On Interference Management Techniques in LTE Heterogeneous Networks

One of the most representative challenges of multi-tier heterogeneous network architectures is the interference management among different Radio Access Technologies. In this sense, in order to achieve the potential increase on network capacity forecasted for 5G, the issue of interference must be addressed. Intelligent energy management, as proposed in the growing area of Green Communications could serve as an appealing solution to the interference issue. However developing an optimal energy management plan requires the understanding of the characteristics of 5G cellular networks that could be exploited to improve energy and resources efficiency. In this work we present a study about challenges in energy-efficient communications and technologies as enablers for green solutions and how this challenges can be extended to meet those of the 5G heterogeneous networks, in order to identify possible solutions to address the energy efficiency and interference mitigation issues.

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Challenges in Energy-Efficient Communications as Enablers for Green Solutions on the 5G Heterogeneous Networks

Advances in Wireless Technologies and Telecommunication - Interference Mitigation and Energy Management in 5G Heterogeneous Cellular Networks ◽

10.4018/978-1-5225-1712-2.ch003 ◽

2017 ◽

pp. 58-76

Author(s):

Irma Uriarte-Ramírez ◽

Norma A. Barboza-Tello ◽

Paul Medina-Castro

Keyword(s):

Energy Management ◽

Heterogeneous Networks ◽

Energy Efficient ◽

Interference Mitigation ◽

Interference Management ◽

Network Capacity ◽

Management Plan ◽

Network Architectures ◽

Green Communications ◽

Radio Access

One of the most representative challenges of multi-tier heterogeneous network architectures is the interference management among different Radio Access Technologies. In this sense, in order to achieve the potential increase on network capacity forecasted for 5G, the issue of interference must be addressed. Intelligent energy management, as proposed in the growing area of Green Communications could serve as an appealing solution to the interference issue. However developing an optimal energy management plan requires the understanding of the characteristics of 5G cellular networks that could be exploited to improve energy and resources efficiency. In this work we present a study about challenges in energy-efficient communications and technologies as enablers for green solutions and how this challenges can be extended to meet those of the 5G heterogeneous networks, in order to identify possible solutions to address the energy efficiency and interference mitigation issues.

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Coverage and Energy Efficiency Analysis for Two-Tier Heterogeneous Cellular Networks Based on Matérn Hard-Core Process

Future Internet ◽

10.3390/fi12010001 ◽

2019 ◽

Vol 12 (1) ◽

pp. 1

Author(s):

Jie Yang ◽

Ziyu Pan ◽

Lihong Guo

Keyword(s):

Energy Efficiency ◽

Cellular Networks ◽

Mutual Exclusion ◽

Interference Management ◽

Hard Core ◽

Approximate Expression ◽

Base Stations ◽

Heterogeneous Cellular Networks ◽

Coverage Analysis ◽

Management Techniques

Due to the dense deployment of base stations (BSs) in heterogeneous cellular networks (HCNs), the energy efficiency (EE) of HCN has attracted the attention of academia and industry. Considering its mathematical tractability, the Poisson point process (PPP) has been employed to model HCNs and analyze their performance widely. The PPP falls short in modeling the effect of interference management techniques, which typically introduces some form of spatial mutual exclusion among BSs. In PPP, all the nodes are independent from each other. As such, PPP may not be suitable to model networks with interference management techniques, where there exists repulsion among the nodes. Considering this, we adopt the Matérn hard-core process (MHCP) instead of PPP, in which no two nodes can be closer than a repulsion radius from one another. In this paper, we study the coverage performance and EE of a two-tier HCN modelled by Matérn hard-core process (MHCP); we abbreviate this kind of two-tier HCN as MHCP-MHCP. We first derive the approximate expression of coverage probability of MHCP-MHCP by extending the approximate signal to interference ratio analysis based on the PPP (ASAPPP) method to multi-tier HCN. The concrete SIR gain of the MHCP model relative to the PPP model is derived through simulation and data fitting. On the basis of coverage analysis, we derive and formulate the EE of MHCP-MHCP network. Simulation results verify the correctness of our theoretical analysis and show the performance difference between the MHCP-MHCP and PPP modelled network.

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