On the Performance of LDPC-Coded Large Intelligent Antenna System

Abstract

This article studies Large Intelligent Systems (LIS) along with Single Carrier with Frequency Domain Equalization (SC-FDE), utilizing Low-Density Parity-Check (LDPC). Four different receivers are studied in the scenarios described above, namely Equal Gain Combining (EGC), Maximum Ratio Combining (MRC), Zero Forcing (ZF), and Minimum Mean Squared Error (MMSE). The results of this article show that the use of LDPC codes leads to an improvement of performance by about 2 dB for a 4X25 LIS system and by 3 dB for a 4X225 LIS system, as compared to similar systems without LDPC codes. Moreover, for all simulations, the MMSE receiver achieves the best overall performance, while EGC performs the worst.

On the Performance of Partial LIS for 6G Systems

“…9 aims to perform a comparison between the results with and without LDPC codes. Note that the use of LDPC with the full LIS has been previously analysed in [10]. Figure 9 shows results like those of Figure 5 but in which the LDPC codes are also shown, considering the scenario with the partial LIS.…”

“…When LDPC codes are used, these have a code rate of ½. The length of the LPDC codes utilized in the simulations is 32,400 from the DVB-S.2 standard (also used in [10]). LDPC codes have gained significant attention due to their excellent performance in various communication systems, including wireless, satellite, and optical communication.…”

“…In this article, we analyse an LIS [9][10][11][12][13] system associated with a single carrier with frequency domain equalization (SC-FDE) [14,15], which is an alternative to orthogonal frequency division multiplexing (OFDM). Due to the high peak-to-average power ratio (PAPR) of OFDM signals, their use in uplink scenarios is not well suited.…”

“…This article is an extension of the research published in [10], using a subset of the antenna LIS elements (referred to as a partial LIS), instead of the whole LIS. Because it is a function of the number of antennas, the computational complexity decreases when using only antenna elements that are closer to the user equipment (UE) instead of the whole LIS.…”

Physical Layer Security Performance Analysis of IRS-Aided Cognitive Radio Networks

“…In [21], an IRS-assisted CR system was proposed by establishing an optimization to maximize the secrecy rate of ST while a static Eve exists; cooperative beamforming was considered as well, to ensure the quality of service (QoS) of the primary receiver (PR). In addition, the IRS has been exploited to assist secure communication by cooperating with other traditional security technologies such as the AN [22], cooperative relaying [23], and power-transfer SWIPT and simultaneous wireless information [24][25][26]. The author in [27] employed adaptive transmit power along with energy harvesting in CRNs.…”