An Overview on Active Transmission Techniques for Wireless Scalable Networks

Currently, massive data communication and computing pose a severe challenge on existing wireless network architecture, from various aspects such as data rate, latency, energy consumption and pricing. Hence, it is of vital importance to investigate active wireless transmission for wireless networks. To this end, we first overview the data rate of wireless active transmission. We then overview the latency of wireless active transmission, which is particularly important for the applications of monitoring services. We further overview the spectral efficiency of the active transmission, which is particularly important for the battery-limited Internet of Things (IoT) networks. After these overviews, we give several critical challenges on the active transmission, and we finally present feasible solutions to meet these challenges. The work in this paper can serve as an important reference to the wireless networks and IoT networks.

[1]  Rui Zhao,et al.  Profit maximization in cache-aided intelligent computing networks , 2023, Phys. Commun..

[2]  R. Hu,et al.  Collaborative Cache-Aided Relaying Networks: Performance Evaluation and System Optimization , 2023, IEEE Journal on Selected Areas in Communications.

[3]  Jianghong Ou,et al.  Impact of direct links on Intelligent Reflect Surface-aided MEC networks , 2022, Phys. Commun..

[4]  Yajuan Tang,et al.  Energy-efficient and high-spectrum-efficiency wireless transmission , 2022, EAI Endorsed Trans. Mob. Commun. Appl..

[5]  Junjuan Xia,et al.  Deep reinforcement learning based IRS-assisted mobile edge computing under physical-layer security , 2022, Phys. Commun..

[6]  Yajuan Tang,et al.  Intelligent Distributed Data Storage for Wireless Communications in B5G Networks , 2022, EAI Endorsed Trans. Mob. Commun. Appl..

[7]  Yajuan Tang,et al.  Intelligent Bi-directional Relaying Communication for Edge Intelligence based Industrial IoT Networks , 2022, EAI Endorsed Trans. Ind. Networks Intell. Syst..

[8]  Junjuan Xia,et al.  Task offloading for vehicular edge computing with imperfect CSI: A deep reinforcement approach , 2022, Phys. Commun..

[9]  Junjuan Xia,et al.  Performance analysis for IRS-assisted MEC networks with unit selection , 2022, Phys. Commun..

[10]  G. Karagiannidis,et al.  Efficient Memory-Bounded Optimal Detection for GSM-MIMO Systems , 2022, IEEE Transactions on Communications.

[11]  T. Duong,et al.  Outdated Access Point Selection for Mobile Edge Computing With Cochannel Interference , 2022, IEEE Transactions on Vehicular Technology.

[12]  Fusheng Zhu,et al.  UAV-Aided Multiuser Mobile Edge Computing Networks with Energy Harvesting , 2022, Wireless Communications and Mobile Computing.

[13]  Jing Wang,et al.  Outage Probability Analysis for UAV-Aided Mobile Edge Computing Networks , 2022, EAI Endorsed Trans. Ind. Networks Intell. Syst..

[14]  Junjuan Xia,et al.  Analytical offloading design for mobile edge computing-based smart internet of vehicle , 2022, EURASIP J. Adv. Signal Process..

[15]  Yong Wang,et al.  ALBRL: Automatic Load-Balancing Architecture Based on Reinforcement Learning in Software-Defined Networking , 2022, Wireless Communications and Mobile Computing.

[16]  Jianghong Ou,et al.  Joint offloading design and bandwidth allocation for RIS-aided multiuser MEC networks , 2022, Phys. Commun..

[17]  Junbin Liang,et al.  An Ant Colony Optimization-Based Routing Algorithm for Load Balancing in LEO Satellite Networks , 2022, Wireless Communications and Mobile Computing.

[18]  Mingfu Zhu,et al.  Security Performance Analysis of Relay Networks Based on κ - μ Shadowed Ch , 2022, Wireless Communications and Mobile Computing.

[19]  George K. Karagiannidis,et al.  Distributed Machine Learning for Multiuser Mobile Edge Computing Systems , 2022, IEEE Journal of Selected Topics in Signal Processing.

[20]  Yong Ding,et al.  Efficient Data Integrity Auditing Supporting Provable Data Update for Secure Cloud Storage , 2022, Wireless Communications and Mobile Computing.

[21]  Junjuan Xia,et al.  DQN-based mobile edge computing for smart Internet of vehicle , 2022, EURASIP J. Adv. Signal Process..

[22]  Hua Wang,et al.  Guest editorial: WWWJ special issue of the 21th international Conference on Web Information Systems Engineering (WISE 2020) , 2021, World Wide Web.

[23]  Arumugam Nallanathan,et al.  Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT , 2021, IEEE Transactions on Network Science and Engineering.

[24]  Arumugam Nallanathan,et al.  Dilated Convolution Based CSI Feedback Compression for Massive MIMO Systems , 2021, IEEE Transactions on Vehicular Technology.

[25]  G. Karagiannidis,et al.  Toward Optimally Efficient Search With Deep Learning for Large-Scale MIMO Systems , 2021, IEEE Transactions on Communications.

[26]  Xiaohong Jiang,et al.  Editorial: Special issue on security and privacy in network computing , 2019, World Wide Web.

[27]  Mingfu Zhu,et al.  Security Performance Analysis of Relay Networks Based on κ - μ Shadowed Channels with RHIs and CEEs , 2022 .

[28]  Yanchun Zhang,et al.  Access Control Management in Cloud Environments , 2020 .