QoS performance analysis on carrier aggregation based LTE-A systems

Zhang, L.; Wang, Y. Y.; Huang, Lin; Wang, H. L.; Wang, W. B.

doi:10.1049/cp.2009.1938

Cited by 24 publications

(27 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Channel dependent packet schedulers are more accurate in real life scenarios as they consider more parameters than channel independent schedulers. Most of the previous researchers have used proportional fairness (PF) [5][6][7], Round Robin (RR) [8,9] and other algorithms [10][11][12][13][14][15][16][17] for resource allocation with CA in an LTE-A system. However, some important parameters, such as packet delay or error rate are not considered.…”

Section: Introductionmentioning

confidence: 99%

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

et al. 2017

View full text Add to dashboard Cite

Long term evolution-advanced (LTE-A) system introduces carrier aggregation (CA) technique to improve the user throughput by aggregating multiple component carriers (CCs). Previous research works related to downlink radio resource allocation with carrier aggregation have not considered the delay factor and the error probability. Therefore, the previous methods are unable to provide better quality of service (QoS) compared to the LTE-A standard. This paper considers the radio resource management problem by zooming into the head of line delay, probability of packet loss, and the delay threshold for different types of data. In doing this, several constraints are imposed following the specifications of LTE-A system. Hence, an improved method is developed in this study to enhance the system throughput and to maintain the computational complexity. Extensive simulations were carried out with other well-known methods to verify the overall performance of the proposed method. The result obtained indicates that the proposed method outperforms the previous methods in the measurement of average user throughput, average cell throughput, fairness index, and spectral efficiency.

show abstract

Section: Introductionmentioning

confidence: 99%

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

et al. 2017

View full text Add to dashboard Cite

show abstract

“…The studies done designing PS, and carrier load balancing methods are listed in [8][9][10][11][12][13]. The assumptions made in all these papers are that the UE is assigned either just one CC [8][9][10] or all CCs [11,12].…”

Section: Related Workmentioning

confidence: 99%

“…This is due to the fact that two different UEs in a same cell cannot be allotted a same RB as in (5). In addition, the number of CCs allocated should be in accordance to 3GPP LTEAdvanced specifications as in (10). Hence, the only interference that exists in our case is the inter-cell.…”

Section: Problem Formulationmentioning

confidence: 99%

“…In this study, we are using the fitness as maximization of the throughput under the networks constraints (4) to (10). The fitness function aims at maximizing the throughput in a self-organizing manner which indirectly minimizes the inter-cell interference.…”

Section: Fitness Computationmentioning

confidence: 99%

“…As far as the complexity of the proposed algorithm is concerned, the proposed algorithm relies on the SINR values acquired from the UEs on the direction of the eNB. Once they are received, the PSO algorithm gives near optimal solution with bearable complexity under the network constraints (4) to (10). The plus point of the proposed algorithm is that it totally relies on the local received information without any involvement of any centralized entity, which significantly reduces the information among various cells and also to the network.…”

Section: Counter Examplementioning

confidence: 99%

See 2 more Smart Citations

A self-organized metaheuristic approach towards inter-cell interference management for LTE-Advanced

Shahid

Aslam

Sohaib

et al. 2014

J Wireless Com Network

View full text Add to dashboard Cite

In order to meet the high throughput demand set by international mobile telecommunication union, carrier aggregation is exploited for expanding the bandwidth of up to 100 MHz in Long Term Evolution-Advanced (LTE-A). For achieving the aforementioned bandwidth, a maximum of five component carriers (CCs) can be aggregated as per Release 10 LTE-A. Improper CC selection and scheduling will result in hazardous throughput, fairness, and interference problems. Therefore, a proper CC selection and scheduling algorithm is most important for the overall performance of the network. On the other hand, due to an increased information exchange, centralized network planning is not a suitable choice here. In this study, we are employing a self-organized particle swarm optimization (PSO)-based joint component carrier selection and scheduling (JCCS) algorithm for the downlink. More precisely, the concern of the proposed algorithm is the autonomous distribution of resource blocks (RBs) from the pool of CCs by the base station, with the concern of minimizing the impact of inter-cell interference. Our proposed PSO-based JCCS algorithm results in the maximization of the min-max throughput by managing the inter-cell interference in an appropriate manner. Moreover, the proposed algorithm is compared with the traditional CC selection and scheduling algorithms, i.e., random, round robin, and proportional fair. The comparison is carried out in terms of throughput and fairness, and the calculated percentage gain in the end elaborates the performance improvement by exploiting PSO-based JCCS.

show abstract