Vertical Handover Analysis for Randomly Deployed Small Cells in Heterogeneous Networks

2020 ◽  
Vol 19 (4) ◽  
pp. 2282-2292 ◽  
Author(s):  
Tho Minh Duong ◽  
Sungoh Kwon
Keyword(s):  
Heterogeneous Networks ◽  
Vertical Handover ◽  
Small Cells

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

2014 ◽  
Vol 13 ◽  
pp. 27-41 ◽  
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

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

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
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.

Performance Analysis of Handover Schemes in Heterogeneous Networks

2018 ◽  
Vol 27 (11) ◽  
pp. 1850177 ◽  
Author(s):  
A. Bagubali ◽  
Tanmay Verma ◽  
Anurag Anand ◽  
V. Prithiviraj ◽  
P. S. Mallick
Keyword(s):  
Performance Analysis ◽  
Heterogeneous Networks ◽  
Data Transfer ◽  
Vertical Handover ◽  
Mobile Systems ◽  
Network Services ◽  
Mobile Networking ◽  
Handoff Delay ◽  
Recent Trends

Internet protocol (IP)-based mobile systems are ushering new and faster technologies in wireless mobile networking. Therefore, the expectations from these network services with respect to data transfer rate and quality of service (QoS) are high. As such, meeting these requirements is the recent trend in modern wireless technologies. An important aspect regarding such improvements is the modification of handoff schemes between different networks. In this paper, we are focusing on the recent trends based on seamless handoff scheme in heterogeneous networks such as worldwide interoperability for microwave access (WiMAX) and long term evolution (LTE). The development of the session initiation protocol (SIP) Prior-INVITE scheme is an improvement on the earlier used SIP Re-INVITE method, which comes a long way in decreasing the average handoff delay. The performance analysis using software simulation on account of various parameters, such as handoff delay, cost of signaling and packet loss rate are accomplished in this work. The performance analysis demonstrates that the proposed scheme outperforms the ordinary cross-layer scheme and noncross-layer scheme in a vertical handover scenario.

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

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 183-196 ◽  
Author(s):  
Guanhua Qiao ◽  
Supeng Leng ◽  
Ke Zhang ◽  
Kun Yang
Keyword(s):  
Energy Harvesting ◽  
Heterogeneous Networks ◽  
Mobility Management ◽  
Small Cells

WOA-NN: a decision algorithm for vertical handover in heterogeneous networks

2018 ◽  
Vol 26 (1) ◽  
pp. 165-180 ◽  
Author(s):  
Divya Parambanchary ◽  
V. Malleswara Rao
Keyword(s):  
Heterogeneous Networks ◽  
Vertical Handover ◽  
Decision Algorithm

Game-Theoretic Approaches in Heterogeneous Networks

Game Theory ◽  
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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