Joint uplink and downlink resource allocation for D2D communication based on weighted bipartite graph matching and interference clustering

Device-to-device (D2D) communication is a short-range communication technology that can effectively improve the spectral efficiency of cellular networks. A two-stage subchannel and power joint allocation scheme was proposed to address the complex scenario of "many-to-many" communication in...

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Main Authors: SHEN Bin, YUAN Wenjun, LI Xuan
Format: Article
Language:zho
Published: China InfoCom Media Group 2024-06-01
Series:物联网学报
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Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00383/
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author SHEN Bin
YUAN Wenjun
LI Xuan
author_facet SHEN Bin
YUAN Wenjun
LI Xuan
author_sort SHEN Bin
collection DOAJ
description Device-to-device (D2D) communication is a short-range communication technology that can effectively improve the spectral efficiency of cellular networks. A two-stage subchannel and power joint allocation scheme was proposed to address the complex scenario of "many-to-many" communication in cellular networks (one subchannel could be assigned to multiple pairs of D2D user equipment (DUE), and one pair of DUE could also use multiple subchannels at the same time), considering the full frequency domain resource reuse in both uplink and downlink subchannels. In the first stage, a weighted bipartite graph matching-based resource allocation (WBGM-RA) algorithm was introduced. This algorithm allocated all subchannels to all cellular user equipment (CUE) to maximize CUE sum rate. In the second stage, an interference clustering-based resource allocation (IC-RA) algorithm was proposed, and the interference matrix was constructed according to the interference relations among UE sharing the same subchannel. Resources allocated to CUE were reallocated to DUE. Moreover, the transmit power of DUE was optimized to maximize the system sum rate while ensured that DUE did not cause serious interference to CUE. This study established a novel joint resource allocation for uplink and downlink subchannels, coupled with a mechanism for "many-to-many" channel reuse. This led to a substantial increase in spectrum access opportunities for DUE and overall spectrum efficiency in the network. Simulation results show that compared with the existing typical algorithm, this algorithm can effectively improve the system sum rate, increase the number of communication links in the system and increase the DUE access rate.
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spelling doaj-art-eab89b7bca004cb0961b5b28062403832025-01-15T02:54:10ZzhoChina InfoCom Media Group物联网学报2096-37502024-06-01811567576804Joint uplink and downlink resource allocation for D2D communication based on weighted bipartite graph matching and interference clusteringSHEN BinYUAN WenjunLI XuanDevice-to-device (D2D) communication is a short-range communication technology that can effectively improve the spectral efficiency of cellular networks. A two-stage subchannel and power joint allocation scheme was proposed to address the complex scenario of "many-to-many" communication in cellular networks (one subchannel could be assigned to multiple pairs of D2D user equipment (DUE), and one pair of DUE could also use multiple subchannels at the same time), considering the full frequency domain resource reuse in both uplink and downlink subchannels. In the first stage, a weighted bipartite graph matching-based resource allocation (WBGM-RA) algorithm was introduced. This algorithm allocated all subchannels to all cellular user equipment (CUE) to maximize CUE sum rate. In the second stage, an interference clustering-based resource allocation (IC-RA) algorithm was proposed, and the interference matrix was constructed according to the interference relations among UE sharing the same subchannel. Resources allocated to CUE were reallocated to DUE. Moreover, the transmit power of DUE was optimized to maximize the system sum rate while ensured that DUE did not cause serious interference to CUE. This study established a novel joint resource allocation for uplink and downlink subchannels, coupled with a mechanism for "many-to-many" channel reuse. This led to a substantial increase in spectrum access opportunities for DUE and overall spectrum efficiency in the network. Simulation results show that compared with the existing typical algorithm, this algorithm can effectively improve the system sum rate, increase the number of communication links in the system and increase the DUE access rate.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00383/cellular networkdevice-to-device communicationuplink-downlink resource sharingchannel allocationpower allocation
spellingShingle SHEN Bin
YUAN Wenjun
LI Xuan
Joint uplink and downlink resource allocation for D2D communication based on weighted bipartite graph matching and interference clustering
物联网学报
cellular network
device-to-device communication
uplink-downlink resource sharing
channel allocation
power allocation
title Joint uplink and downlink resource allocation for D2D communication based on weighted bipartite graph matching and interference clustering
title_full Joint uplink and downlink resource allocation for D2D communication based on weighted bipartite graph matching and interference clustering
title_fullStr Joint uplink and downlink resource allocation for D2D communication based on weighted bipartite graph matching and interference clustering
title_full_unstemmed Joint uplink and downlink resource allocation for D2D communication based on weighted bipartite graph matching and interference clustering
title_short Joint uplink and downlink resource allocation for D2D communication based on weighted bipartite graph matching and interference clustering
title_sort joint uplink and downlink resource allocation for d2d communication based on weighted bipartite graph matching and interference clustering
topic cellular network
device-to-device communication
uplink-downlink resource sharing
channel allocation
power allocation
url http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00383/
work_keys_str_mv AT shenbin jointuplinkanddownlinkresourceallocationford2dcommunicationbasedonweightedbipartitegraphmatchingandinterferenceclustering
AT yuanwenjun jointuplinkanddownlinkresourceallocationford2dcommunicationbasedonweightedbipartitegraphmatchingandinterferenceclustering
AT lixuan jointuplinkanddownlinkresourceallocationford2dcommunicationbasedonweightedbipartitegraphmatchingandinterferenceclustering