TY - GEN
T1 - Scalable Simultaneous Connectivity with Multiple APs and Virtual UEs in CF-Networks
AU - Siddiqa, Ayesha
AU - Seo, Junho
AU - Saad, Malik Muhammad
AU - Jeong, Bomi
AU - Kim, Dongkyun
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/3/27
Y1 - 2023/3/27
N2 - Cellular massive multiple-input multiple-output (mMIMO) enables several access points (APs) to cooperatively serve multiple user equipment (UEs) using dynamic cooperative clustering (DCC) in a single cell. As the UE moves away from the cell center, it creates intercell signal interference (ISI) on cell edges which degrades the network performance. To overcome this issue, the cell-free (CF) networks remove the cell boundaries and randomly distribute the APs equipped with a variable number of antennas. CF aims to enable several APs to jointly serve the UEs in the network to improve the data rate. The scalable CF networks have been proposed for practical implementation, but it enables a single master AP (MAP) to communicate with UEs. It creates signal overhead on fronthaul in large networks and degrades spectral Efficiency (SE). To overcome this issue, we proposed a scalable scheme to enable simultaneous connectivity between multiple APs and UEs using virtualization. Each UE create virtual network interface card (vNIC) ids and integrate them with UE physical id to separately identify each signal in the network. The novel UE ids can independently identify each id as a separate UE in the network. A novel channel gain-based AP selection methodology on UE has been proposed. Moreover, space division multiple access (SDMA) has been utilized for simultaneous uplink/downlink connections. The goal of the work is to enable UEs to maintain multiple AP connections without increasing their physical capacity. The proposed scheme simulation results are compared with other proposed schemes and it shows promising improvement in the network.
AB - Cellular massive multiple-input multiple-output (mMIMO) enables several access points (APs) to cooperatively serve multiple user equipment (UEs) using dynamic cooperative clustering (DCC) in a single cell. As the UE moves away from the cell center, it creates intercell signal interference (ISI) on cell edges which degrades the network performance. To overcome this issue, the cell-free (CF) networks remove the cell boundaries and randomly distribute the APs equipped with a variable number of antennas. CF aims to enable several APs to jointly serve the UEs in the network to improve the data rate. The scalable CF networks have been proposed for practical implementation, but it enables a single master AP (MAP) to communicate with UEs. It creates signal overhead on fronthaul in large networks and degrades spectral Efficiency (SE). To overcome this issue, we proposed a scalable scheme to enable simultaneous connectivity between multiple APs and UEs using virtualization. Each UE create virtual network interface card (vNIC) ids and integrate them with UE physical id to separately identify each signal in the network. The novel UE ids can independently identify each id as a separate UE in the network. A novel channel gain-based AP selection methodology on UE has been proposed. Moreover, space division multiple access (SDMA) has been utilized for simultaneous uplink/downlink connections. The goal of the work is to enable UEs to maintain multiple AP connections without increasing their physical capacity. The proposed scheme simulation results are compared with other proposed schemes and it shows promising improvement in the network.
KW - cell-free networks
KW - dynamic cooperative communication (DCC)
KW - inter signal interference (ISI)
KW - massive multiple-input multiple-output (mMIMO)
KW - virtual network interface card (vNIC)
UR - http://www.scopus.com/inward/record.url?scp=85162928414&partnerID=8YFLogxK
U2 - 10.1145/3555776.3577649
DO - 10.1145/3555776.3577649
M3 - Conference contribution
AN - SCOPUS:85162928414
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 1766
EP - 1771
BT - Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, SAC 2023
PB - Association for Computing Machinery
T2 - 38th Annual ACM Symposium on Applied Computing, SAC 2023
Y2 - 27 March 2023 through 31 March 2023
ER -