Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In cellular systems, antenna tilt and transmit por are two most important parameters for tuning the performance. An optimal antenna tilt has strong impact in interference mitigation which leads to a better coverage and capacity in interference limited system like LTE. Legacy optimization procedures require drive test to tune these parameters. , an autonomous configuration scheme, which works on the measurement provided by the users, is presented. The base stations constantly change their antenna tilt or transmit por to maximize their own objective functions. This heuristic approach is fully decentralized. Hence, the complexity is moderate. The simulation results show significant improvement in system performance in terms of reduced drop rate and better median SINR. In mobile cellular networks, at the planning stage, some static parameters and objectives are considered. In ongoing network optimization, system parameters arefine tuned repetitively, based on periodically collected statistics, such as key performance indicators (KPI)s. Enormous efforts, such as drive tests, are put in the coverage area to collect those data. Due to the limitation of data sampling, the collected data cannot fully represent all the characteristics of the live network. Therefore, the trend of network operating is to extract real-time parameters from user and optimize the network in a self-organized manner. This has significant effect not only on the quality of service and user satisfaction, but also comes with inherent characteristic of cost cutting, in term of initial deployment and planning capital expenditures (CAPEX) and ongoing operational expenditure (OPEX). Antenna tilt is one of the important parameter that has dramatic impact on coverage, interference, path loss and delay spread [1]. ,  proposed an algorithm of adjusting antenna tilt and transmission por, primarily based on channel quality indicator (CQI), which is a 4-bit feedback message sent from user with the information about channel condition [2]. Moreover, a system level analysis is done based on variations in the proposed algorithm. These variations are created to test use cases based on different preferences and their impact on the overall system. Additionally, the solution is kept scalable, since deci
['Muhammad Aatiq Ismail', 'Xiang Xu', 'Rudolf Mathar']
I am writing a research paper on a idea Autonomous antenna tilt and power configuration based on CQI for LTE cellular networks
[{"from": "human", "value": "I am writing a research paper on a idea Autonomous antenna tilt and power configuration based on CQI for LTE cellular networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In cellular systems, antenna tilt and transmit por are two most important parameters for tuning the performance. An optimal antenna tilt has strong impact in interference mitigation which leads to a better coverage and capacity in interference limited system like LTE. Legacy optimization procedures require drive test to tune these parameters. , an autonomous configuration scheme, which works on the measurement provided by the users, is presented. The base stations constantly change their antenna tilt or transmit por to maximize their own objective functions. This heuristic approach is fully decentralized. Hence, the complexity is moderate. The simulation results show significant improvement in system performance in terms of reduced drop rate and better median SINR. In mobile cellular networks, at the planning stage, some static parameters and objectives are considered. In ongoing network optimization, system parameters arefine tuned repetitively, based on periodically collected statistics, such as key performance indicators (KPI)s. Enormous efforts, such as drive tests, are put in the coverage area to collect those data. Due to the limitation of data sampling, the collected data cannot fully represent all the characteristics of the live network. Therefore, the trend of network operating is to extract real-time parameters from user and optimize the network in a self-organized manner. This has significant effect not only on the quality of service and user satisfaction, but also comes with inherent characteristic of cost cutting, in term of initial deployment and planning capital expenditures (CAPEX) and ongoing operational expenditure (OPEX). Antenna tilt is one of the important parameter that has dramatic impact on coverage, interference, path loss and delay spread [1]. ,  proposed an algorithm of adjusting antenna tilt and transmission por, primarily based on channel quality indicator (CQI), which is a 4-bit feedback message sent from user with the information about channel condition [2]. Moreover, a system level analysis is done based on variations in the proposed algorithm. These variations are created to test use cases based on different preferences and their impact on the overall system. Additionally, the solution is kept scalable, since deci"}]