الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
 |  | from | 112 |  |  |
| | | from | 112 | | |
Abstract
A lot of effort has been made during the last two decades to study and apply the concepts of multiple input multiple output (MIMO) technology in most of the wireless standards. Therefore, a huge improvement in the performance of wireless communications has been made. However, demand for wireless services has exponentially increased during the past ten years. Hence, high throughput is very important for all users to get the best experience with the offered services. This creates many technical challenges that are difficult to handle with the existing technology. Therefore, massive MIMO is a new technology that has been proposed as one of the solutions that can overcome these challenges and fulfill the requirements of the fifth generation (5G) of wireless communications. MIMO and Massive MIMO were introduced as a modified and scalable versions of multiuser MIMO with small cells access point to improve systems capacity and energy efficiency (EE). This thesis will study EE and spectral efficiency (SE) in massive MIMO based on new precoding technique at transmitters that mitigate other cells interferences using efficient power allocation algorithms in order to achieve higher Quality of service (Qos) and improve communications performance. Next, the thesis introduces a new techniques and methods that can be used to mitigate signal interferences and increase the overall achievable rate using channel matrix of block diagonalization (BD) precoding with frequencies in milli-meter (mm) wave band. Then, we introduce a system model with channel matrix that represent the final BD with mm-wave model. For energy-efficient power allocation of heterogeneous cellular 5G, we used mm wave frequencies in order to increase coverage using massive MIMO and utilizing BD. III Further, this work studied the execution of EE in presence of heterogeneous network (HetNet) massive MIMO and small cells topology in mm-wave channel matrix. Next, mathematical model with sequential quadratic programming optimization (SQP) model to allocate power values for users from different sources (Base station or small cells) transmitter antennas in order to achieve the maximum achievable rates. Simulations proved that BD precoding in transmitter for a network consists of small cells access points with power allocation using SQP increases the communications performance for the massive MIMO system. Numerical and simulation results declare the effectiveness and efficiency of the proposed system.