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Final Report of Internship

IP.com Disclosure Number: IPCOM000248168D
Publication Date: 2016-Nov-02

Publishing Venue

The IP.com Prior Art Database

Related People

Wahab Ali Gulzar Khawaja: AUTHOR

Abstract

During the internship, i was assigned two main tasks of data analysis of ray tracing data and building a channel simulator that can be used for analyzing the performance of user centric approach using on-o pilot codes and then us- ing the ray tracing data to build the channel. Following are the list of tasks performed. 1- Performed basic analysis of the ray tracing data in order to ascertain the statistical information 2- Performance analysis of di erent compressed sensing approaches 3- Building the detection for multiple users with one BS (with and without sec- torization) and testing with pseudorandomly generated data 4- Using the channel parameters from ray tracing data in to simulator and check- ing the performance for set of users served by a particular base station (BS) 5- Analysis and plotting based on di erent channel input parameters and their respective performance

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Final Report of Internship

Wahab Ali Gulzar Khawaja August 14, 2016

During the internship, i was assigned two main tasks of data analysis of ray tracing data and building a channel simulator that can be used for analyzing the performance of user centric approach using on-off pilot codes and then us- ing the ray tracing data to build the channel. Following are the list of tasks performed.

  1- Performed basic analysis of the ray tracing data in order to ascertain the statistical information
2- Performance analysis of different compressed sensing approaches
3- Building the detection for multiple users with one BS (with and without sec- torization) and testing with pseudorandomly generated data
4- Using the channel parameters from ray tracing data in to simulator and check- ing the performance for set of users served by a particular base station (BS)
5- Analysis and plotting based on different channel input parameters and their respective performance


2 Tasks in detail

First task was the analysis of the ray tracing data. We have ray tracing data from a specific location in Japan in the frequency bands of 3.5 GHz and 28 GHz. There are 13 base stations(BSs). The whole coverage area by those 13 BSs is divided in to 6 regions for 3.5 GHz and in to 8 regions for 28 GHz. For each area, the number of users is different. For each area, every BS provides coverage to each user i.e. with in each area we have a set of users that are served by each BS. The communication link is down-link from BS to user equipment (UE) with transmit power of the 30 dBm. The system is SISO. The height of the BS is 10m and the height of the UE is 1.5m
With in each area, the ray tracing data was divided into LOS and NLOS users. Each user has many paths dependent on its geo-location. First statistical anal- ysis of each area was carried out i.e. with in each area we see the statistics of the channel parameters from each BS. e.g. probability density function (PDF)

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of the delay spread from different BSs with in a particular area can provide us with the idea that what is the average delay spread for a particular BS and how is its variance for LOS or NLOS case. Similarly we can see from path loss plots that which particular BSs have more higher path loss exponent for LOS/NLOS for a given area. We also ascertained average number of paths, average received power, angle of arrival (AoA) to users per path for each BS in LOS and NLOS. Based on that analysis we can decide about the optimum positioning of the BS including its height, its location, transmit power etc.

We can also compare the coverage performance for 3.5 GHz and 28GHz bands. A angular spread plot for 3.5 and 28GHz are shown in Figure 1 and Figure 2 It can be observed that the angular spread value is almost the same for the two cases but in case of 28 GHz more number of BSs show higher probability of angular spread between 0 to 20. Similarly we can compare other parameter values between the two...