Abstract
The significance of Channel State Information (CSI) is very essential in a hybrid mm-WAVE Multiple Input Multiple Input (MIMO) System due to its direct dependency on medium capacity and energy efficiency of a network. Therefore, a Channel State Information (CSI)-based Sparse Reconstruction (CSISR) technique is adopted for effective evaluation of CSI for future 5G cellular network implementation. A hybrid mm-WAVE MIMO communication system is also employed for effective bandwidth spectrum utilization. Furthermore, a joint sparse coding algorithm is introduced to study the channel matrices of hybrid mm-WAVE MIMO system. The proposed CSISR technique ensure proficient signal reconstruction, signal compression and resource reduction by exploiting sparsity of channel matrix. The proposed CSISR technique under low SNR conditions as well for hybrid mm-WAVE MIMO system with optimization of pre-processors and combiners. The performance throughput of proposed CSISR technique is measured against conventional algorithms considering power consumption, Normalized Mean Square Error (NMSE) and spectral efficiency of the mm-Wave MIMO system. The superiority of proposed CSISR technique is concluded based on simulations considering different system configurations and performance matrices.
Highlights
Recent developments in several technologies have enormously benefitted sectors like Healthcare, Manufacturing, Telecom, Communication, sports and music based scientific assessment approaches as well [1]
Recent researches have shown illimeter wave communication have tremendous potential to collaborate with future 5G cellular networks as future cellular networks will require bandwidth up to some GBPS according to several experts which cannot be achieved by current bandwidth spectrums
Assume that a composite hybrid mm-Wave massive multiple-input multiple-output (MIMO) network model is considered for efficient channel state information estimation based on proposed CSISR technique in a multiple consumer system
Summary
Recent developments in several technologies have enormously benefitted sectors like Healthcare, Manufacturing, Telecom, Communication, sports and music based scientific assessment approaches as well [1]. There are several issues present in mm-Wave communication technology which need to be discussed comprehensively for the enhancement of spectrum efficiency such as high attenuation, severe path loss, signal propagation delay, high power consumption due to utilization of large antenna array elements, accurate estimation of channel state information acquired at transmitter and reception side, high computational cost, spectral efficiency loss in conventional methods, high overhead and optimization problem. A Channel State Information (CSI)-based Sparse Reconstruction (CSISR) technique is introduced for efficient estimation of CSI at both transmitter and receiver side to enhance efficiency of hybrid mm-WAVE communication system for future 5G cellular network.
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