Quality of Service Analysis of Long Term Evolution Network in Frequency Division Duplexing Mode in Semarang City

The study aims to analyze the Quality of Service (QoS) of Long Term Evolution Frequency Division Duplexing (LTE FDD) telecommunication network in urban and sub-urban in Semarang city. This study observed the quality of the LTE FDD in terms of network responsiveness or ping, packet loss, delay, and throughput on upload and download from the user's experience based on eNodeB length variation. Quality observations were carried out on the QoS of the LTE FDD telecommunications network in the Semarang using the Axence NetTools and Oakla Speed Test applications during busy hours at each eNodeB. The results were presented based on variations in distance and showed the quality of packet loss and delay classified as very good based on ITU-T G.114, which is respectively less than 3% and 150 milliseconds. Ping testing was classified as good based on the LTE control plane, which is less than 50 milliseconds at each point. Service throughput was between 16.98-19.01 Mbps for uploads and 17.34 - 23.29 Mbps for uploads.

Channel Estimation for Frequency Division Duplexing Multi-user Massive MIMO Systems via Tensor Compressive Sensing

<p class="p1">To make full use of space multiplexing gains for the multi-user massive multiple-input multiple-output, accurate channel state information at the transmitter (CSIT) is required. However, the large number of users and antennas make CSIT a higher-order data representation. Tensor-based compressive sensing (TCS) is a promising method that is suitable for high-dimensional data processing; it can reduce training pilot and feedback overhead during channel estimation. In this paper, we consider the channel estimation in frequency division duplexing (FDD) multi-user massive MIMO system. A novel estimation framework for three dimensional CSIT is presented, in which the modes include the number of transmitting antennas, receiving antennas, and users. The TCS technique is employed to complete the reconstruction of three dimensional CSIT. The simulation results are given to demonstrate that the proposed estimation approach outperforms existing algorithms.</p>