ICCC)
Keywords
Field
DocType
Dual-polarized MIMO downlink,polarization-based subgrouping,energy efficiency,robust optimization
Mathematical optimization,Efficient energy use,Computer science,MIMO,Real-time computing,Robustness (computer science),Optimization problem,Convex optimization,Precoding,Semidefinite programming,Telecommunications link
Conference
ISBN
Citations 
PageRank 
978-1-5386-4503-1
1
0.38
References 
Authors
7
5
Name
Order
Citations
PageRank
shiqi gong1305.93
Chengwen Xing289173.77
Sheng Chen31035111.98
Nan (Jonas) Yang4144876.04
Yiqing Zhou597375.42