TR2020-170
Backhaul Reliability Analysis on Cluster-Based Transmit Diversity Schemes in Private Networks
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- "Backhaul Reliability Analysis on Cluster-Based Transmit Diversity Schemes in Private Networks", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/GLOBECOM42002.2020.9322178, December 2020.BibTeX TR2020-170 PDF
- @inproceedings{Kim2020dec,
- author = {Kim, Kyeong Jin and Liu, Hongwu and Yeoh, Phee Lep and Orlik, Philip V. and Poor, H. Vincent},
- title = {Backhaul Reliability Analysis on Cluster-Based Transmit Diversity Schemes in Private Networks},
- booktitle = {IEEE Global Communications Conference (GLOBECOM)},
- year = 2020,
- month = dec,
- doi = {10.1109/GLOBECOM42002.2020.9322178},
- url = {https://www.merl.com/publications/TR2020-170}
- }
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- "Backhaul Reliability Analysis on Cluster-Based Transmit Diversity Schemes in Private Networks", IEEE Global Communications Conference (GLOBECOM), DOI: 10.1109/GLOBECOM42002.2020.9322178, December 2020.
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Research Areas:
Abstract:
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.
Related News & Events
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NEWS MERL published four papers in 2020 IEEE Global Communications Conference Date: December 7, 2020 - December 11, 2020
Where: Taipei, Taiwan
MERL Contacts: Toshiaki Koike-Akino; Philip V. Orlik; Pu (Perry) Wang; Ye Wang
Research Areas: Communications, Computational Sensing, Machine Learning, Signal ProcessingBrief- MERL researchers have published four papers in 2020 IEEE Global Communications Conference (GlobeComm). This conference is one of the two IEEE Communications Societies flagship conferences dedicated to Communications for Human and Machine Intelligence. Topics of the published papers include, transmit diversity schemes, coding for molecular networks, and location and human activity sensing via WiFi signals.