الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Mobile broadband based on 3G technology has already a great success in increasing data rates and improving quality of services compared to 2G. However, to meet future demands for mobile broadband services, the industry must further improve service delivery, for example, through higher data rates, shorter delays, and even greater capacity. These are the very targets of LTE (Long Term Evolution) which has the ability to achieve a download data rate of 100 𝑀𝑏𝑝𝑠 and 50 𝑀𝑏𝑝𝑠 for uplink. To achieve such high rates a planning models have to be used to make better use of system resources to increase the rates. In addition to outdoor planning models, indoor planning is also becoming widely implemented because of the fact that in many countries 80% of users are inside buildings. Since providing high-performance indoor coverage, especially on higher data rates, is a challenge, careful research has been taken into providing solutions for indoor communications, to offload outdoor networks and consequently offer higher rates to subscribers as well as higher revenues for vendor companies. Many in-building wireless solutions were introduced such as relaying, Pico cells, Femto cells and distributed antenna system (DAS). This thesis will focus on DAS system. In DAS, a network of antennas is used to provide coverage within a given building. Consequently, multiple antennas within a given floor are expected to provide a better chance for line-of-site situations, the matter which improves signal quality. Moreover, having the ability to calculate the capacity for such a system shall help in providing clever planning and optimization of resources and consequently provide the capability to compare different indoor coverage solutions and decide on which of them is to be deployed, should a similar approach for capacity evaluation of other systems be also available. This thesis addresses the wireless indoor planning using Distributed Antenna System where the main aim is to dimensioning the number of antennas needed to satisfy a Long Term Evolution LTE data rate requirement in an indoor Distributed Antenna System environment. Many assumptions are done to simplify power evaluation in the indoor layout. At first, indoor layout is assumed to be a square one then it is subdivided into a number of smaller sub- squares where antennas are assumed to be located at the corners of these sub-squares and it is found that received power at any point inside the layout is dominated by antennas located at the corners of the sub-square where this point falls. The dependency of each sub-square area and the power assigned to the antennas at the edge of the sub-square on the number of antennas is used in the thesis to find the number of resource blocks necessary to satisfy the location with worst coverage inside a given sub-square as a function of the number of antennas. The thesis provides an approach to use this relation to derive the number of antennas required for the entire layout to satisfy rate requirements with minimum resources. Also, the proposed approach is assumed to be valid for any general layout area by transforming it to an equivalent square layout with the same surface area. Numerical results show that the number of antennas derived using the proposed approach presents an accurate estimation for the required number of antennas in a general non-square layout and without any assumption on the power calculation. Also, the proposed technique is shown how to be applied for different actual layout areas to calculate the required number of DAS antennas to be deployed in the building.