AN-Based beamforming design in secrecy heterogeneous WSN with MIMO-SWIPT

Keyphrases

• Wireless Power Transfer 100%
• Wireless Information Transfer 100%
• Simultaneous Wireless Power 100%
• Simultaneous Wireless Information 100%
• Artificial Noise 100%
• Successive Convex Approximation 100%
• Beamforming Design 100%
• Macrocell 66%
• Iterative Algorithm 33%
• Network Applications 33%
• Sensor Node 33%
• Performance Loss 33%
• Max-min 33%
• Near-optimal Solution 33%
• Physical Layer Security 33%
• Two-tier 33%
• Convergence Property 33%
• Approximation Approach 33%
• Femtocell 33%
• Sequential Parametric Convex Approximation 33%
• Beamforming Vector 33%
• Rank Relaxation 33%
• Transmit Beamforming 33%
• Power Splitting Ratio 33%
• Approximation Techniques 33%
• Secrecy Capacity 33%
• Transfer Approach 33%
• Second-order Cone Programming Problem 33%
• Heterogeneous Wireless Sensor Networks 33%
• Noise Vectors 33%
• Joint Optimization Problem 33%
• First-order Taylor Series Expansion 33%

Engineering

• Simultaneous Wireless Information and Power Transfer 100%
• Multiple-Input Multiple-Output 100%
• Macrocell 100%
• Beamforming 100%
• Joints (Structural Components) 50%
• Conventional Method 50%
• Iterative Algorithm 50%
• Optimisation Problem 50%
• Sensor Node 50%
• Wireless Sensor Network 50%
• Max 50%
• Performance Loss 50%
• Physical Layer Security 50%
• Convergence Property 50%
• Splitting Ratio 50%
• Femtocells 50%
• Taylor Series Expansion 50%

Computer Science

• Wireless Sensor Network 100%
• Approximation (Algorithm) 100%
• MIMO Systems 100%
• Iterative Algorithm 33%
• Optimization Problem 33%
• Sensor Node 33%
• Conventional Method 33%
• Physical Layer Security 33%
• Secrecy Capacity 33%
• Convergence Property 33%
• Performance Loss 33%
• Approximation Technique 33%
• Taylor Series Expansion 33%