This thesis focuses on mobile phones antenna design with brief description about the historical development, basic parameters and the types of antennas which are used in mobile phones. Mobile phones antenna design section consists of two proposed PIFA antennas. The first design concerns a single band antenna with resonant frequency at GPS frequency (1.575GHz). The first model is designed with main consideration that is to have the lower possible PIFA single band dimensions with reasonable return loss (S11) and the efficiencies. Second design concerns in a wideband PIFA antenna which cover the range from 1800MHz to 2600MHz. This range covers certain important bands: GSM (1800MHz & 1900MHz), UMTS (2100MHz), Bluetooth & Wi-Fi (2.4GHz) and LTE system (2.3GHz, 2.5GHz, and 2.6GHz). The wideband PIFA design is achieved by using slotted ground plane technique. The simulations for both models are performed in COMSOL Multiphysics.
The last two parts of the thesis present the problems of mobile phones antenna. Starting with Specific absorption rate (SAR) problem, efficiency of Mobile phones antenna, and hand-held environment.
LPWAN Technologies for Internet of Things (IoT) and M2M ScenariosPeter R. Egli
Rapid technological advances in the past made possible the miniaturization of network devices to meet the cost and power consumption requirements in IoT and M2M scenarios. What is missing in this picture is a radio technology with both long range capability and a very low cost footprint. Existing radio technologies such as 3G/4G or Short Range Radio do not aptly meet the requirements of IoT scenarios because they are either too expensive or are not able to provide the required range. Other wireless technologies are geared towards high bandwidth which is in most cases not a requirement for IoT.
Emerging LPWAN technologies such as ETSI LTN or LoRAWAN are poised for filling the gap by providing long range (up to 40km) and low power connectivity. These technologies allow low cost radio devices and operation thus enabling scaling up IoT applications.
This thesis focuses on mobile phones antenna design with brief description about the historical development, basic parameters and the types of antennas which are used in mobile phones. Mobile phones antenna design section consists of two proposed PIFA antennas. The first design concerns a single band antenna with resonant frequency at GPS frequency (1.575GHz). The first model is designed with main consideration that is to have the lower possible PIFA single band dimensions with reasonable return loss (S11) and the efficiencies. Second design concerns in a wideband PIFA antenna which cover the range from 1800MHz to 2600MHz. This range covers certain important bands: GSM (1800MHz & 1900MHz), UMTS (2100MHz), Bluetooth & Wi-Fi (2.4GHz) and LTE system (2.3GHz, 2.5GHz, and 2.6GHz). The wideband PIFA design is achieved by using slotted ground plane technique. The simulations for both models are performed in COMSOL Multiphysics.
The last two parts of the thesis present the problems of mobile phones antenna. Starting with Specific absorption rate (SAR) problem, efficiency of Mobile phones antenna, and hand-held environment.
LPWAN Technologies for Internet of Things (IoT) and M2M ScenariosPeter R. Egli
Rapid technological advances in the past made possible the miniaturization of network devices to meet the cost and power consumption requirements in IoT and M2M scenarios. What is missing in this picture is a radio technology with both long range capability and a very low cost footprint. Existing radio technologies such as 3G/4G or Short Range Radio do not aptly meet the requirements of IoT scenarios because they are either too expensive or are not able to provide the required range. Other wireless technologies are geared towards high bandwidth which is in most cases not a requirement for IoT.
Emerging LPWAN technologies such as ETSI LTN or LoRAWAN are poised for filling the gap by providing long range (up to 40km) and low power connectivity. These technologies allow low cost radio devices and operation thus enabling scaling up IoT applications.
The document discusses Samsung's memory technology and its advantages. Samsung's memory products combine the highest performance with the lowest power consumption, helping to save on infrastructure and maintenance costs compared to competitors' technologies. Their latest green memory solutions can reduce server power consumption by up to 29% and lower cooling costs through improved thermal efficiency.
Green IT BB Award 2012 - Deutsche Bank - 8 Punkte-Programm für eine umweltfre...Netzwerk GreenIT-BB
The document outlines an 8-point program for an environmentally friendly IT infrastructure at a bank. It discusses making the bank's IT climate neutral, an eco-supplier program and recycling. It also discusses commitments to server and desktop efficiency, printer efficiency, and electronics recycling. Key aspects include governance, efficiency requirements, standards, TCO modeling, and a global recycling metric. Success requires strong cross-divisional partnerships. Charts show data center energy efficiency improvements over time from facilities, infrastructure, servers, and overall improvements relative to goals.
The document discusses Samsung's memory technology and its advantages. Samsung's memory products combine the highest performance with the lowest power consumption, helping to save on infrastructure and maintenance costs compared to competitors' technologies. Their latest green memory solutions can reduce server power consumption by up to 29% and lower cooling costs through improved thermal efficiency.
Green IT BB Award 2012 - Deutsche Bank - 8 Punkte-Programm für eine umweltfre...Netzwerk GreenIT-BB
The document outlines an 8-point program for an environmentally friendly IT infrastructure at a bank. It discusses making the bank's IT climate neutral, an eco-supplier program and recycling. It also discusses commitments to server and desktop efficiency, printer efficiency, and electronics recycling. Key aspects include governance, efficiency requirements, standards, TCO modeling, and a global recycling metric. Success requires strong cross-divisional partnerships. Charts show data center energy efficiency improvements over time from facilities, infrastructure, servers, and overall improvements relative to goals.
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