6G Vision and Challenges: Complexity Analysis of M-MIMO Rate-less Based System with Various Pre-Coding Schemes

Due to the expected essential role of the rate-less digital fountain codes and Massive-Multi-Input Multi-Output (M-MIMO) techniques in the 5G and 6G mobile wireless networks, this paper investigates the performance of M-MIMO enhancing system employing the Raptor code. The proposed M-MIMO-Raptor code based system has been tested over the different wireless communications channel conditions with respect to the various Frequency Doppler (FD). The various promising technologies for the beyond 5G and 6G have been presented with focusing on the advanced error control techniques. The flexible adaptive interleaved pre-code based on the channel conditions is suitable for 6G mobile wireless networks which integrates the various environments of the communications. The complexity of the advanced and fixed code rate schemes is discussed. Several computer simulation experiments are carried out for evaluating the performance of M-MIMO-rate-less code system. These experiments prove the superiority of the presented wireless rate-less system compared to the fixed rate wireless system due to the improved results of BER and the throughput values which are utilized as a performance evaluating metrics. Theoretical analysis of the M-MIMO throughput proves the enhancing of M-MIMO utilizing the rate-less Raptor code and its applicability for the next mobile wireless networks generations.

User Association, Power Control and Channel Access Schemes for Two-Tier Macro-Femto Networks: CDF of SINR Analysis

<div>In the rapid development of wireless communications Femtocells provide tremendous improvement in coverage and quality of service for users. Macro-Femto based networks are envisioned to be the de-facto solution for providing ultrahigh speed communications in next generation mobile wireless networks. This paper studies two-tier Macro-Femto networks and proposes a collection of novel technologies to address the interference problems. First, a novel user association scheme is proposed that aims to optimize the load among Femto base stations (FBSs). Second, a near-optimal ergodic search algorithm is proposed to regulate the power consumption at Macro base stations (MBSs) and improve energy efficiency. Third, a channel access mechanism is proposed for FBSs that aims to minimize inter-tier interference. For the proposed system, CDF of SINR is derived and used for performance investigation. Simulation results show that the proposed system can significantly outperform a popular, conventional cognitive radio based system for all the considered simulation scenarios.</div>

User Association, Power Control and Channel Access Schemes for Two-Tier Macro-Femto Networks: CDF of SINR Analysis

<div>In the rapid development of wireless communications Femtocells provide tremendous improvement in coverage and quality of service for users. Macro-Femto based networks are envisioned to be the de-facto solution for providing ultrahigh speed communications in next generation mobile wireless networks. This paper studies two-tier Macro-Femto networks and proposes a collection of novel technologies to address the interference problems. First, a novel user association scheme is proposed that aims to optimize the load among Femto base stations (FBSs). Second, a near-optimal ergodic search algorithm is proposed to regulate the power consumption at Macro base stations (MBSs) and improve energy efficiency. Third, a channel access mechanism is proposed for FBSs that aims to minimize inter-tier interference. For the proposed system, CDF of SINR is derived and used for performance investigation. Simulation results show that the proposed system can significantly outperform a popular, conventional cognitive radio based system for all the considered simulation scenarios.</div>