TY - GEN
T1 - Backhaul Reliability Analysis on Cluster-Based Transmit Diversity Schemes in Private Networks
AU - Kim, Kyeong Jin
AU - Liu, Hongwu
AU - Yeoh, Phee Lep
AU - Orlik, Philip V.
AU - Poor, H. Vincent
N1 - Funding Information:
K. J. Kim and P. V. Orlik are with Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA 02139 USA H. Liu is with Shandong Jiaotong University, Jinan, China P. L. Yeoh is with The University of Sydney, NSW 2006 Australia. H. V. Poor is with the Department of Electrical Engineering, Princeton University, Princeton, NJ 08544 USA This work was supported in part by the U.S. National Science Foundation under Grant CCF-0939370
Publisher Copyright:
© 2020 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - For a multi-cluster-based transmit diversity scheme that supports joint transmissions (JT) in private networks, a distributed remote radio unit system (dRRUS) is deployed in each of the clusters to increase the spectral efficiency and coverage, and to achieve flexible spatial degrees of freedom. Due to its distributed structure, the dRRUS relies on backhaul communications between the private network server (PNS) and cluster master (CM), which is the main backhaul communication, and between the CM to remote radio units (RRUs), which is the secondary backhaul communication. Thus, this paper mainly investigates the reliability of main and secondary backhaul connections for cluster-based transmit diversity schemes in private networks. Employing a Bernoulli process to model each backhaul reliability, a composite backhaul connection is modeled by an independent product of Bernoulli processes. By employing the distributed cyclic delay diversity scheme over the dRRUS and precision time protocol for clock synchronization, the multicluster-based JT can be achieved without full channel state information of the private network environment at the PNS and CMs. Having developed necessary distributions for the signal-tonoise ratio realized at the receiver, the closed-form expressions for the outage probability and spectral efficiency are derived. To verify their accuracy, the analytical performances are compared with link-level simulations.
AB - For a multi-cluster-based transmit diversity scheme that supports joint transmissions (JT) in private networks, a distributed remote radio unit system (dRRUS) is deployed in each of the clusters to increase the spectral efficiency and coverage, and to achieve flexible spatial degrees of freedom. Due to its distributed structure, the dRRUS relies on backhaul communications between the private network server (PNS) and cluster master (CM), which is the main backhaul communication, and between the CM to remote radio units (RRUs), which is the secondary backhaul communication. Thus, this paper mainly investigates the reliability of main and secondary backhaul connections for cluster-based transmit diversity schemes in private networks. Employing a Bernoulli process to model each backhaul reliability, a composite backhaul connection is modeled by an independent product of Bernoulli processes. By employing the distributed cyclic delay diversity scheme over the dRRUS and precision time protocol for clock synchronization, the multicluster-based JT can be achieved without full channel state information of the private network environment at the PNS and CMs. Having developed necessary distributions for the signal-tonoise ratio realized at the receiver, the closed-form expressions for the outage probability and spectral efficiency are derived. To verify their accuracy, the analytical performances are compared with link-level simulations.
KW - Private 5G networks
KW - backhaul reliability
KW - carrier aggregation
KW - distributed cyclic delay diversity
KW - diversity gain.
KW - joint transmission
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U2 - 10.1109/GLOBECOM42002.2020.9322178
DO - 10.1109/GLOBECOM42002.2020.9322178
M3 - Conference contribution
AN - SCOPUS:85100379852
T3 - 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
BT - 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Global Communications Conference, GLOBECOM 2020
Y2 - 7 December 2020 through 11 December 2020
ER -