DRX-based energy-efficient supervised machine learning algorithm for mobile communication networks

[1]  Yuanzhang Li,et al.  A Covert Channel Over VoLTE via Adjusting Silence Periods , 2018, IEEE Access.

[2]  Sebastian Möller,et al.  Impairment Factor Framework for Wide-Band Speech Codecs , 2006, IEEE Transactions on Audio, Speech, and Language Processing.

[3]  Muhammad Ali Imran,et al.  How much energy is needed to run a wireless network? , 2011, IEEE Wireless Communications.

[4]  Lazaros F. Merakos,et al.  Quality of experience management in mobile cellular networks: key issues and design challenges , 2015, IEEE Communications Magazine.

[5]  Mikko Valkama,et al.  Wake-Up Radio Based Access in 5G Under Delay Constraints: Modeling and Optimization , 2019, IEEE Transactions on Communications.

[6]  Venkatesh Krishnan,et al.  Improved error resilience for volte and VoIP with 3GPP EVS channel aware coding , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[7]  Takao Kobayashi,et al.  Statistical Parametric Speech Synthesis Using Deep Gaussian Processes , 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[8]  Jeroen Hoebeke,et al.  VIoT: Voice over Internet of Things , 2020, 2020 Global Internet of Things Summit (GIoTS).

[9]  Gang Feng,et al.  Online Learning-Based Discontinuous Reception (DRX) for Machine-Type Communications , 2019, IEEE Internet of Things Journal.

[10]  Mehdi Bennis,et al.  A Speculative Study on 6G , 2019, IEEE Wireless Communications.

[11]  Gergely Pongrácz,et al.  Service aware adaptive DRX scheme , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

[12]  Muhammad Ali Imran,et al.  Semi-Persistent RRC Protocol for Machine-Type Communication Devices in LTE Networks , 2015, IEEE Access.

[13]  Hyun-Ho Choi,et al.  Energy-delay tradeoff analysis and enhancement in LTE power-saving mechanisms , 2013, 2013 IEEE International Conference on Consumer Electronics (ICCE).

[14]  Alberto Leon-Garcia,et al.  Green Cloud Multimedia Networking: NFV/SDN Based Energy-Efficient Resource Allocation , 2020, IEEE Transactions on Green Communications and Networking.

[15]  Hsiao-Hwa Chen,et al.  Delay and Power Consumption in LTE/LTE-A DRX Mechanism With Mixed Short and Long Cycles , 2016, IEEE Transactions on Vehicular Technology.

[16]  Carsten Bockelmann,et al.  Massive machine-type communications in 5g: physical and MAC-layer solutions , 2016, IEEE Communications Magazine.

[17]  Xue Liu,et al.  SiFi: exploiting VoIP silence for WiFi energy savings insmart phones , 2011, UbiComp '11.

[18]  Sanjay Ranka,et al.  Handbook of Energy-Aware and Green Computing, Volume 1 , 2012 .

[19]  Tiago H. Falk,et al.  Why is Multimedia Quality of Experience Assessment a Challenging Problem? , 2019, IEEE Access.

[20]  P. Mehta,et al.  Voice over IP , 2001 .

[21]  Navrati Saxena,et al.  Artificial Intelligence-Based Discontinuous Reception for Energy Saving in 5G Networks , 2019, Electronics.

[22]  Ling Liu,et al.  On exploiting the on-off characteristics of human speech to conserve energy for the downlink VoIP in WiMAX systems , 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.

[23]  István Gódor,et al.  Revitalizing DRX for enhanced mobile sleep modes , 2019, Comput. Commun..

[24]  Tarik Taleb,et al.  The Road beyond 5G: A Vision and Insight of the Key Technologies , 2020, IEEE Network.

[25]  Hirley Alves,et al.  Six Key Features of Machine Type Communication in 6G , 2020, 2020 2nd 6G Wireless Summit (6G SUMMIT).

[26]  Geoffrey Ye Li,et al.  First 20 Years of Green Radios , 2019, IEEE Transactions on Green Communications and Networking.

[27]  Mikko Valkama,et al.  Optimized Wake-Up Scheme with Bounded Delay for Energy-Efficient MTC , 2019, 2019 IEEE Global Communications Conference (GLOBECOM).

[28]  Hajduczenia Marek,et al.  EPONのDOCSISプロビジョニング(DPoE):アーキテクチャとサービス , 2012 .

[29]  Ismat Aldmour,et al.  Network Selection Problems - QoE vs QoS Who is the Winner? , 2015 .

[30]  Sandra Sendra,et al.  A Survey on 5G Usage Scenarios and Traffic Models , 2020, IEEE Communications Surveys & Tutorials.

[31]  M. J. Narasimha,et al.  Speech over VoIP Networks: Advanced Signal Processing and System Implementation , 2012, IEEE Circuits and Systems Magazine.

[32]  Pascal Bouvry,et al.  VoIP Traffic Modelling Using Gaussian Mixture Models, Gaussian Processes and Interactive Particle Algorithms , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).

[33]  Yi-Bing Lin,et al.  Modeling UMTS discontinuous reception mechanism , 2005, IEEE Transactions on Wireless Communications.

[34]  Navrati Saxena,et al.  Deep‐DRX: A framework for deep learning–based discontinuous reception in 5G wireless networks , 2019, Trans. Emerg. Telecommun. Technol..

[35]  Kay Connelly,et al.  Toward total quality of experience: A QoE model in a communication ecosystem , 2012, IEEE Communications Magazine.

[36]  Tomoko Matsui,et al.  Music Genre and Emotion Recognition Using Gaussian Processes , 2014, IEEE Access.

[37]  Antonio D. Masegosa,et al.  A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective , 2019, IEEE Access.

[38]  Alex Gorod,et al.  Evolving Toolbox for Complex Project Management , 2019 .

[39]  Giampaolo Bella,et al.  VoIP Can Still Be Exploited - Badly , 2020, 2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC).

[40]  Antonio Liotta,et al.  QoE-aware QoS management , 2008, MoMM.

[41]  Robert Zopf.  Real-time Transport Protocol (RTP) Payload for Comfort Noise (CN) , 2002, RFC.