Energy-Efficient Transceiver Design for Hybrid Sub-Array Architecture MIMO Systems

被引:84
作者
He, Shiwen [1 ,2 ]
Qi, Chenhao [1 ]
Wu, Yongpeng [3 ]
Huang, Yongming [1 ]
机构
[1] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China
[2] Guilin Univ Elect Technol, Key Lab Cognit Radio & Informat Proc, Minist Educ, Guilin 541004, Peoples R China
[3] Tech Univ Munich, Inst Commun Engn, Theresienstr 90, D-80333 Munich, Germany
基金
中国国家自然科学基金;
关键词
Millimeter-wave communication; multiple-input multiple-output (MIMO) system; analog precoding and combining; interference alignment; energy efficiency; MULTIUSER MIMO; SELECTION; CHANNELS;
D O I
10.1109/ACCESS.2017.2649539
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Millimeter-wave (mmWave) communication operated in frequency bands between 30 and 300 GHz has attracted extensive attention due to the potential ability of offering orders of magnitude greater bandwidths combined with further gains via beamforming and spatial multiplexing from multi element antenna arrays. mmwave system may exploit the hybrid analog and digital precoding to achieve simultaneously the diversity, array and multiplexing gain with a lower cost of implementation. Motivated by this, in this paper, we investigate the design of hybrid precoder and combiner with sub-connected architecture, where each radio frequency chain is connected to only a subset of base station antennas from the perspective of energy efficient transmission. The problem of interest is a non-convex and NP-hard problem that is difficult to solve directly. In order to address it, we resort to design a two-layer optimization method to solve the problem of interest by exploiting jointly the interference alignment and fractional programming First, the analog precoder and combiner are optimized via the alternating-direction optimization method where the phase shifter can be easily adjusted with an analytical structure. Then, we optimize the digital precoder and combiner based on an effective multiple-input multiple-output channel coefficient. The convergence of the proposed algorithms is proved using the monotonic boundary theorem and fractional programming theory. Extensive simulation results are given to validate the effectiveness of the presented method and to evaluate the energy efficiency performance under various system configurations.
引用
收藏
页码:9895 / 9905
页数:11
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