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

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 29757-29769 ◽  
Author(s):  
Bin Shen ◽  
Zhenzhu Lei ◽  
Xiaoge Huang ◽  
Qianbin Chen
Keyword(s):  
Heterogeneous Networks ◽  
Small Cells ◽  
Contribution Rate ◽  
Switching Algorithm ◽  
Interference Contribution

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.

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

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.

scholarly journals Downlink Beamforming for Energy-Efficient Heterogeneous Networks With Massive MIMO and Small Cells

2018 ◽  
Vol 17 (5) ◽  
pp. 3386-3400 ◽  
Author(s):  
Long D. Nguyen ◽  
Hoang Duong Tuan ◽  
Trung Q. Duong ◽  
Octavia A. Dobre ◽  
H. Vincent Poor
Keyword(s):  
Heterogeneous Networks ◽  
Energy Efficient ◽  
Massive Mimo ◽  
Small Cells ◽  
Downlink Beamforming

An Alternating Optimization Algorithm for Energy Efficiency in Heterogeneous Networks

2018 ◽  
Vol 4 (1) ◽  
pp. 1 ◽  
Author(s):  
Kha Ha ◽  
Tien Ha
Keyword(s):  
Energy Efficiency ◽  
Heterogeneous Networks ◽  
Optimization Problems ◽  
Minimum Mean Square Error ◽  
Minimum Energy ◽  
Iterative Algorithms ◽  
Base Station ◽  
Small Cells ◽  
Total System ◽  
Design Problems

This paper studies the problems of precoding designs to achieve the energy efficiency (EE) in the uplink heterogeneous networks in which the multiple small cells are deployed in a macro-cell.  We consider two design problems which maximize either the total system energy efficiency (SEE) or the minimum energy efficiency (MinEE) among users subject to the transmit power constraints at each user and interference constraints caused to the macro base station. Since the optimization problems are non-convex fractional programming in matrix variables, it cannot be straightforward to obtain the optimal solutions. To tackle with the non-convexity challenges of the design problems, we adopt the relationships between the minimum mean square error (MMSE) and achievable data rate to recast the EE problems into ones more amenable. Then, we employ the block coordinate ascent (BCA) and the Dinkelbach methods to develop efficient iterative algorithms in which the closed form solutions are obtained or the semi-definite programming (SDP) problems are solved at each iteration. Simulation results are provided to investigate the EE performance of the EE optimization as compared to those of the spectral efficiency (SE) optimization.

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