[HTML][HTML] Comprehensive optimization of energy consumption and delay performance for green communication in internet of things

J Wang, C Hu, A Liu - Mobile Information Systems, 2017 - hindawi.com
Energy efficiency as well as fast data transmission is vital to green communications-based
applications for Internet of Things (IoT). Wireless sensors, which constitute one of the …

Future Prospects and Challenges of On-Demand Mobility Management Solutions

M Mukhtar, F Yunus, J Li, T Mahmood, YAA Ali - IEEE Access, 2023 - ieeexplore.ieee.org
Generally, mobility management (MM) solutions are centralized, which means only one
entity controls the mobility-related tasks of mobile nodes connected to the network. However …

Spatio-temporal Bayesian learning for mobile edge computing resource planning in smart cities

L Ale, N Zhang, SA King, J Guardiola - ACM Transactions on Internet …, 2021 - dl.acm.org
A smart city improves operational efficiency and comfort of living by harnessing techniques
such as the Internet of Things (IoT) to collect and process data for decision-making. To better …

Safeguarding the ultra-dense networks with the aid of physical layer security: A review and a case study

Y Wang, Z Miao, L Jiao - IEEE Access, 2016 - ieeexplore.ieee.org
In the wake of the extensive application of the fourth generation system, investigations of
new technologies have been moving ahead vigorously to embrace the next generation …

Outage probability of device to device communications underlaying cellular network in Suzuki fading channel

H Ghavami, SS Moghaddam - IEEE Communications Letters, 2017 - ieeexplore.ieee.org
Radio resource allocation in device-to-device (D2D) communications can be optimized by
minimizing outage probability or maximizing throughput. In this letter, we derive two closed …

Confidence aware deep learning driven wireless resource allocation in shared spectrum bands

C Ganewattha, Z Khan, M Latva-Aho… - IEEE Access, 2022 - ieeexplore.ieee.org
Deep learning (DL) driven proactive resource allocation (RA) is a promising approach for
the efficient management of network resources. However, DL models typically have a …

[HTML][HTML] New retail marketing strategy combining virtual reality and 5G mobile communication

X Zhang - Mathematical Problems in Engineering, 2021 - hindawi.com
At present, Chinaʼs retail industry has been completely opened to the outside world, and it
is exactly the same. The retail industry has become one of Chinaʼs most market-oriented …

[HTML][HTML] Transfer learning-based channel estimation in orthogonal frequency division multiplexing systems using data-nulling superimposed pilots

C Qing, L Dong, L Wang, G Ling, J Wang - Plos one, 2022 - journals.plos.org
Data-nulling superimposed pilot (DNSP) effectively alleviates the superimposed interference
of superimposed training (ST)-based channel estimation (CE) in orthogonal frequency …

Cost-efficient resource provisioning in cloud assisted mobile edge computing

X Ma, S Zhang, P Yang, N Zhang… - … 2017-2017 IEEE …, 2017 - ieeexplore.ieee.org
Mobile edge computing (MEC) is emerging as an effective computing paradigm which
alleviates the conflict between computation-intensive mobile applications and resource …

ELM-based frame synchronization in nonlinear distortion scenario using superimposed training

C Qing, W Yu, S Tang, C Rao, J Wang - IEEE Access, 2021 - ieeexplore.ieee.org
The requirement of high spectrum efficiency puts forward higher requirements on frame
synchronization (FS) in wireless communication systems. Meanwhile, a large number of …