基於髒紙編碼之多用戶多天線混合波束成形系統之排程設計

Scheduling for MU-MIMO using Hybrid Beamforming based on DPC

Alessandro Traspadini(Alessandro Traspadini)

指導教授 ： 蘇炫榮 教授 ； Michele Zorzi

國立臺灣大學/電機資訊學院/電信工程學研究所/碩士(2021年)

https://doi.org/10.6342/NTU202102944

摘要

none

關鍵字

混和式波束成型 ； 第五代行動通訊 ； 毫米波 ； 多使用者多重輸入多重輸出 ； 下行通訊 ； 用戶排程 ； 貪婪演算法

並列摘要

Future wireless networks will require to transfer much greater amount of data at much higher speed.
To deal with this fast-increasing demand of higher data rate and low latency, the carrier frequency needs to be increased in order to expand the bandwidth available for the transmissions. This is the reason why wireless communications are moving towards mmWave (5G) and even TeraHertz (6G) frequency bands.
Increasing the carrier frequency will provide a wider bandwidth, nevertheless an optimal PHY layer scheme is necessary to increase the spectral efficiency.
These promising technologies however come at a cost, the higher frequency yields limitations on the propagations of the signals in the environment.
To address this problem, highly directional beamforming is exploited to increase the antennas’ gain.
This thesis will propose a solution for the scheduling of MU-MIMO system by employing Hybrid Beamforming based on Dirty Paper Coding.
The Hybrid precoder consists of a digital baseband precoder and an analog RF precoder, in this way it reduces the hardware complexity and the power consumption.

並列關鍵字

DPC ； Hybrid Beamforming ； 5G ； mmWave ； MU-MIMO ； Downlink ； Antenna Arrays ； Users' scheduling ； Greedy Algorithms

參考文獻

[1] Mustafa Riza Akdeniz et al. “Millimeter Wave Channel Modeling and Cellular Capacity Evaluation”. In: IEEE Journal on Selected Areas in Communications 32.6 (2014), pp. 1164–1179. DOI: 10.1109/JSAC.2014.2328154.

[2] Omar El Ayach et al. “Spatially Sparse Precoding in Millimeter Wave MIMO Systems”. In: IEEE Transactions on Wireless Communications 13.3 (2014), pp. 1499–1513. DOI: 10.1109/TWC.2014.011714.130846.

[3] Mingming Cai. “Modeling and Mitigating Beam Squint in Millimeter Wave Wireless Communication”. PhD thesis. University of Notre Dame, Mar. 2018

[4] G. Caire and S. Shamai. “On the achievable throughput of a multiantenna Gaussian broadcast channel”. In: IEEE Transactions on Information Theory 49.7 (2003), pp. 1691–1706. DOI: 10.1109/TIT.2003.813523.

[5] Yong Soo Cho et al. “MultiUser MIMO”. In: MIMO-OFDM Wireless Communications with MATLAB®. 2010, pp. 395–417. DOI: 10.1002/9780470825631.ch13.