Evaluation of 5G Cellular Network Implementation Over an Existing LTE One (original) (raw)

On Coverage Analysis for LTE-A Cellular Networks

— In this paper we analyze the coverage area for LTE-A cellular network by taking into account the interference of first tier and frequency reuse planning. We considered the numerical calculations and simulation results to measure the received signal strength at the users for downlink and uplink performances. It has been shown from results that there is degradation in the received signal strength at cell boundaries from-34dBm at the center to-91dBm at the boundaries with spectral efficiency from (4.3 to 0.5) bps/Hz at cell edge. We verify the mathematical model by using the ATDI simulator for the LTE radio planning that deals with a real digital cartographic and contains standard formats for propagation loss. Keyword-LTE-A, RSSI, Coverage, UE I. INTRODUCTION With the growing application for of wireless services, and the capacity of 2G networks and 3G is reaching saturation point. Long Term Evolution-Advanced (LTE-A) is a technological advancement proposed by the Third Generation Partnership Project (3GPP) to meet the requirements of Fourth Generation (4G) mobile broadband system with a powerful service carrying capacity and the efficiency of resource use, and lower cost of network construction and operation, and flexible network deployment[1]. The LTE is the latest standard in the mobile network technology tree. It inherits and develops the GSM/EDGE and UMTS/HSPA network technologies and is a step toward the 4th generation (4G) of radio technologies designed to optimize the capacity and speed of 3G mobile communication network. From the view point of LTE network design, these technologies and algorithms recover network performance but enhance system difficulty as well. To work out an efficient, reliable network coverage planning design for LTE, it is required to study the system's technical features expansively using system theories, simulations, and tests [2, 3]. The main aim of coverage planning is to estimate the coverage distance of a BS with parameter settings derived from actual cell boundary coverage requirements sequentially to meet network size requirements. Planning strategies for LTE system coverage can be classified into uplink edge and downlink edge, uplink edge is essentially applied in coverage. The uplink coverage radius is calculated using the received power from users to base station and link budget parameters, then the downlink edge is based on the received power at the users from donor and the interferences power from neighbors cell as shown in Figure 2. It is well known that the coverage of the cell has an inversely proportional with the user capacity of the same cell. An increasing in the number of users in the cell causes the total interference seen at the receiver to increase. This causes an increase in the power required to be received from each user [4, 5]. This is due to the fact that each user has to retention of a certain Signal-to-Interference plus noise Ratio (SINR) at the receiver for satisfactory performance. For a set maximum acceptable transmission power, an increase in the required power reception will result in a decrease in the maximum distance a mobile can be from the BS thereby reducing the coverage. The analysis in this paper proposed to the downlink performance in terms of the SINR at the user equipment (UE), where the UE associates itself with the BS which has the maximum SINR at the UE. The signal strength at the UE is an important metric that decides the outage probability, capacity and spectral efficiency of a cellular network in the downlink. The description of SINR distribution is helps in the complete understanding of the SINR metric. The structure of the paper is organized as follows: Section II describes the proposed mathematical system model of the analysis the LTE coverage performance. The link budget describes that used to approve the mathematical model for received signals strength at the users over cell is explained in Section III. The discussion of results and conclusion are explained in Section IV and Section V respectively.

Radio Access Evaluation of Commercial 5G Service

Electronics, 2021

Wireless communication networks are enhancing faster than anyone could imagine. As everybody knows, 5G is the future and the study of it is very valuable nowadays. In this context, this paper provides a characterization of the deployment of a 5G access network by an operator in Spain, identifying its capacity and the actual use to which it is being subjected today. For this, sizing methods and tools will be used to qualify the capacity of the cells currently displayed, determining a better performance than we might initially think. This paper proposes a theoretical model which identifies relevant parameters for cell dimensioning, and determining that an expansion of cell’s capacity will be necessary at a 70% of load. Subsequently, this model is evaluated, analyzing real data via a vendor, showing a high performance, but discovering that some methods used in the current deployment, such as DSS, are, perhaps, not as expected. In addition, when comparing the 5G yield 4G, the power and ...

Design and analysis 5G mobile network model to enhancement high-density subscribers

Bulletin of Electrical Engineering and Informatics, 2021

To obtain a high data rate that is commensurate with the growing demand for internet services, the fifth generation (5G) cellular networks will use the bandwidth beyond 6 GHz, called millimeters waves (mm-waves), to obtain a higher. The first phase (phase I) of the 5G network design for high user density, where the optimized microcells are deployed at carrier frequency 700 MHz with 20 MHz bandwidth. The second phase (phase II) of the design consists of the deployment of microcells which are operating at 3.6 GHz with 100 MHz bandwidth; this phase is planned to cover 200000 users within the province. The third phase (phase III) of the design is represented by the deployment of picocells, which are planned to operate at 26 GHz frequency and bandwidth 500 MHz; this phase is planned to cover 3,500,000 users within the province. Two types of modulation are adopted for the network (orthogonal frequency division multiplexing (OFDM) and 256 quadrature amplitude modulation (QAM)); the overall performance of the network is studied with regards to the percentage of coverage, power overlapping ratio, frequency interference, and quality of service (QoS).

5G Network Coverage Planning and Analysis of the Deployment Challenges

Sensors, 2021

The 5G cellular network is no longer hype. Mobile network operators (MNO) around the world (e.g., Verizon and AT&T in the USA) started deploying 5G networks in mid-frequency bands (i.e., 3–6 GHz) with existing 4G cellular networks. The mid-frequency band can significantly boost the existing network performance additional spectrum (i.e., 50 MHz–100 MHz). However, the high-frequency bands (i.e., 24 GHz–100 GHz) can offer a wider spectrum (i.e., 400~800 MHz), which is needed to meet the ever-growing capacity demands, highest bitrates (~20 Gb/s), and lowest latencies. As we move to the higher frequency bands, the free space propagation loss increases significantly, which will limit the individual cell site radius to 100 m for the high-frequency band compared to several kilometers in 4G. Therefore, the MNOs will need to deploy hundreds of new small cells (e.g., 100 m cell radius) compared to one large cell site (e.g., Macrocell with several km in radius) to ensure 100% network coverage f...

Cellular Planning and Optimization for 4G and 5G Mobile Networks

2019

Cellular planning and optimization of mobile heterogeneous networks has been a topic of study for several decades with a diversity of resources, such as analytical formulations and simulation software being employed to characterize different scenarios with the aim of improving system capacity. Furthermore, the world has now witnessed the birth of the first commercial 5G New Radio networks with a technology that was developed to ensure the delivery of much higher data rates with comparably lower levels of latency. In the challenging scenarios of 4G and beyond, Carrier Aggregation has been proposed as a resource to allow enhancements in coverage and capacity. Another key element to ensure the success of 4G and 5G networks is the deployment of Small Cells to offload Macrocells. In this context, this MSc dissertation explores Small Cells deployment via an analytical formulation, where metrics such as Carrier plus Noise Interference Ratio, and physical and supported throughput are comput...

Radio Network Planning and Optimization for 5G Telecommunication System Based on Physical Constraints

Journal of Computer Science Research

The paper mainly focuses on the network planning and optimization problem in the 5G telecommunication system based on the numerical investigation. There have been two portions of this work, such as network planning for efficient network models and optimization of power allocation in the 5G network. The radio network planning process has been completed based on a specific area. The data rate requirement can be solved by allowing the densification of the system by deploying small cells. The radio network planning scheme is the indispensable platform in arranging a wireless network that encounters convinced coverage method, capacity, and Quality of Service necessities. In this study, the eighty micro base stations and two-hundred mobile stations are deployed in the -15km×15km wide selected area in the Yangon downtown area. The optimization processes were also analyzed based on the source and destination nodes in the 5G network. The base stations' location is minimized and optimize...

Coverage and Capacity Analysis of LTE Radio Network Planning considering Dhaka City

Long Term Evolution (LTE) is the latest and most enhanced broadband wireless access (BWA) technology. LTE is the latest standard in the mobile network technology tree that previously realized the GSM/EDGE and UMTS/HSxPA technologies. LTE is expected to ensure 3GPP"s competitive edge over other cellular technologies. The standardization process of LTE is almost at its end. With industrial attachment very few radio planning works of LTE are going on. But because of certain commercial issues those works aren"t widely available. Radio network planning is a very vital step for wireless communication technology. As standardization work of LTE is approaching the end line, it"s high time to go for efficient radio network planning guideline for LTE. In LTE just like other cellular technologies, initial planning is normally guided by various industries and vendors at their own discretion. They aren"t likely to disclose their advancements and findings. That makes the job even more challenging. As a result, going on with LTE radio network planning perspective is a well-chosen challenge and a certain hot topic in the current research arena. In this work, a detailed LTE radio network dimensioning procedure i.e. capacity and coverage analysis has been performed in order to prepare a radio planning guideline considering possible network implementation in the densely populated South-Asian city-Dhaka.

Cell coverage evaluation for LTE and WiMAX in wireless communication system

2013

In this paper, we have evaluated the cell coverage area for LTE and WiMAX technology theoretically for different frequencies and environments in wireless communication systems. The evaluation was done based on the propagation model-COST HATA231 model, which is suitable for LTE in various environments. Based on this model, we have determined the cell radius and coverage area under some real world application for different continents of the World as per licensed spectrum. We have then compared the cell radius obtained in the case of LTE and WiMAX under different environments and frequencies. The comparison results reveled that the LTE technology not only covers grater area than WiMAX for similar frequencies but also provides high-speed, better Q S and "all-IP" mode of communications. As the results, it is highly expected to be the best o candidate for future wireless communication system.