A pilot contamination avoidance based on pilot pattern design for ultra-dense network

China Communications ◽

10.23919/jcc.2020.12.017 ◽

2020 ◽

Vol 17 (12) ◽

pp. 235-246

Author(s):

Jie Huang ◽

Fan Yang ◽

Yiwen Gao ◽

Zhiming Wang ◽

Jun Zhong

Keyword(s):

Pilot Contamination ◽

Dense Network ◽

Pattern Design ◽

Ultra Dense Network ◽

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A Multi-Attribute Handover Algorithm for QoS Enhancement in Ultra Dense Network

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2021.3070337 ◽

2021 ◽

pp. 1-1

Author(s):

Kai Sun ◽

Jiarun Yu ◽

Wei Huang ◽

Haijun Zhang ◽

Victor C.M. Leung

Keyword(s):

Dense Network ◽

Ultra Dense Network ◽

Handover Algorithm

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Energy-Efficient Ultra-Dense Network Using LSTM-based Deep Neural Network

IEEE Transactions on Wireless Communications ◽

10.1109/twc.2021.3061577 ◽

2021 ◽

pp. 1-1

Author(s):

Seungnyun Kim ◽

Junwon Son ◽

Byonghyo Shim

Keyword(s):

Neural Network ◽

Energy Efficient ◽

Deep Neural Network ◽

Dense Network ◽

Ultra Dense Network

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Effective capacity-aware resource allocation for 5G ultra dense network with hybrid access mode

Proceedings of the Conference on Research in Adaptive and Convergent Systems - RACS '19 ◽

10.1145/3338840.3355666 ◽

2019 ◽

Author(s):

Hasan Shamim ◽

Haibo Zhang ◽

Cissoko Moussa ◽

Kaijian Liu

Keyword(s):

Resource Allocation ◽

Effective Capacity ◽

Dense Network ◽

Hybrid Access ◽

Access Mode ◽

Ultra Dense Network

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User-centric Joint Interference Rejection Method in Ultra Dense Network

2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) ◽

10.1109/icspcc50002.2020.9259553 ◽

2020 ◽

Author(s):

Haoyang Qin ◽

Hui Li ◽

Wenjie Zhang

Keyword(s):

Interference Rejection ◽

Dense Network ◽

Rejection Method ◽

User Centric ◽

Ultra Dense Network

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User Performance in a 5G Multi-connectivity Ultra-Dense Network City Scenario

2020 IEEE 45th Conference on Local Computer Networks (LCN) ◽

10.1109/lcn48667.2020.9314774 ◽

2020 ◽

Author(s):

Jose Perdomo ◽

Marten Ericsson ◽

Mats Nordberg ◽

Karl Andersson

Keyword(s):

User Performance ◽

Dense Network ◽

Ultra Dense Network

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Performance analysis of pilot pattern design for channel estimation in LTE downlink

2014 IEEE Antennas and Propagation Society International Symposium (APSURSI) ◽

10.1109/aps.2014.6904536 ◽

2014 ◽

Author(s):

F.Z Bouchibane ◽

K Ghanem ◽

M Bensebti

Keyword(s):

Performance Analysis ◽

Channel Estimation ◽

Pattern Design ◽

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Centralization and Collaboration in 5G Ultra-dense Network Architecture

Lecture Notes in Electrical Engineering - Signal and Information Processing, Networking and Computers ◽

10.1007/978-981-13-1733-0_32 ◽

2018 ◽

pp. 261-270 ◽

Author(s):

Ao Shen ◽

Bao Guo ◽

Yang Zhang ◽

Yi Liu ◽

Peng Cheng Liu ◽

...

Keyword(s):

Network Architecture ◽

Dense Network ◽

Ultra Dense Network

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Overview on Interference Management Technology for Ultra-Dense Network

OALib ◽

10.4236/oalib.1104675 ◽

2018 ◽

Vol 05 (06) ◽

pp. 1-14

Author(s):

Danqing Zhang ◽

Xinji Tian

Keyword(s):

Interference Management ◽

Dense Network ◽

Management Technology ◽

Ultra Dense Network

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LBS Based Resource Allocation in Ultra-Dense Network with Joint COMP Scenarios

Journal of Communications ◽

10.12720/jcm.15.5.433-438 ◽

2020 ◽

pp. 433-438

Author(s):

Ho Kyung Yu ◽

◽

Sung Hyun Oh ◽

Jeong Gon Kim

Keyword(s):

Resource Allocation ◽

Dense Network ◽

Ultra Dense Network

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Joint APs selection and resource allocation for self-healing in ultra dense network

2016 International Conference on Computer, Information and Telecommunication Systems (CITS) ◽

10.1109/cits.2016.7546425 ◽

2016 ◽

Author(s):

Yiming Liu ◽

Xi Li ◽

Hong Ji ◽

Ke Wang ◽

Heli Zhang

Keyword(s):

Resource Allocation ◽

Self Healing ◽

Dense Network ◽

Ultra Dense Network

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