scholarly journals Harvested Energy and Spectral Efficiency Trade-offs in Multicell MIMO Wireless Networks

2019 ◽  
Vol 27 (1) ◽  
pp. 331-339 ◽  
Author(s):  
T. N. Ha ◽  
H. H. Kha
Keyword(s):  
Wireless Networks ◽  
Spectral Efficiency ◽  
Trade Offs ◽  
Multicell Mimo

scholarly journals Fundamental trade-offs on green wireless networks

2011 ◽  
Vol 49 (6) ◽  
pp. 30-37 ◽  
Author(s):  
Yan Chen ◽  
Shunqing Zhang ◽  
Shugong Xu ◽  
Geoffrey Li
Keyword(s):  
Wireless Networks ◽  
Trade Offs

Delay and Capacity Trade-offs in Mobile Wireless Networks with Infrastructure Support

2012 ◽  
Vol 27 (2) ◽  
pp. 328-340 ◽  
Author(s):  
Zhuo Li ◽  
Wen-Zhong Li ◽  
Song Guo ◽  
Sang-Lu Lu ◽  
Dao-Xu Chen
Keyword(s):  
Wireless Networks ◽  
Mobile Wireless Networks ◽  
Mobile Wireless ◽  
Trade Offs

scholarly journals Energy Efficiency and Spectral Efficiency Tradeoff in Massive MIMO Multicast Transmission with Statistical CSI

Entropy ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 1045
Author(s):  
Bin Jiang ◽  
Bowen Ren ◽  
Yufei Huang ◽  
Tingting Chen ◽  
Li You ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Power Allocation ◽  
Spectral Efficiency ◽  
Massive Mimo ◽  
Communication Systems ◽  
Multicast Transmission ◽  
Transmission Strategy ◽  
Trade Offs ◽  
Core Technology ◽  
System Resource

As the core technology of 5G mobile communication systems, massive multi-input multi-output (MIMO) can dramatically enhance the energy efficiency (EE), as well as the spectral efficiency (SE), which meets the requirements of new applications. Meanwhile, physical layer multicast technology has gradually become the focus of next-generation communication technology research due to its capacity to efficiently provide wireless transmission from point to multipoint. The availability of channel state information (CSI), to a large extent, determines the performance of massive MIMO. However, because obtaining the perfect instantaneous CSI in massive MIMO is quite challenging, it is reasonable and practical to design a massive MIMO multicast transmission strategy using statistical CSI. In this paper, in order to optimize the system resource efficiency (RE) to achieve EE-SE balance, the EE-SE trade-offs in the massive MIMO multicast transmission are investigated with statistical CSI. Firstly, we formulate the eigenvectors of the RE optimization multicast covariance matrices of different user terminals in closed form, which illustrates that in the massive MIMO downlink, optimal RE multicast precoding is supposed to be done in the beam domain. On the basis of this viewpoint, the optimal RE precoding design is simplified into a resource efficient power allocation problem. Via invoking the quadratic transform, we propose an iterative power allocation algorithm, which obtains an adjustable and reasonable EE-SE tradeoff. Numerical simulation results reveal the near-optimal performance and the effectiveness of our proposed statistical CSI-assisted RE maximization in massive MIMO.

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