A Novel Joint Spatial-Code Clustered Interference Alignment Scheme for Large-Scale Wireless Sensor Networks
Interference alignment (IA) has been put forward as a promising technique which can mitigate interference and effectively increase the throughput of wireless sensor networks (WSNs). However, the number of users is strictly restricted by the IA feasibility condition, and the interference leakage will...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2015-01-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/15/1/1964 |
| _version_ | 1798039461951438848 |
|---|---|
| author | Zhilu Wu Lihui Jiang Guanghui Ren Nan Zhao Yaqin Zhao |
| author_facet | Zhilu Wu Lihui Jiang Guanghui Ren Nan Zhao Yaqin Zhao |
| author_sort | Zhilu Wu |
| collection | DOAJ |
| description | Interference alignment (IA) has been put forward as a promising technique which can mitigate interference and effectively increase the throughput of wireless sensor networks (WSNs). However, the number of users is strictly restricted by the IA feasibility condition, and the interference leakage will become so strong that the quality of service will degrade significantly when there are more users than that IA can support. In this paper, a novel joint spatial-code clustered (JSCC)-IA scheme is proposed to solve this problem. In the proposed scheme, the users are clustered into several groups so that feasible IA can be achieved within each group. In addition, each group is assigned a pseudo noise (PN) code in order to suppress the inter-group interference via the code dimension. The analytical bit error rate (BER) expressions of the proposed JSCC-IA scheme are formulated for the systems with identical and different propagation delays, respectively. To further improve the performance of the JSCC-IA scheme in asymmetric networks, a random grouping selection (RGS) algorithm is developed to search for better grouping combinations. Numerical results demonstrate that the proposed JSCC-IA scheme is capable of accommodating many more users to communicate simultaneously in the same frequency band with better performance. |
| first_indexed | 2024-04-11T21:54:12Z |
| format | Article |
| id | doaj.art-840afbbf89e542b6a1fed77355db074d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T21:54:12Z |
| publishDate | 2015-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-840afbbf89e542b6a1fed77355db074d2022-12-22T04:01:10ZengMDPI AGSensors1424-82202015-01-011511964199710.3390/s150101964s150101964A Novel Joint Spatial-Code Clustered Interference Alignment Scheme for Large-Scale Wireless Sensor NetworksZhilu Wu0Lihui Jiang1Guanghui Ren2Nan Zhao3Yaqin Zhao4School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaInterference alignment (IA) has been put forward as a promising technique which can mitigate interference and effectively increase the throughput of wireless sensor networks (WSNs). However, the number of users is strictly restricted by the IA feasibility condition, and the interference leakage will become so strong that the quality of service will degrade significantly when there are more users than that IA can support. In this paper, a novel joint spatial-code clustered (JSCC)-IA scheme is proposed to solve this problem. In the proposed scheme, the users are clustered into several groups so that feasible IA can be achieved within each group. In addition, each group is assigned a pseudo noise (PN) code in order to suppress the inter-group interference via the code dimension. The analytical bit error rate (BER) expressions of the proposed JSCC-IA scheme are formulated for the systems with identical and different propagation delays, respectively. To further improve the performance of the JSCC-IA scheme in asymmetric networks, a random grouping selection (RGS) algorithm is developed to search for better grouping combinations. Numerical results demonstrate that the proposed JSCC-IA scheme is capable of accommodating many more users to communicate simultaneously in the same frequency band with better performance.http://www.mdpi.com/1424-8220/15/1/1964wireless sensor networksinterference alignmentclusteringpseudo noise (PN) codespatial-code domainbit error rate (BER)spread spectrum |
| spellingShingle | Zhilu Wu Lihui Jiang Guanghui Ren Nan Zhao Yaqin Zhao A Novel Joint Spatial-Code Clustered Interference Alignment Scheme for Large-Scale Wireless Sensor Networks Sensors wireless sensor networks interference alignment clustering pseudo noise (PN) code spatial-code domain bit error rate (BER) spread spectrum |
| title | A Novel Joint Spatial-Code Clustered Interference Alignment Scheme for Large-Scale Wireless Sensor Networks |
| title_full | A Novel Joint Spatial-Code Clustered Interference Alignment Scheme for Large-Scale Wireless Sensor Networks |
| title_fullStr | A Novel Joint Spatial-Code Clustered Interference Alignment Scheme for Large-Scale Wireless Sensor Networks |
| title_full_unstemmed | A Novel Joint Spatial-Code Clustered Interference Alignment Scheme for Large-Scale Wireless Sensor Networks |
| title_short | A Novel Joint Spatial-Code Clustered Interference Alignment Scheme for Large-Scale Wireless Sensor Networks |
| title_sort | novel joint spatial code clustered interference alignment scheme for large scale wireless sensor networks |
| topic | wireless sensor networks interference alignment clustering pseudo noise (PN) code spatial-code domain bit error rate (BER) spread spectrum |
| url | http://www.mdpi.com/1424-8220/15/1/1964 |
| work_keys_str_mv | AT zhiluwu anoveljointspatialcodeclusteredinterferencealignmentschemeforlargescalewirelesssensornetworks AT lihuijiang anoveljointspatialcodeclusteredinterferencealignmentschemeforlargescalewirelesssensornetworks AT guanghuiren anoveljointspatialcodeclusteredinterferencealignmentschemeforlargescalewirelesssensornetworks AT nanzhao anoveljointspatialcodeclusteredinterferencealignmentschemeforlargescalewirelesssensornetworks AT yaqinzhao anoveljointspatialcodeclusteredinterferencealignmentschemeforlargescalewirelesssensornetworks AT zhiluwu noveljointspatialcodeclusteredinterferencealignmentschemeforlargescalewirelesssensornetworks AT lihuijiang noveljointspatialcodeclusteredinterferencealignmentschemeforlargescalewirelesssensornetworks AT guanghuiren noveljointspatialcodeclusteredinterferencealignmentschemeforlargescalewirelesssensornetworks AT nanzhao noveljointspatialcodeclusteredinterferencealignmentschemeforlargescalewirelesssensornetworks AT yaqinzhao noveljointspatialcodeclusteredinterferencealignmentschemeforlargescalewirelesssensornetworks |