scholarly journals Decoupled Downlink-Uplink Coverage Analysis with Interference Management for Enriched Heterogeneous Cellular Networks

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 6250-6260 ◽  
Author(s):  
Fazal Muhammad ◽  
Ziaul Haq Abbas ◽  
Ghulam Abbas ◽  
Lei Jiao
Keyword(s):  
Cellular Networks ◽  
Interference Management ◽  
Heterogeneous Cellular Networks ◽  
Coverage Analysis

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

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.

Coverage analysis of ultra-dense heterogeneous cellular networks with interference management

2019 ◽  
Vol 26 (3) ◽  
pp. 2013-2025 ◽  
Author(s):  
Muhammad Sajid Haroon ◽  
Ziaul Haq Abbas ◽  
Ghulam Abbas ◽  
Fazal Muhammad
Keyword(s):  
Cellular Networks ◽  
Interference Management ◽  
Heterogeneous Cellular Networks ◽  
Coverage Analysis

scholarly journals Uplink Interference Management in Massive MIMO Enabled Heterogeneous Cellular Networks

2016 ◽  
Vol 5 (5) ◽  
pp. 560-563 ◽  
Author(s):  
Anqi He ◽  
Lifeng Wang ◽  
Yue Chen ◽  
Kai-Kit Wong ◽  
Maged Elkashlan
Keyword(s):  
Cellular Networks ◽  
Massive Mimo ◽  
Interference Management ◽  
Heterogeneous Cellular Networks ◽  
Uplink Interference

scholarly journals Proactive Uplink Interference Management for Nonuniform Heterogeneous Cellular Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 55501-55512 ◽  
Author(s):  
Muhammad Sajid Haroon ◽  
Fazal Muhammad ◽  
Ziaul Haq Abbas ◽  
Ghulam Abbas ◽  
Nisar Ahmed ◽  
...  
Keyword(s):  
Cellular Networks ◽  
Interference Management ◽  
Heterogeneous Cellular Networks ◽  
Uplink Interference

Pricing Methodology and Its Applications in Cognitive Radio and Multi-Tier Heterogeneous Cellular Networks

2017 ◽  
pp. 287-317
Author(s):  
Chungang Yang ◽  
Jia Xiao ◽  
Lingxia Wang ◽  
Pengyu Huang ◽  
Jiandong Li
Keyword(s):  
Cognitive Radio ◽  
Cellular Networks ◽  
Interference Management ◽  
Algorithm Design ◽  
Small Cells ◽  
Heterogeneous Cellular Networks ◽  
Research Directions ◽  
Network Applications ◽  
Critical Problems ◽  
Pricing Theory

In this chapter, we concentrate on different technical applications and research directions of pricing theory and methodology, where we investigate following technical applications and functions of pricing including cooperative incentive mechanism design, Pareto- and social optimality improvement, distributed algorithm design with the low signaling overhead. We first clarify different concepts of pricing, summarize the motivation, present a taxonomy according to these different technical applications. Then, we survey applications of pricing theory and methodology with understandings and observations in cognitive radio and multi-tier heterogeneous cellular networks. We emphasize some of the recent critical problems, such as the cooperation incentive, resource and interference management and economics of small cells. Finally, we conclude this chapter with the possible research directions and more potential network applications of pricing theory and methodology.

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