PBN-CSMA/CA: A Power Back-Off NOMA-Based CSMA/CA Protocol for Ad Hoc Networks

Carrier-sense multiple access with collision avoidance (CSMA/CA) is one of the fundamental medium access control (MAC) protocols for ad hoc networks. As a network’s size increases, its throughput degrades substantially because of packet collisions. To reduce the collision probability, combining non-orthogonal multiple access (NOMA) with CSMA/CA is a promising solution. However, existing NOMA-CSMA/CA protocols adopt distributed power selection and channel inversion power control, resulting in a high power collision probability and limiting the number of power levels. To address these issues, we propose a power back-off NOMA-based CSMA/CA (PBN-CSMA/CA) protocol for ad hoc networks. The proposed protocol achieves centralized power allocation, avoiding power collisions by employing the Zadoff-Chu (ZC) sequence and the power level allocation (PLA) frame. Additionally, power back-off (PB) control is used to set the transmission power, which expands the number of power levels and gives full play to the performance advantages of NOMA. To analyze the performance comprehensively, the closed-form expressions of the average outage probability, normalized saturation throughput, average packet delay and transmission energy consumption are theoretically analyzed. Both the analytical and simulation results demonstrate that the PBN-CSMA/CA protocol outperforms the existing NOMA-CSMA/CA and traditional CSMA/CA protocols, with significant throughput gains and delay reductions.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Mobile Computing
Published
2025-03-13
DOI
https://doi.org/10.1109/tmc.2025.3551340
Citations
1
Primary Topic
Mobile Ad Hoc Networks
Type
article
Field-Weighted Citation Impact
1.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PBN-CSMA/CA: A Power Back-Off NOMA-Based CSMA/CA Protocol for Ad Hoc Networks

Ningbo Zhang, Guodong Peng, Hao Chen, Chuan Yi Tang
1 citations
IEEE Transactions on Mobile Computing
Mobile Ad Hoc Networks
1.49
article

PBN-CSMA/CA: A Power Back-Off NOMA-Based CSMA/CA Protocol for Ad Hoc Networks

Ningbo Zhang, Guodong Peng, Hao Chen, Chuan Yi Tang
article en
1 citations

Abstract

Carrier-sense multiple access with collision avoidance (CSMA/CA) is one of the fundamental medium access control (MAC) protocols for ad hoc networks. As a network’s size increases, its throughput degrades substantially because of packet collisions. To reduce the collision probability, combining non-orthogonal multiple access (NOMA) with CSMA/CA is a promising solution. However, existing NOMA-CSMA/CA protocols adopt distributed power selection and channel inversion power control, resulting in a high power collision probability and limiting the number of power levels. To address these issues, we propose a power back-off NOMA-based CSMA/CA (PBN-CSMA/CA) protocol for ad hoc networks. The proposed protocol achieves centralized power allocation, avoiding power collisions by employing the Zadoff-Chu (ZC) sequence and the power level allocation (PLA) frame. Additionally, power back-off (PB) control is used to set the transmission power, which expands the number of power levels and gives full play to the performance advantages of NOMA. To analyze the performance comprehensively, the closed-form expressions of the average outage probability, normalized saturation throughput, average packet delay and transmission energy consumption are theoretically analyzed. Both the analytical and simulation results demonstrate that the PBN-CSMA/CA protocol outperforms the existing NOMA-CSMA/CA and traditional CSMA/CA protocols, with significant throughput gains and delay reductions.

IEEE Transactions on Mobile ComputingVol. 24(9)
Beijing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 19%
Mobile Ad Hoc Networks
1.49
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.