Power allocation for downlink path-based precoding in multiuser FDD massive MIMO systems without CSI feedback

Hsu, Chin-Wei; Tang, Ming-Fu; Su, Borching

doi:10.1109/acssc.2016.7869023

Cited by 1 publication

(1 citation statement)

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“…This approach [10] reduces the computational complexity of transmission compared with the other systems [11]. Because additional interference constraints in the system, the water-filling algorithms are always performed iteratively to solve the power allocation problems in the system along with the system complexity [12]- [13]. In this paper, we are simulating a direct power allocation method for achieving better throughput with optimal power allocation in Physical Downlink Shared Channel .…”

Section: Introductionmentioning

confidence: 99%

Improving MIMO system throughput using power transmission scheduling

Sk¹,

Venkateswararao²,

Kn³

et al. 2018

IJET

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The main idea of this paper is to select the best power allocation throughput model by simulating the different power allocation theoretical modules in MIMO arbitrary multipath environment to address the effects of channel parameters on throughput. In general, power allocation techniques are used for minimizing the overall Bit Error Rate (BER). In this process, the channel estimation is usually done at the receiver by accessing the Channel State Information (CSI). The optimized system can be designed with respect to channel parameters so that it can be suitable for transmitter side during power allocation. The simulation analysis is carried out in NI LabVIEW and it is observed from the studies that the throughput results are as a function of received power. Under static system parameters, the relative throughput of the water filling (WF) power allocation model is found to be high efficient 15.74% when it is compared with the open loop zero-forcing (ZF) and it is 4.45 % with respect to inverse singular value decomposition (SVD) equal power allocation models.

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Section: Introductionmentioning

confidence: 99%