Game theoretic handover optimisation for dense small cells heterogeneous networks

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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Game-Theoretic Approaches in Heterogeneous Networks

Game Theory Framework Applied to Wireless Communication Networks - Advances in Wireless Technologies and Telecommunication ◽

10.4018/978-1-4666-8642-7.ch004 ◽

2015 ◽

pp. 88-102

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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Spectral and energy efficiency analysis of uplink heterogeneous networks with small-cells on edge

Physical Communication ◽

10.1016/j.phycom.2014.04.010 ◽

2014 ◽

Vol 13 ◽

pp. 27-41 ◽

Cited By ~ 8

Author(s):

Muhammad Zeeshan Shakir ◽

Hina Tabassum ◽

Khalid A. Qaraqe ◽

Erchin Serpedin ◽

Mohamed-Slim Alouini

Keyword(s):

Energy Efficiency ◽

Heterogeneous Networks ◽

Efficiency Analysis ◽

Small Cells ◽

Energy Efficiency Analysis

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Macrocells-User Protected Interference-Aware Transmit Power Control for LTE-A Heterogeneous Networks

Mobile Information Systems ◽

10.1155/2016/7043235 ◽

2016 ◽

Vol 2016 ◽

pp. 1-12 ◽

Cited By ~ 1

Author(s):

Arbab Waheed Ahmad ◽

Heekwon Yang ◽

Gul Shahzad ◽

Chankil Lee

Keyword(s):

Power Control ◽

Heterogeneous Networks ◽

Small Cell ◽

System Level ◽

Small Cells ◽

Control Technique ◽

Coverage Area ◽

Current Channel ◽

Transmit Power ◽

Transmit Power Control

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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