Bit-Flipping Helper-Assisted Lossy Communications: Performance Analyses Over Fading Multiple Access Channels
The primary objective of this article is to establish an analytical framework for evaluating the rate-distortion and the outage probability performance in […]
Rate-Distortion and Outage Probability Analyses for Single Helper Assisted Lossy Communications
The primary objective of this paper is to investigate the performance improvement provided by a helper, with the aim of applications to […]
Power Allocation for Distributed Compressive Sensing with 1-Bit Quantization over Noisy Channels
Cost-efficient implementation with a low-complexity analog-to-digital converter is necessary for the sensor nodes in the internet of things. In the paper, we […]
Signal Reconstruction Performance under Quantized Noisy Compressed Sensing
We study rate-distortion (RD) performance of various single-sensor compressed sensing (CS) schemes for acquiring sparse signals via quantized/encoded noisy linear measurements, motivated […]
Binary Data Gathering With a Helper in Internet of Things
This paper focuses on one-helper assisted binary data gathering networks, for example, such as in Internet of Things, where a destination makes […]
An Analysis of Performance Improvement by a Helper for Wireless Sensor Networks
Wireless sensor networks (WSNs) are the core component in the big data era. Due to the unreliable transmission environment, it is significantly […]
Performance Analysis of Distortion-Acceptable Cooperative Communications in Wireless Sensor Networks for Internet of Things
This paper analyzes the performance limit of cooperative communications in wireless sensor networks (WSNs), with the aim of utilizing the analytical results […]
An Efficiency-Complexity Controllable Rate Adaptive Lossy Source Coding-Hybrid Majority Voting Code
This letter proposes a practical source coding scheme, so-called hybrid majority voting (HMV) code, for lossy compression with a discrete memoryless source. […]