Limits...
Coded Cooperation for Multiway Relaying in Wireless Sensor Networks.

Si Z, Ma J, Thobaben R - Sensors (Basel) (2015)

Bottom Line: In particular, for the message broadcasting from the relay, we construct multi-edge-type (MET) SC-LDPC codes by repeatedly applying coset encoding.Due to the capacity-achieving property of the SC-LDPC codes, we prove that the capacity region can theoretically be achieved by the proposed MET SC-LDPC codes.Numerical results with finite node degrees are provided, which show that the achievable rates approach the boundary of the capacity region in both binary erasure channels and additive white Gaussian channels.

View Article: PubMed Central - PubMed

Affiliation: Key Lab of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications (BUPT), 100876 Beijing, China. sizhongwei@bupt.edu.cn.

ABSTRACT
Wireless sensor networks have been considered as an enabling technology for constructing smart cities. One important feature of wireless sensor networks is that the sensor nodes collaborate in some manner for communications. In this manuscript, we focus on the model of multiway relaying with full data exchange where each user wants to transmit and receive data to and from all other users in the network. We derive the capacity region for this specific model and propose a coding strategy through coset encoding. To obtain good performance with practical codes, we choose spatially-coupled LDPC (SC-LDPC) codes for the coded cooperation. In particular, for the message broadcasting from the relay, we construct multi-edge-type (MET) SC-LDPC codes by repeatedly applying coset encoding. Due to the capacity-achieving property of the SC-LDPC codes, we prove that the capacity region can theoretically be achieved by the proposed MET SC-LDPC codes. Numerical results with finite node degrees are provided, which show that the achievable rates approach the boundary of the capacity region in both binary erasure channels and additive white Gaussian channels.

No MeSH data available.


Bit erasure rates of the multi-edge-type (MET) spatially-coupled (SC)-LDPC codes over BECs. The solid curves show the simulation results, and the dotted vertical lines indicate the BP thresholds from density evolution.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4541830&req=5

f4-sensors-15-15265: Bit erasure rates of the multi-edge-type (MET) spatially-coupled (SC)-LDPC codes over BECs. The solid curves show the simulation results, and the dotted vertical lines indicate the BP thresholds from density evolution.

Mentions: In the following, we provide the simulation results for the SC-LDPC codes with finite code lengths over BECs. The bit erasure rates are plotted in Figure 4 together with the BP thresholds of the corresponding ensembles. The node degrees (dV0, dV1, dc) are listed in the legend, and we set M = 1000 and L = 100. It can be seen that the MET SC-LDPC codes generally provide good performance over BECs. Similar observations can be obtained in BI-AWGN channels, and the results are omitted here. We also want to point out that the complexity and latency due to the encoding and decoding of SC-LDPC codes are not an issue for their applications in practice, since SC-LDPC codes allow recursive encoding and sliding-window decoding.


Coded Cooperation for Multiway Relaying in Wireless Sensor Networks.

Si Z, Ma J, Thobaben R - Sensors (Basel) (2015)

Bit erasure rates of the multi-edge-type (MET) spatially-coupled (SC)-LDPC codes over BECs. The solid curves show the simulation results, and the dotted vertical lines indicate the BP thresholds from density evolution.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541830&req=5

f4-sensors-15-15265: Bit erasure rates of the multi-edge-type (MET) spatially-coupled (SC)-LDPC codes over BECs. The solid curves show the simulation results, and the dotted vertical lines indicate the BP thresholds from density evolution.
Mentions: In the following, we provide the simulation results for the SC-LDPC codes with finite code lengths over BECs. The bit erasure rates are plotted in Figure 4 together with the BP thresholds of the corresponding ensembles. The node degrees (dV0, dV1, dc) are listed in the legend, and we set M = 1000 and L = 100. It can be seen that the MET SC-LDPC codes generally provide good performance over BECs. Similar observations can be obtained in BI-AWGN channels, and the results are omitted here. We also want to point out that the complexity and latency due to the encoding and decoding of SC-LDPC codes are not an issue for their applications in practice, since SC-LDPC codes allow recursive encoding and sliding-window decoding.

Bottom Line: In particular, for the message broadcasting from the relay, we construct multi-edge-type (MET) SC-LDPC codes by repeatedly applying coset encoding.Due to the capacity-achieving property of the SC-LDPC codes, we prove that the capacity region can theoretically be achieved by the proposed MET SC-LDPC codes.Numerical results with finite node degrees are provided, which show that the achievable rates approach the boundary of the capacity region in both binary erasure channels and additive white Gaussian channels.

View Article: PubMed Central - PubMed

Affiliation: Key Lab of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications (BUPT), 100876 Beijing, China. sizhongwei@bupt.edu.cn.

ABSTRACT
Wireless sensor networks have been considered as an enabling technology for constructing smart cities. One important feature of wireless sensor networks is that the sensor nodes collaborate in some manner for communications. In this manuscript, we focus on the model of multiway relaying with full data exchange where each user wants to transmit and receive data to and from all other users in the network. We derive the capacity region for this specific model and propose a coding strategy through coset encoding. To obtain good performance with practical codes, we choose spatially-coupled LDPC (SC-LDPC) codes for the coded cooperation. In particular, for the message broadcasting from the relay, we construct multi-edge-type (MET) SC-LDPC codes by repeatedly applying coset encoding. Due to the capacity-achieving property of the SC-LDPC codes, we prove that the capacity region can theoretically be achieved by the proposed MET SC-LDPC codes. Numerical results with finite node degrees are provided, which show that the achievable rates approach the boundary of the capacity region in both binary erasure channels and additive white Gaussian channels.

No MeSH data available.