Performance analysis of carrier aggregation for various mobile network implementations scenario based on spectrum allocated

TL;DR

This paper evaluates the performance improvements and complexity trade-offs of aggregating multiple carriers in LTE-A networks, demonstrating that three-carrier aggregation significantly boosts throughput but reduces fairness.

Contribution

It provides a comparative analysis of 2CC and 3CC carrier aggregation using a system-level simulator, highlighting performance gains and increased scheduling complexity.

Findings

3CC aggregation increases average cell throughput significantly.

3CC aggregation reduces fairness index, indicating more complex resource scheduling.

Performance gains depend on spectrum allocation scenarios.

Abstract

Carrier Aggregation (CA) is one of the Long Term Evolution Advanced (LTE-A) features that allow mobile network operators (MNO) to combine multiple component carriers (CCs) across the available spectrum to create a wider bandwidth channel for increasing the network data throughput and overall capacity. CA has a potential to enhance data rates and network performance in the downlink, uplink, or both, and it can support aggregation of frequency division duplexing (FDD) as well as time division duplexing (TDD). The technique enables the MNO to exploit fragmented spectrum allocations and can be utilized to aggregate licensed and unlicensed carrier spectrum as well. This paper analyzes the performance gains and complexity level that arises from the aggregation of three inter-band component carriers (3CC) as compared to the aggregation of 2CC using a Vienna LTE System Level simulator. The results show a considerable growth in the average cell throughput when 3CC aggregations are implemented over the 2CC aggregation, at the expense of reduction in the fairness index. The reduction in the fairness index implies that, the scheduler has an increased task in resource allocations due to the added component carrier. Compensating for such decrease in the fairness index could result into scheduler design complexity. The proposed scheme can be adopted in combining various component carriers, to increase the bandwidth and hence the data rates.