Robust beamforming based on transmit power analysis for multiuser multiple-input–single-output interference channels with energy harvesting

2016 ◽  
Vol 10 (10) ◽  
pp. 1221-1228 ◽  
Author(s):  
Zhengyu Zhu ◽  
Zhongyong Wang ◽  
Zheng Chu ◽  
Jianhua Cui ◽  
Xiangchuan Gao ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Power Analysis ◽  
Interference Channels ◽  
Robust Beamforming ◽  
Output Interference ◽  
Transmit Power ◽  
Single Output ◽  
Multiple Input

scholarly journals Secrecy Balancing over Two-User MISO Interference Channels with Rician Fading

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Jiqing Ni ◽  
Zesong Fei ◽  
Chengwen Xing ◽  
Di Zhao ◽  
Niwei Wang ◽  
...  
Keyword(s):  
Channel Model ◽  
Rician Fading ◽  
Interference Channels ◽  
Interference Channel ◽  
Secrecy Rate ◽  
Single Output ◽  
Multiple Input ◽  
Simulation Results ◽  
Rician Channel ◽  
Ergodic Secrecy Rate

This paper considers a 2-user multiple-input single-output (MISO) interference channel with confidential messages (IFC-CM), in which the Rician channel model is assumed. The coordinated beamforming vectors at the two transmitters have the similar parameterizations as those for perfect CSI, which could be optimized jointly and achieved by agreeing on the real parameters between the two users. Our main contribution is that a quadratic relationship between the two real-valued parameters can be derived for the Rician channel to reach the ergodic secrecy rate balancing point. Simulation results present the secrecy performance over the 2-user MISO IFC-CM scenario.

scholarly journals Distributed Beamforming and Power Allocation for Heterogeneous Networks with MISO Interference Channel

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2606
Author(s):  
Kisong Lee
Keyword(s):  
Power Allocation ◽  
Heterogeneous Networks ◽  
Computation Time ◽  
Primary User ◽  
Interference Channels ◽  
Interference Channel ◽  
Distributed Beamforming ◽  
Single Output ◽  
Multiple Input ◽  
High Computational Complexity

To address the limitations of centralized resource allocation, i.e., high computational complexity and signaling overhead, a distributed beamforming and power allocation strategy is proposed for heterogeneous networks with multiple-input-single-output (MISO) interference channels. In the proposed scheme, each secondary user transceiver pair (SU TP) determines the beamforming vector and transmits power to maximize its own spectral efficiency (SE) while keeping the interference to the primary user below a predetermined threshold, and such resource management for each SU TP is updated iteratively without any information sharing until the strategies for all SU TPs converge. The simulation confirms that the proposed scheme can achieve a performance comparable to that of a centralized approach with a much lower computation time, e.g., less than 5% degradation in SE while improving computation time by more than 10 times.

Comparative analysis of SISO and wavelength diversity-based FSO systems at different transmitter power levels

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Varun Srivastava ◽  
Abhilash Mandloi ◽  
Dhiraj Kumar Patel
Keyword(s):  
Optical Signal ◽  
Free Space Optical ◽  
Optical Source ◽  
Transmit Power ◽  
Single Input Single Output ◽  
Transmitter Power ◽  
Single Output ◽  
Communication Links ◽  
Single Input ◽  
Matching Performance

AbstractFree space optical (FSO) communication refers to a line of sight technology, which comprises optical source and detector to create a link without the use of physical connections. Similar to other wireless communication links, these are severely affected by losses that emerged due to atmospheric turbulence and lead to deteriorated intensity of the optical signal at the receiver. This impairment can be compensated easily by enhancing the transmitter power. However, increasing the transmitter power has some limitations as per radiation regulations. The requirement of high transmit power can be reduced by employing diversity methods. This paper presents, a wavelength-based diversity method with equal gain combining receiver, an effective technique to provide matching performance to single input single output at a comparatively low transmit power.

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