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- Publisher Website: 10.1109/GLOBECOM38437.2019.9014010
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Conference Paper: Learning-based Rate Adaptation for Uplink Massive MIMO with A Cooperative Data-Assisted Detector
Title | Learning-based Rate Adaptation for Uplink Massive MIMO with A Cooperative Data-Assisted Detector |
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Authors | |
Keywords | Uplink Channel estimation Interference MIMO communication Detectors |
Issue Date | 2019 |
Publisher | Institute of Electrical and Electronics Engineers. |
Citation | Proceedings of 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, Hawaii, USA, 9-13 December 2019, p. 1-6 How to Cite? |
Abstract | In this paper, the uplink adaptation for massive multiple-input-multiple-output (MIMO) networks without the knowledge of user density is considered. Specifically, a novel cooperative uplink transmission and detection scheme is first proposed for massive MIMO networks, where each uplink frame is divided into a number of data blocks with independent coding schemes and the following blocks are decoded based on previously detected data blocks in both service and neighboring cells. The asymptotic signal-to- interference-plus-noise ratio (SINR) of the proposed scheme is then derived, and the distribution of interference power considering the randomness of the users' locations is proved to be Gaussian. By tracking the mean and variance of interference power, an online robust rate adaptation algorithm ensuring a target packet outage probability is proposed for the scenario where the interfering channel and the user density are unknown. |
Persistent Identifier | http://hdl.handle.net/10722/291026 |
ISBN | |
ISSN |
DC Field | Value | Language |
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dc.contributor.author | Zhang, Z | - |
dc.contributor.author | Li, Y | - |
dc.contributor.author | Wang, R | - |
dc.contributor.author | Chen, Y | - |
dc.contributor.author | Huang, K | - |
dc.date.accessioned | 2020-11-02T05:50:31Z | - |
dc.date.available | 2020-11-02T05:50:31Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Proceedings of 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, Hawaii, USA, 9-13 December 2019, p. 1-6 | - |
dc.identifier.isbn | 9781728109626 | - |
dc.identifier.issn | 2334-0983 | - |
dc.identifier.uri | http://hdl.handle.net/10722/291026 | - |
dc.description.abstract | In this paper, the uplink adaptation for massive multiple-input-multiple-output (MIMO) networks without the knowledge of user density is considered. Specifically, a novel cooperative uplink transmission and detection scheme is first proposed for massive MIMO networks, where each uplink frame is divided into a number of data blocks with independent coding schemes and the following blocks are decoded based on previously detected data blocks in both service and neighboring cells. The asymptotic signal-to- interference-plus-noise ratio (SINR) of the proposed scheme is then derived, and the distribution of interference power considering the randomness of the users' locations is proved to be Gaussian. By tracking the mean and variance of interference power, an online robust rate adaptation algorithm ensuring a target packet outage probability is proposed for the scenario where the interfering channel and the user density are unknown. | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. | - |
dc.relation.ispartof | IEEE Global Communications Conference (GLOBECOM) Proceedings | - |
dc.rights | IEEE Global Communications Conference (GLOBECOM) Proceedings. Copyright © Institute of Electrical and Electronics Engineers. | - |
dc.rights | ©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Uplink | - |
dc.subject | Channel estimation | - |
dc.subject | Interference | - |
dc.subject | MIMO communication | - |
dc.subject | Detectors | - |
dc.title | Learning-based Rate Adaptation for Uplink Massive MIMO with A Cooperative Data-Assisted Detector | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Huang, K: huangkb@eee.hku.hk | - |
dc.identifier.authority | Huang, K=rp01875 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/GLOBECOM38437.2019.9014010 | - |
dc.identifier.scopus | eid_2-s2.0-85081966040 | - |
dc.identifier.hkuros | 318011 | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 6 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 2334-0983 | - |