000			a
999			_c33053 _d33053
008			240319b xxu||||| |||| 00| 0 eng d
020			_a9783030021573
082			_a621.384 _bLEN
100			_aLe-Ngoc, Tho
245			_aHybrid massive mimo precoding in Cloud ran
260			_bSpringer, _c2019 _aCham :
300			_axvi, 149 p. ; _bill., _c25 cm.
365			_b119.99 _c€ _d93.50
490			_aWireless networks
504			_aIncludes bibliographical references.
520			_aThis book covers the design and optimization of hybrid RF-baseband precoding for massive multiple-input multiple-output (MIMO)-enabled cloud radio access networks (RANs), where use cases such as millimeter-wave wireless backhauling, fully-loaded cellular networks are of interest. The suitability and practical implementation of the proposed precoding solutions for the Cloud RAN architecture are also discussed. Novel techniques are examined for RF precoding optimization in combination with nonlinear precoding at baseband, and the superiority of joint RF-baseband design is verified. Moreover, the efficacy of hybrid RF-baseband precoding to combat intercell interference in a multi-cell environment with universal frequency reuse is investigated, which is concluded to be a promising enabler for the dense deployment of base stations. This book mainly targets researchers and engineers interested in the challenges, optimization, and implementation of massive MIMO precoding in 5G Cloud RAN. Graduate students in electrical engineering and computer science interested in the application of mathematical optimization to model and solve precoding problems in massive MIMO cellular systems will also be interested in this book.
650			_aCloud computing
650			_aMIMO systems
650			_aWireless communication systems
700			_aMai, Ruikai
942			_2ddc _cBK