scholarly journals An Improved Robust Beamforming Design for Cognitive Multiantenna Relay Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-11
Author(s):  
Lulu Zhao ◽  
Guang Liang ◽  
Huijie Liu
Keyword(s):  
Computational Complexity ◽  
Channel Capacity ◽  
Relay Networks ◽  
Robust Beamforming ◽  
Worst Case ◽  
Channel Response ◽  
Cognitive Relay Networks ◽  
Simulation Results ◽  
Optimal Beamforming ◽  
Response Vector

This paper investigates the robust relay beamforming design for the multiantenna nonregenerative cognitive relay networks (CRNs). Firstly, it is proved that the optimal beamforming matrix could be simplified as the product of a variable vector and the conjugate transposition of a known channel response vector. Then, by exploiting the optimal beamforming matrix with simplified structure, an improved robust beamforming design is proposed. Analysis and simulation results show that, compared with the existing suboptimal scheme, the proposed method can achieve higher worst-case channel capacity with lower computational complexity.

Efficient Beam-Forming for Maximum Outage of Cognitive Relay Networks

2014 ◽  
Vol 926-930 ◽  
pp. 2321-2324
Author(s):  
Zi Jun Liu ◽  
Zhan Gao ◽  
Guo Xin Li ◽  
Hai Tao Zhang
Keyword(s):  
Mean Square Error ◽  
Multiple Antennas ◽  
Minimum Mean Square Error ◽  
Relay Networks ◽  
Beam Forming ◽  
Mean Square ◽  
Cognitive Relay Networks ◽  
Optimal Beam ◽  
Simulation Results ◽  
Theoretical Results

We consider the scenario of cognitive relay networks, where the cognitive relay is equipped with multiple antennas and the cognitive destinations have only one antenna due to the size and cost limitations. Aiming to maximize the signal-to-interference noise ratio (SINR), we develop the optimal beam-forming scheme for the relay case. The proposed scheme is based on minimum mean square error (MMSE). The theoretical results are validated by simulations. Simulation results show that the proposed scheme has a considerable performance.

A Unitary-UCA-Root-MUSIC Algorithm Based on MSWF

2014 ◽  
Vol 610 ◽  
pp. 339-344
Author(s):  
Qiang Guo ◽  
Yun Fei An
Keyword(s):  
Computer Simulation ◽  
Computational Complexity ◽  
Real Time ◽  
Unitary Transformation ◽  
Wiener Filter ◽  
Doa Estimation ◽  
Signal Subspace ◽  
Music Algorithm ◽  
Multi Stage ◽  
Simulation Results

A UCA-Root-MUSIC algorithm for direction-of-arrival (DOA) estimation is proposed in this paper which is based on UCA-RB-MUSIC [1]. The method utilizes not only a unitary transformation matrix different from UCA-RB-MUSIC but also the multi-stage Wiener filter (MSWF) to estimate the signal subspace and the number of sources, so that the new method has lower computational complexity and is more conducive to the real-time implementation. The computer simulation results demonstrate the improvement with the proposed method.

scholarly journals Modified MIMO Cube for Enhanced Channel Capacity

2012 ◽  
Vol 2012 ◽  
pp. 1-10
Author(s):  
Lajos Nagy
Keyword(s):  
Frequency Dependence ◽  
Channel Capacity ◽  
Indoor Environment ◽  
Antenna System ◽  
Mimo Antenna ◽  
Simulation Results

This paper deals with the optimization of MIMO antenna elements' position in modified MIMO cube for getting maximal channel capacity in indoor environment. The dependence of the channel capacity on the antenna orientation was analyzed by simulations. We have also examined the effect of the frequency dependence of the antenna system (in case of conjugate matching and nonconjugate matching) for the channel capacity. Based on the simulation results in the created and measured antenna system, the antennas were at a right angle to each other. At the two chosen different structures, we measured the antenna parameters and the channel capacity. In this paper, we present the results of the measurements which clearly confirm our simulations. We will point out the differences between the two antenna structures.

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