Efficient WMMSE beamforming for 5G mmWave cellular networks exploiting the effect of antenna array geometries

被引:9
|
作者
Abdelhakam, Mostafa M. [1 ]
Elmesalawy, Mahmoud M. [1 ]
Mahmoud, Korany R. [1 ,2 ]
Ibrahim, Ibrahim I. [1 ]
机构
[1] Helwan Univ, Fac Engn, Dept Elect Commun & Comp, Cairo, Egypt
[2] Minist Commun & Informat Technol, Natl Telecommun Regulatory Author, Giza, Egypt
关键词
array signal processing; least mean squares methods; cellular radio; 5G mobile communication; bandwidth allocation; MIMO communication; quality of service; concave programming; convex programming; vectors; planar antenna arrays; WMMSE directional beamforming; 5G mmwave cellular network; millimetre wave transmission; mmwave transmission; fifth generation mmwave cellular network; mobile data service; high-dimensional antenna array geometry; downlink multiuser multiple-input multiple-output beamforming optimisation; per-user quality-of-service constraint; system utility maximisation; base station; nonconvex problem; weighted minimum mean square error; convex problem; block coordinate descent method; beamforming vector determination; planar array; circular array; CiA; conformal array; conical array; CoA; system power consumption; CHANNEL ESTIMATION; DOWNLINK;
D O I
10.1049/iet-com.2016.1471
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Millimetre wave (mmWave) transmission is considered as one of the potential technologies in fifth generation (5G) cellular networks that could allocate more bandwidth to support the rapid growth of mobile data services. However, mmWave signals experience large path loss which can overcome by employing directional beamforming with high-dimensional antenna arrays. In this study, a downlink multiuser multiple-input multiple-output beamforming optimisation problem is considered for maximising the system utility subject to per-user quality-of-service constraint as well as per-antenna and base station transmit power constraints. The difficulty of this problem lies in its non-convex nature. To address this challenge, a weighted minimum mean square error (WMMSE)-based solution is proposed to reformulate the non-convex problem into equivalent convex one. Then, the block coordinate descent method is used to determine beamforming vectors. Moreover, the different antenna array geometries either two-dimensional (2D) such as planar array and circular array (CiA), or 3D such as conformal array and conical array (CoA) are designed at the base station and their effect on the system performance is exploited. Extensive simulations show that the performance of the proposed WMMSE-based solution with CiA and CoA geometries outperforms the comparable algorithms in terms of system throughput, system power consumption and access rate.
引用
收藏
页码:169 / 178
页数:10
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