Small Cells - Effective Capacity Relief Option for Heterogeneous Networks

2012 ◽  
Author(s):  
Michael Hughes ◽  
Vladan M. Jovanovic
Keyword(s):  
Heterogeneous Networks ◽  
Small Cells ◽  
Effective Capacity

scholarly journals A Comparative Analysis of Wi-Fi Offloading and Cooperation in Small-Cell Network

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1493
Author(s):  
Ayesha Ayub ◽  
Sobia Jangsher ◽  
M. Majid Butt ◽  
Abdur Rahman Maud ◽  
Farrukh A. Bhatti
Keyword(s):  
Small Cell ◽  
Base Stations ◽  
Small Cells ◽  
Effective Capacity ◽  
Rate Enhancement ◽  
Cell Network ◽  
Small Cell Network ◽  
User Throughput ◽  
Average User ◽  
Cell Cooperation

Small cells deliver cost-effective capacity and coverage enhancement in a cellular network. In this work, we present the interplay of two technologies, namely Wi-Fi offloading and small-cell cooperation that help in achieving this goal. Both these technologies are also being considered for 5G and B5G (Beyond 5G). We simultaneously consider Wi-Fi offloading and small-cell cooperation to maximize average user throughput in the small-cell network. We propose two heuristic methods, namely Sequential Cooperative Rate Enhancement (SCRE) and Sequential Offloading Rate Enhancement (SORE) to demonstrate cooperation and Wi-Fi offloading, respectively. SCRE is based on cooperative communication in which a user data rate requirement is satisfied through association with multiple small-cell base stations (SBSs). However, SORE is based on Wi-Fi offloading, in which users are offloaded to the nearest Wi-Fi Access Point and use its leftover capacity when they are unable to satisfy their rate constraint from a single SBS. Moreover, we propose an algorithm to switch between the two schemes (cooperation and Wi-Fi offloading) to ensure maximum average user throughput in the network. This is called the Switching between Cooperation and Offloading (SCO) algorithm and it switches depending upon the network conditions. We analyze these algorithms under varying requirements of rate threshold, number of resource blocks and user density in the network. The results indicate that SCRE is more beneficial for a sparse network where it also delivers relatively higher average data rates to cell-edge users. On the other hand, SORE is more advantageous in a dense network provided sufficient leftover Wi-Fi capacity is available and more users are present in the Wi-Fi coverage area.

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
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