Collision Signal Reception in Fading Channels for MANETs: Combining Fading Channel Estimation and Frame-Collision-Interference Cancellation Based on Restricted Retransmission

Mobile ad-hoc networks (MANETs) boast advan-tages of self-organization, distribution, and heterogeneous characteristics, making them widely applicable in military, firefighting, and medical field. However, the randomly transmission in self-organization networks faces the frame collision challenge. To address this issue, this paper studies a strategy that combines a restricted-retransmission with frame-collision-interference can-cellation (RFC), to identified the collided frames from different users. Additionally, considering the fading channel, this paper proposes a two-user joint fading estimation algorithm based on RFC strategy. Simulation results show that the mean squared error (MSE) of channel estimation and the bit error rate (BER) of demodulation are improved compared to traditional methods.

Authors

Institutions

Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/itnec60942.2024.10733151
Primary Topic
Cooperative Communication and Network Coding
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Collision Signal Reception in Fading Channels for MANETs: Combining Fading Channel Estimation and Frame-Collision-Interference Cancellation Based on Restricted Retransmission

Ben Niu, Changhao Du, Shuai Wang, Siyu Cheng et al.
Cooperative Communication and Network Coding
article

Collision Signal Reception in Fading Channels for MANETs: Combining Fading Channel Estimation and Frame-Collision-Interference Cancellation Based on Restricted Retransmission

Ben Niu, Changhao Du, Shuai Wang, Siyu Cheng, Jinlong Guo
article en

Abstract

Mobile ad-hoc networks (MANETs) boast advan-tages of self-organization, distribution, and heterogeneous characteristics, making them widely applicable in military, firefighting, and medical field. However, the randomly transmission in self-organization networks faces the frame collision challenge. To address this issue, this paper studies a strategy that combines a restricted-retransmission with frame-collision-interference can-cellation (RFC), to identified the collided frames from different users. Additionally, considering the fading channel, this paper proposes a two-user joint fading estimation algorithm based on RFC strategy. Simulation results show that the mean squared error (MSE) of channel estimation and the bit error rate (BER) of demodulation are improved compared to traditional methods.

Beijing Institute of Technology (CN), China South Industries Group (China) (CN), Beijing Satellite Navigation Center (CN)
Openalex Percentile: Top 78%
Cooperative Communication and Network Coding
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.