scholarly journals Cognitive Interference Management Techniques for the Spectral Co-existence of GSO and NGSO Satellites

2017 ◽  
pp. 178-190
Author(s):  
Ameneh Pourmoghadas ◽  
Shree Krishna Sharma ◽  
Symeon Chatzinotas ◽  
Björn Ottersten
Keyword(s):  
Interference Management ◽  
Cognitive Interference ◽  
Management Techniques

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.

Cognitive Interference Management in Heterogeneous Femto-Macro Cell Networks

2011 ◽  
Author(s):  
Sunil Kaimaletu ◽  
Rajet Krishnan ◽  
Sheetal Kalyani ◽  
Nadeem Akhtar ◽  
Bhaskar Ramamurthi
Keyword(s):  
Interference Management ◽  
Cognitive Interference ◽  
Macro Cell ◽  
Cell Networks

scholarly journals A Survey of Self-Interference Management Techniques for Single Frequency Full Duplex Systems

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 30242-30268 ◽  
Author(s):  
Chinaemerem David Nwankwo ◽  
Lei Zhang ◽  
Atta Quddus ◽  
Muhammad Ali Imran ◽  
Rahim Tafazolli
Keyword(s):  
Interference Management ◽  
Full Duplex ◽  
Single Frequency ◽  
Management Techniques ◽  
Duplex Systems

scholarly journals Resource Allocation and Interference Management Techniques for OFDM-Based VLC Atto-Cells

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 127431-127439
Author(s):  
Asmaa Ibrahim ◽  
Tawfik Ismail ◽  
Khaled F. Elsayed ◽  
M. Saeed Darweesh ◽  
Josep Prat
Keyword(s):  
Resource Allocation ◽  
Interference Management ◽  
Management Techniques

scholarly journals Review on Femto-cell Networks Interference Management Techniques

2018 ◽  
Vol 10 (4) ◽  
pp. 1248-1262
Author(s):  
Khalid Sheikhidris Mohamed ◽  
Mohamad Yusoff Alias ◽  
Mardeni Roslee
Keyword(s):  
Interference Management ◽  
Management Techniques ◽  
Cell Networks

Interference Management Techniques for Device-to-Device Communications

2021 ◽  
pp. 383-409
Author(s):  
Weston Mwashita ◽  
Marcel Ohanga Odhiambo
Keyword(s):  
Mobile Networks ◽  
Interference Management ◽  
Research Community ◽  
Comprehensive Analysis ◽  
D2d Communication ◽  
Next Generation ◽  
Next Generation Mobile Networks ◽  
Device To Device ◽  
Management Techniques ◽  
Art Research

The snowballing of many different electronic gadgets connected to different networks and to the internet is a clear indication that the much-anticipated internet of things (IoT) is fast becoming a reality. It is generally agreed that the next generation mobile networks should offer wireless connection to anything and anyone with a proper enabling device at any time leading to the full realization of IoT. Device-to device (D2D) communication is one technology that the research community believes will aid the implementation of the next generation of mobile networks, specifically 5G. Full roll out of D2D is however being impeded by the resulting interference. This chapter looks at the state-of-the-art research works on interference management technologies proposed for device-to-device communications. A comprehensive analysis of the proposed schemes is given and open challenges and issues that need to be considered by researchers in D2D communication for it to become a key enabler for 5G technology are highlighted and recommendations provided.

Interference Management Techniques for Device-to-Device Communications

2019 ◽  
pp. 219-245 ◽  
Author(s):  
Weston Mwashita ◽  
Marcel Ohanga Odhiambo
Keyword(s):  
Mobile Networks ◽  
Interference Management ◽  
Research Community ◽  
Comprehensive Analysis ◽  
D2d Communication ◽  
Next Generation ◽  
Next Generation Mobile Networks ◽  
Device To Device ◽  
Management Techniques ◽  
Art Research

The snowballing of many different electronic gadgets connected to different networks and to the internet is a clear indication that the much-anticipated internet of things (IoT) is fast becoming a reality. It is generally agreed that the next generation mobile networks should offer wireless connection to anything and anyone with a proper enabling device at any time leading to the full realization of IoT. Device-to device (D2D) communication is one technology that the research community believes will aid the implementation of the next generation of mobile networks, specifically 5G. Full roll out of D2D is however being impeded by the resulting interference. This chapter looks at the state-of-the-art research works on interference management technologies proposed for device-to-device communications. A comprehensive analysis of the proposed schemes is given and open challenges and issues that need to be considered by researchers in D2D communication for it to become a key enabler for 5G technology are highlighted and recommendations provided.

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