Impact of multiple system diversity on throughput in heterogeneous cellular networks

Abstract

As different generations of mobile communication systems are installed in the same area, a mobile terminal (MT) can utilize the multisystem diversity (MSD) by accessing the system providing the highest signal-to-interference-and-noise ratio (SINR). However, it is difficult to practically calculate the capacity gain obtained from the MSD environment by using conventional capacity analysis methodologies because each mobile communication system operates in different frequency and channel environments. In this paper, we propose a Poisson-point process (PPP)-based hybrid approach in order to analyze the MSD capacity gain. In the hybrid approach, the SINR interval probability is first derived considering the MSD order. Since SINR intervals are mapped to CQI-MCS table values used in real-world cellular systems, we can calculate a substantially valid system capacity in the MSD environment. In our result, the reliability of the proposed analysis tool is verified by confirming that the existing capacity analysis results can be benchmarked. Based on the reliability, the MSD capacity gain is quantitatively analyzed when heterogeneous cellular systems coexist and interact. KEYWORDS heterogeneous cellular networks, PPP analysisRecently, standardization of the fifth generation (5G) mobile communication system is actively underway. 1,2 The 5G system operates in the tens of GHz frequency band and will operate simultaneously with the fourth generation (4G) mobile communication system to provide stable service coverage. The 5G system can provide signal transmissions in multiple subbands. 3,4 In such a mobile communication environment, a mobile terminal (MT) has an opportunity to access multiple systems at a location. Assuming 5G base stations (BS) installed in different locations from the 4G system, an MT can receive signals with different signal-to-interference-and-noise ratio (SINR) values from the 4G and 5G systems. If 5G BSs are operating in different subbands, an MT might also experience different SINR values at each subband. In such a wireless communication environment, an MT can newly pursue multisystem diversity (MSD) where the MT can select the best system or subband which provides the maximum SINR.In the MSD environment, the statistical characteristics of the received SINR must be different from the conventional wireless communication environment. In order to analyze the system capacity in the MSD environment, a probability density function (pdf) of the SINR should be first derived. There have been some theoretical researches in order to derive Int J Commun Syst. 2018;31:e3828.wileyonlinelibrary.com/journal/dac

Capacity improvement through selection diversity for dual‐polarized antenna systems

“…In order to evaluate the practical utility of the selection diversity in a DPA system, the SIR of the selected MT is mapped to the channel quality indicator (CQI) level used in the 5G system, which depicted in Figure 4. Refer to the SIR‐CQI level mapping table 20 . When the CQI level is increased, it means that the amount of information that can be transmitted per unit radio resource is increased.…”