Abstract
Abstract 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.
Highlights
Long Term Evolution-Advanced (LTE-A) is an evolving standard that will give the generation mobile networks high data rates of 1Gbps for low mobility and 100 Mbps for high mobility [1]
7 Conclusions In this study, we investigated the self-organized particle swarm optimization (PSO)-based joint component carrier selection and scheduling (JCCS) algorithm for inter-cell interference management in LTE-Advanced
In order to alleviate these problems, a self-organized PSO-based JCCS is proposed for the downlink in LTE-Advanced
Summary
Long Term Evolution-Advanced (LTE-A) is an evolving standard that will give the generation mobile networks high data rates of 1Gbps for low mobility and 100 Mbps for high mobility [1]. We are proposing a joint CC selection and scheduling algorithm in a self-organizing manner by exploiting a particle. PSO, a meta-heuristic algorithm, is exploited here for distribution of RBs among the pool of CCs to UEs. The proposed algorithm is applicable for both intra-band and inter-band CA scenarios. In [15], the authors proposed the received signal power based CC selection algorithm The authors in [16] propose an autonomous CC selection for the femtocell network They employed the expected interference management rather than the acquired information that we are exploiting in this study. The authors in [19] propose a distributed self-organization by exploiting Gibb's sampler concept They considered potential delay for throughput optimization. An important point of the proposed algorithm is that the selforganization concept has been exploited in which the eNB carries out the scheduling task in an autonomous manner
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