most citedAdaptive Task Partitioning at Local Device or Remote Edge Server for Offloading in MEC

3 citations · 4 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CR2020

Compressive Sensing based Multi-class Privacy-preserving Cloud Computing

Gajraj Kuldeep, Qi Zhang

In this paper, we design the multi-class privacypreserving cloud computing scheme (MPCC) leveraging compressive sensing for compact sensor data representation and secrecy…

cs.IT2020

Energy Concealment based Compressive Sensing Encryption for Perfect Secrecy for IoT

Gajraj Kuldeep, Qi Zhang

Recent study has shown that compressive sensing (CS) based computationally secure scheme using Gaussian or Binomial sensing matrix in resource-constrained IoT devices is vulnerable…

cs.NI20203 cited

Adaptive Task Partitioning at Local Device or Remote Edge Server for Offloading in MEC

Jianhui Liu, Qi Zhang

Mobile edge computing (MEC) is one of the promising solutions to process computational-intensive tasks for the emerging time-critical Internet-of-Things (IoT) use cases, e.g., virt…

cs.NI20201 cited

Computation Resource Allocation for Heterogeneous Time-Critical IoT Services in MEC

Jianhui Liu, Qi Zhang

Mobile edge computing (MEC) is one of the promising solutions to process computational-intensive tasks within short latency for emerging Internet-of-Things (IoT) use cases, e.g., v…

eess.SP2018

Novel Codebook-based MC-CDMA with Compressive Sensing Multiuser Detection for Sporadic mMTC

Mehmood Alam, Qi Zhang

Massive machine type communication (mMTC) is one of the basic components of the future fifth generation (5G) wireless communication system. In mMTC, the information processing at t…

eess.SP2018

Sequence Block based Compressed Sensing Multiuser Detection for 5G

Mehmood Alam, Qi Zhang

Compressed sensing based multiuser detection (CSMUD) is a promising candidate to cope with the massive connectivity requirements of the massive machine type communication (mMTC) in…