Distributed energy efficiency beamforming design in multiple-input-single-output interference channels

2016 ◽  
Vol 10 (15) ◽  
pp. 1964-1970
Author(s):  
Hongbo Xu ◽  
Jun Liu ◽  
Aizhi Zhou
Keyword(s):  
Energy Efficiency ◽  
Interference Channels ◽  
Output Interference ◽  
Distributed Energy ◽  
Single Output ◽  
Multiple Input

scholarly journals On the Trade-Off between Energy Efficiency and Spectral Efficiency in RIS-Aided Multi-User MISO Downlink

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1307
Author(s):  
Meng Zhang ◽  
Le Tan ◽  
Kelin Huang ◽  
Li You
Keyword(s):  
Energy Efficiency ◽  
Spectral Efficiency ◽  
Low Cost ◽  
Base Station ◽  
Trade Off ◽  
Optimization Framework ◽  
Single Output ◽  
Multiple Input ◽  
Fast Convergence Rate ◽  
Simulation Results

As reconfigurable intelligent surfaces (RISs) have been gradually brought to reality, a large amount of research has been conducted to investigate the immense benefits of RISs. That is because RISs enable us to artificially direct the radio wave propagating through the environment at a relatively low cost. This paper investigates the trade-off between spectral efficiency (SE) and energy efficiency (EE) in the RIS-aided multi-user multiple-input single-output downlink. We develop an optimization framework for designing the transmitting precoding at the base station and the phase shift values at the RIS to balance the EE-SE trade-off. The proposed iterative optimization framework for the design includes quadratic transform, alternating optimization, and weighted minimization mean-square error conversion. Simulation results illustrate our optimization framework algorithm exhibits effectiveness and a fast convergence rate.

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.

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