Energy-Efficient Phase Shifter Selection For Millimeter-Wave-Based Massive Multiple Input Multiple Output System

Abstract

The Next-Generation Wireless Communication Requires Reduced Energy Consumption, Increased Data Rate, And Better Signal Coverage. The Millimeter-Wave Frequency Spectrum Above 30 Ghz Can Help Fulfill The Performance Requirements Of The Next-Generation Mobile Broadband Systems. Massive MIMO Technology Is Being Developed For 5G Wireless Communication Systems Because Many Users Can Be Served Simultaneously With Very Better Throughput. Emerging Beamforming Architectures Can Reduce Energy Consumption And Hardware Complexity With The Use Of Fewer Radio Frequencies (RF) Chains. With The Flow Of Time, The Need For High-Data-Rate Wireless Communication Services Is Rapidly Increasing. Thus The Key Difficulty Is That As The Number Of Users Grows, The Number Of Phase Shifters Grows As Well, Causing The System To Consume More Power. As A Result, The System's Energy Efficiency Decreases. My Aim Is To Achieve The Highest Energy Efficiency For Millimeter-Wave Communications Systems. In This Thesis Phase Shifter Selection Mechanism Like Fully Connected With Phase Shifter Selection, Sub-Connected With Phase Shifter Selection, Fully Connected And Sub Connected With Phase Shifter Selection With Halved And Doubled Switches Will Be Applied For A Millimeter-Wave-Based Massive MIMO System To Improve Energy-Efficiency. Finally From The Simulation Result, Sub Connected With Phase Shifter Selection (SPSS) With Halvedswitch Can Outperform Energy Efficiency. For 120 Number Of Antenna, I Will Get 0.01739 Energy Efficiency In The Sub-Connected Phase Shifter Selection With Halved Number Of Switch