A Study on Coverage Problem of Network Planning in LTE-Advanced Relay Networks

Tseng, Fan‐Hsun; Chen, Chi-Yuan; Chou, Li-Der; Wu, Tin-Yu; Chao, Han‐Chieh

doi:10.1109/aina.2012.82

Cited by 13 publications

(16 citation statements)

References 19 publications

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“…We have previously published similar works 19,20,21,22 to this work. We proposed a tree algorithm 19 for increasing reliability in IEEE 802.16j mobile multi-hop relay (MMR) networks.…”

Section: Related Workmentioning

confidence: 65%

“…The compared algorithms are Tree 19 , Supergraph-Tree 21 and Interference-Aware Tree 22 algorithm. The Tree algorithm was designed for the multi-hop relay network in IEEE 802.16j, and the relay stations deployed by S-Tree algorithm were chosen from the unselected candidate positions.…”

Section: Results and Analysismentioning

confidence: 99%

“…However, these proposed algorithms were designed for a MMR network, which is different from the two-hop relaying limitation of a relay network in LTE-Advanced. Therefore, we firstly investigated the characteristics of two-hop relaying and offered proposals in a prior study 21 .…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Set Cover Problem of Coverage Planning in Lte-Advanced Relay Networks

Tseng

Chou

Chao

et al. 2014

ijecs

Self Cite

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Various mobile devices are developing rapidly in contemporary society, such as smart phones and tablet PCs. Users are able to acquire different multimedia services through wireless communication anytime and anywhere. However, the increased demand also gives rise to a problem of insufficient bandwidth. Therefore, a fourth generation mobile telecommunications (4G) technology was proposed and widely investigated. One of the popular technologies is Long Term Evolution Advanced (LTE-Advanced), which was proposed by the Third Generation Project Partnership (3GPP). The Evolved Node B (eNB) and Relay Node (RN) are the major components in an LTE-Advanced network. How best to deploy these two components to extend network coverage and expand performance is a vital issue. In this paper, we utilize an integer linear programming model (ILP) to formulate the coverage problem, and refer to a well-known problem called the Set International Journal of Electronic Commerce Studies 182Cover problem. Then we propose a heuristic algorithm named as the Set Covering algorithm to solve it. The ultimate object is achieving the highest network coverage and capacity with the least uncovered mobile user. In the simulation result, we use MATLAB to simulate a network deployment, and evaluate the planning results. According to the simulation results, we accomplished better network capacity and a higher number of covered users.

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“…We have previously published similar works 19,20,21,22 to this work. We proposed a tree algorithm 19 for increasing reliability in IEEE 802.16j mobile multi-hop relay (MMR) networks.…”

Section: Related Workmentioning

confidence: 65%

Section: Results and Analysismentioning

confidence: 99%

See 1 more Smart Citation

Set Cover Problem of Coverage Planning in Lte-Advanced Relay Networks

Tseng

Chou

Chao

et al. 2014

ijecs

Self Cite

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“…Several methods have been proposed for the BS planning in 3G and 4G network [2]- [6]. A 3G network planning method based on genetic algorithm is presented in [3].…”

Section: Introductionmentioning

confidence: 99%

Multi-objective Evolutionary Algorithm for 4G Base Station Planning

Mai

Liu

Chen

et al. 2013

2013 Ninth International Conference on Computational Intelligence and Security

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Planning of base stations (BS) is one of the fundamental problems in the fourth generation (4G) wireless network design. A new mathematical model for the 4G BS planning is proposed in this paper. The co-channel interference, orthogonal frequency division multiplexing (OFDM), the cell edge rate, the reference signal received power (RSRP) and the base station density are considered in detail in this model. The objectives of the model are to minimum construction cost, maximum coverage and capacity at the same time. It's a multiobjective optimization problem with constraints. So a multiobjective algorithm with a local search operator is designed to solve this model. Simulation results show that the according algorithm with local search operator can give a set of solutions with relatively lower cost, larger coverage, larger capacity and faster speed than the algorithm without local search operator. The effective and efficient of the proposed model can also be identified by the comparison of the solutions.

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“…finding the optimum RNs placement methods. One such method is Enhanced tree (E-Tree) algorithm [201] in which the coverage problem is formulated based on Integer Linear Programming (ILP). By using E-tree algorithm, both elements of the two-hop relaying networks would be placed at the location which has the lowest construction cost.…”

Section: Technical Aspectsmentioning

confidence: 99%

LTE-Advanced Radio Access Enhancements: A Survey

Dehghani

Arshad

MacKenzie

2014

Wireless Pers Commun

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Long Term Evolution Advanced (LTE-Advanced) is the next step in LTE evolution and allows operators to improve network performance and service capabilities through smooth deployment of new techniques and technologies. LTE-Advanced uses some new features on top of the existing LTE standards to provide better user experience and higher throughputs. Some of the most significant features introduced in LTE-Advanced are carrier aggregation, enhancements in heterogeneous networks, coordinated multipoint transmission and reception, enhanced Multiple Input Multiple Output (MIMO) usage and deployment of relay nodes in the radio network. Mentioned features are mainly aimed to enhance the radio access part of the cellular networks. This survey article presents an overview of the key radio access features and functionalities of the LTE-Advanced radio access network, supported by the simulation results. We also provide a detailed review of the literature together with a very rich list of the references for each of the features. An LTE-Advanced roadmap and the latest updates and trends in LTE markets are also presented.

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A Study on Coverage Problem of Network Planning in LTE-Advanced Relay Networks

Cited by 13 publications

References 19 publications

Set Cover Problem of Coverage Planning in Lte-Advanced Relay Networks

Set Cover Problem of Coverage Planning in Lte-Advanced Relay Networks

Multi-objective Evolutionary Algorithm for 4G Base Station Planning

LTE-Advanced Radio Access Enhancements: A Survey

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