Actual Traffic Based Load-Aware Dynamic Point Selection for LTE-Advanced System

Abstract

Coordinated MultiPoint (CoMP) has been introduced for LTE-Advanced system to overcome the inter-cell interference problems and enhance the signal quality of cell-edge UEs (User Equipments). With such concept, the overall system performance should be improved considerably to support the significantly increasing amount of demand on data transmission via mobile communication that happens nowadays. Dynamic Point Selection (DPS) is one of the major CoMP techniques offering benefit through its practicality and low complexity. This work proposes the actual traffic-based load-aware DPS for LTE-Advanced system. The key important cell selection criterion employed in this work is based on the actual traffic load of the calls along with the UEs received signal indicator. The adapted Vienna downlink system level simulator has been used for the system evaluation. The video streaming traffic model was employed with the data rate of 512 kbps for the realistic use cases and four simulation scenarios including the uniformly distributed UEs case and different patterns of hotspots distribution use cases were deployed. The system performance evaluation includes the system throughput performance, the number of UEs achieving expected data rate, and eNBs' traffic load. The results show that our proposed method offers a substantial improvement over the traditional system as well as the system embedded with the existing DPS mechanisms when the traffic loads are imbalanced such as in certain hotspot cases.

Performance Evaluation of Downlink Coordinated Multipoint Joint Transmission under Heavy IoT Traffic Load

“…The numbers from 1 to 21 indicate to cells (TPs), and blue dots represent IoT nodes; red circles represent the seven sites eNBs. To evaluate the performance of DL-JT-CoMP, the simulation results of IoT intrasite and intersite will be compared in different performance metrics for a different number of users and show the effect of a different number of users in the performance metrics [38]. The results of performance metrics, throughput, spectral efficiency, and the wideband SINR were obtained based on the calculations during the use of three values of users' The results show that an increase in the number of users within the cell will negatively affect the UE throughput for both cases because the network resources will be divided into a larger number when increasing the number of IoT nodes/cells.…”

Load-Aware Greedy Dynamic CoMP Clustering Mechanism for DPS CoMP in 5G Networks

“…Under this category, a further study of the DPS CoMP technique with a cell selection criterion based on an actual traffic load of each cell and the Channel Quality Indicator (CQI) of all active users in the LTE-A system has been proposed in our previous work presented in [11]. The cell load calculation method proposed in [11] is based on the actual use of the radio resource in realistic network scenarios. In the experiment, the video streaming traffic model has been used with a constant rate of 512 kbps.…”

“…The studies of DPS CoMP with the consideration of the traffic load conditions using the average value of Proportional Fairness (PF) and the current number of active users (UEs) as a cell selection criterion are discussed in [8][9][10]. Among those studies, our previous work presented in [11] proposes the approach called the actual traffic-based load-aware DPS CoMP, in which a cell selection criterion is based on the actual traffic load of cells and the signal quality indicator of the active users to efficiently optimize resource among cells to enhance the overall system performance. The proposed scheme [11] offers LTE-A overall system performance enhancement, especially in imbalanced cell load scenarios.…”

“…Among those studies, our previous work presented in [11] proposes the approach called the actual traffic-based load-aware DPS CoMP, in which a cell selection criterion is based on the actual traffic load of cells and the signal quality indicator of the active users to efficiently optimize resource among cells to enhance the overall system performance. The proposed scheme [11] offers LTE-A overall system performance enhancement, especially in imbalanced cell load scenarios. The mechanism will be presented in section two.…”

“…To overcome the limitation of CoMP implementation and enhance the network performance, optimal CoMP clustering should be implemented. In section three, a short review of the CoMP clustering strategies previously proposed will be given followed by our proposed CoMP clustering technique so-called load-aware greedy dynamic CoMP clustering mechanism, which offers the cluster formation on top of our previously proposed DPS CoMP mechanism presented in [11].…”