Cell Search Time Performance Using Same Frequency Spectrum for Heterogeneous Networks Including Indoor Small Cells

In Long Term Evolution-Advanced (LTE-A) heterogeneous networks (HetNets), small cells are deployed within the coverage area of macrocells having 1 : 1 frequency reuse. The coexistence of small cells and a macrocell in the same frequency band poses cross-tier interference which causes outage for macrocells users and/or small cell users. To address this problem, in this paper, we propose two algorithms that consider the received interference level at the evolved NodeB (eNB) while allocating transmit power to the users. In the proposed algorithm, the transmit power of all users is updated according to the target and instantaneous signal-to-noise-plus-interference ratio (SINR) condition as long as the effective received interference at the serving eNB is below the given threshold. Otherwise, if the effective received interference at the eNB is greater than the threshold, the transmit power of small cell users is gradually reduced in order to guarantee the target SINR for all macrocells users, aiming for zero-outage for macrocells users at the cost of an increased outage ratio for small cell users. Further, in the second algorithm, the transmit power of all users is additionally controlled by the power headroom report that considers the current channel condition while updating the transmit power which results in the outage ratio decreasing for small cell users. The extensive system-level simulations show significant improvements in the average throughput and outage ratio when compared with the conventional transmit power control technique.

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Joint Deployment and Mobility Management of Energy Harvesting Small Cells in Heterogeneous Networks

IEEE Access ◽

10.1109/access.2016.2635878 ◽

2017 ◽

Vol 5 ◽

pp. 183-196 ◽

Cited By ~ 18

Author(s):

Guanhua Qiao ◽

Supeng Leng ◽

Ke Zhang ◽

Kun Yang

Keyword(s):

Energy Harvesting ◽

Heterogeneous Networks ◽

Mobility Management ◽

Small Cells

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An Interference Contribution Rate Based Small Cells On/Off Switching Algorithm for 5G Dense Heterogeneous Networks

IEEE Access ◽

10.1109/access.2018.2841044 ◽

2018 ◽

Vol 6 ◽

pp. 29757-29769 ◽

Cited By ~ 3

Author(s):

Bin Shen ◽

Zhenzhu Lei ◽

Xiaoge Huang ◽

Qianbin Chen

Keyword(s):

Heterogeneous Networks ◽

Small Cells ◽

Contribution Rate ◽

Switching Algorithm ◽

Interference Contribution

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Game-Theoretic Approaches in Heterogeneous Networks

Game Theory ◽

10.4018/978-1-5225-2594-3.ch009 ◽

2017 ◽

pp. 204-218

Author(s):

Chih-Yu Wang ◽

Hung-Yu Wei ◽

Mehdi Bennis ◽

Athanasios V. Vasilakos

Keyword(s):

Game Theory ◽

Heterogeneous Networks ◽

Small Cells ◽

Efficient Manner ◽

Intercell Interference ◽

Lte Advanced ◽

Game Theoretic ◽

Promising Solution ◽

Cost Efficient ◽

Coverage Holes

Improving capacity and coverage is one of the main issues in next-generation wireless communication. Heterogeneous networks (HetNets), which is currently investigated in LTE-Advanced standard, is a promising solution to enhance capacity and eliminate coverage holes in a cost-efficient manner. A HetNet is composed of existing macrocells and various types of small cells. By deploying small cells into the existing network, operators enhance the users' quality of service which are suffering from severe signal degradation at cell edges or coverage holes. Nevertheless, there are numerous challenges in integrating small cells into the existing cellular network due to the characteristics: unplanned deployment, intercell interference, economic potential, etc. Recently, game theory has been shown to be a powerful tool for investigating the challenges in HetNets. Several game-theoretic approaches have been proposed to model the distributed deployment and self-organization feature of HetNets. In this chapter, the authors first give an overview of the challenges in HetNets. Subsequently, the authors illustrate how game theory can be applied to solve issues related to HetNets.

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