In order to reduce the radio frequency (RF) chains cost and satisfy the high capacity demand for communication systems, millimeter wave hybrid precoding with limited RF chains is proposed to make a tradeoff between hardware cost and system performance. In this work, we study the energy-efficient hybrid precoding design problem based on RF chains selection for a millimeter wave multi-user multiple-input multiple-output (MIMO) system. First, we use the predesigned analog precoding codebook to reformulate the original problem as a sparse digital precoding problem. Then we solve it iteratively using successive convex approximation (SCA) method combined with fractional programming method. The simulation results show that our proposed algorithm gives the performance very close to that of the exhaustive search and better than those of the other existed algorithms.
SUN Jihan
,
QIU Ling
. Energy-efficient hybrid precoding design based on RF chains selection for millimeter wave MIMO systems[J]. Journal of University of Chinese Academy of Sciences, 2018
, 35(5)
: 696
-703
.
DOI: 10.7523/j.issn.2095-6134.2018.05.017
[1] Rappaport T S, Sun S, Mayzus R, et al. Millimeter wave mobile communications for 5G cellular:It will work![J]. IEEE Access, 2013, 1:335-349.
[2] Méndez-Rial R, Rusu C, González-Prelcic N, et al. Hybrid MIMO architectures for millimeter wave communications:phase shifters or switches?[J]. IEEE Access, 2016, 4:247-267.
[3] Ayach O E, Rajagopal S, Abu-Surra S, et al. Spatially sparse precoding in millimeter wave MIMO systems[J]. IEEE Transactions on Wireless Communications, 2013, 13(3):1499-1513.
[4] Liang L, Xu W, Dong X. Low-complexity Hybrid precoding in massive multiuser MIMO systems[J]. IEEE Wireless Communications Letters, 2014, 3(6):653-656.
[5] Li G Y, Xu Z, Xiong C, et al. Energy-efficient wireless communications:tutorial, survey, and open issues[J]. IEEE Wireless Communications, 2011, 18(6):28-35.
[6] Pa Tervo O, Tran L N, Juntti M. Optimal energy-efficient transmit beamforming for multi-user MISO downlink[J]. IEEE Transactions on Signal Processing, 2015, 63(20):5574-5588.
[7] Shi Q, Razaviyayn M, Luo Z Q, et al. An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel[J]. IEEE Transactions on Signal Processing, 2011, 59(9):4331-4340.
[8] Garcia-Rodriguez A, Venkateswaran V, Rulikowski P, et al. Hybrid analog-digital precoding revisited under realistic RF modeling[J]. IEEE Wireless Communications Letters, 2016, 5(5):528-531.
[9] Ma C, Shi J, Huang N, et al. Energy-efficient hybrid precoding for millimeter wave systems in MIMO interference channels[C]//2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), Nanjing, 2016:1-5.
[10] Zi R, Ge X, Thompson J, et al. Energy efficiency optimization of 5G radio frequency chain systems[J]. IEEE Journal on Selected Areas in Communications, 2016, 34(4):758-771.
[11] Shi Y, Zhang J, Letaief K B. Group sparse beamforming for green cloud-RAN[J]. IEEE Transactions on Wireless Communications, 2014, 13(5):2809-2823.
[12] Dai B, Yu W. Sparse beamforming and user-centric clustering for downlink cloud radio access network[J]. IEEE Access, 2014, 2:1326-1339.
[13] Liang L, Xu W, Dong X. Low-complexity hybrid precoding in massive multiuser MIMO systems[J]. IEEE Wireless Communications Letters, 2014, 3(6):653-656.
[14] MacCartney G R, Samimi M K, Rappaport T S. Omnidirectional path loss models in New York city at 28 GHz and 73 GHz[C]//2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC), Washington DC, 2014:227-231.
[15] Love D J, Heath R W. Equal gain transmission in multiple-input multiple-output wireless systems[J]. IEEE Transactions on Communications, 2003, 51(7):1102-1110.
[16] Dong Y, Huang Y, Qiu L. Energy-efficient sparse beamforming for multiuser MIMO systems with nonideal power amplifiers[J]. IEEE Transactions on Vehicular Technology, 2017, 66(1):134-145.
[17] Schaible S, Ibaraki T. Fractional programming[J]. European Journal of Operational Research, 1983, 12(4):325-338.
[18] Beck A, Ben-Tal A, Tetruashvili L. A sequential parametric convex approximation method with applications to nonconvex truss topology design problems[J]. Journal of Global Optimization, 2010, 47(1):29-51.