# Performance Analysis of Joint Transmission Schemes in Ultra-Dense Networks - An Unified Approach

## TL;DR

This paper introduces an analytical framework based on stochastic geometry to evaluate the performance of joint transmission schemes in ultra-dense networks, enabling precise performance analysis beyond simulations.

## Contribution

It proposes a unified analytical approach for assessing various JT schemes and traditional methods in UDNs, addressing previous reliance on simulations.

## Key findings

- Analytical expressions for signal and interference statistics.
- Validation of the approach through simulations.
- Insights into system performance metrics like SINR and spectral efficiency.

## Abstract

Ultra-dense network (UDN) is one of the enabling technologies to achieve 1000-fold capacity increase in 5G communication systems, and the application of joint transmission (JT) is an effective method to deal with severe inter-cell interferences in UDNs. However, most works done for performance analysis on JT schemes in the literature were based largely on simulation results due to the difficulties in quantitatively identifying the numbers of desired and interfering transmitters. In this work, we are motivated to propose an analytical approach to investigate the performance of JT schemes with a unified approach based on stochastic geometry, which is in particular useful for studying different JT methods and conventional transmission schemes without JT. Using the proposed approach, we can unveil the statistic characteristics (i.e., expectation, moment generation function, variance) of desired signal and interference powers of a given user equipment (UE), and thus system performances, such as average signal-to-interference-plus-noise ratio (SINR), and area spectral efficiency, can be evaluated analytically. The simulation results are used to verify the effectiveness of the proposed unified approach.