Study of Small Cell Deployment Methods for Heterogeneous LTE-A Network Bandwidth
Students Name: Fedkovych Volodymyr Vasylovych
Qualification Level: magister
Speciality: Information Communication Networks Design and Administration
Institute: Institute of Telecommunications, Radioelectronics and Electronic Engineering
Mode of Study: full
Academic Year: 2023-2024 н.р.
Language of Defence: ukrainian
Abstract: The growing demand for mobile traffic is posing new challenges for cellular network deployments. In order to increase average capacity and coverage and meet these needs, the use of small cells has become a promising solution. Such networks must coexist with legacy networks and therefore their impact must be carefully studied. In this paper, pico eNBs and RRHs are considered as small cells embedded in a macrocell deployment of a LYE-A network.In addition, with the development of mobile networks, as well as the growing popularity of smartphones, new multimedia applications are increasingly emerging that have certain minimum quality of service (QoS) requirements. To solve this problem, we investigated the impact of small cell deployment on network throughput for users. In the first section, we study the architecture and working principles of LTE-A technology. A detailed analysis of existing models for deploying heterogeneous LTE-A networks is carried out, including important aspects such as the interaction of macro and small cells. The key features of HetNets design and management are highlighted. A review of scientific works is made and tasks for further research are formulated. The general conclusions relate to the importance of effective use of heterogeneous networks in the context of LTE-A. The second section discusses the main scenarios for building a model of heterogeneous LTE-A networks, including macro- and small cells, as well as the use of Remote Radio Head (RRH). The impact of different models on network performance is investigated and key performance indicators are defined. The findings emphasize the importance of choosing the optimal model for a particular scenario. The third section discusses the effective use of Radio Environment (RE) and Almost Blank Subframe (ABS) methods for load balancing between different cells. The load balancing algorithm is analyzed in detail, taking into account the Quality of Service (QoS) requirements. The conclusions of the chapter indicate the importance of these techniques in the context of heterogeneous networks and their contribution to improving QoS. The fourth section presents a detailed description of the LTE-A heterogeneous network modeling scenario. The impact of deploying a network using RE and eICIC on load balancing and throughput is analyzed. Particular attention is paid to the Guaranteed Bit Rate (GBR) requirements that influence the choice of optimal methods. A comparative analysis of static and dynamic strategies for using eICIC to control intercellular interference is carried out. The simulation results demonstrate a significant increase in throughput, especially in the case of the dynamic variant, where up to 2.5-fold improvement is observed compared to the variant without eICIC. The study also covers scenarios where the number of Best Effort users in the network changes, showing that in the face of growing traffic, significant relative gains in coverage and throughput are possible with dynamic eICIC strategies. In the fifth section, we calculate the capital and operating costs for different variants of 4G/5G networks. The analysis of the revenue from the implementation of different antennas in terms of resource allocation has revealed important economic aspects. The payback period is investigated to assess the efficiency of implementing radio resource allocation in the context of a single base station. The chapter emphasizes the importance of considering economic aspects when planning and implementing 4G/5G networks. The object of the study is heterogeneous LTE-A (Long-Term Evolution Advanced) networks that include different types of base stations, such as macro cells, small cells, and Remote Radio Head (RRH). The subject of the study is efficient methods of deployment and resource management in heterogeneous LTE-A networks. The aim is to study the impact of different small cell deployment and resource management strategies on throughput, and to develop algorithms to meet the QoS requirements of users with different needs.