Iterative Channel Estimation with Data-Aided Interference Cancellation for Non-Orthogonal Multiple Access
In the 5 th generation of mobile cellular systems, non-orthogonal multiple access (NOMA) is being considered as a potential candidate for uplink (UL) multiple access (MA) in addition to the basic orthogonal multiple access scheme in order to support various usage scenarios including small packet tra...
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| Vydáno v: | 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) s. 1 - 5 |
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| Jazyk: | angličtina |
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IEEE
01.08.2018
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| ISSN: | 2577-2465 |
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| Abstract | In the 5 th generation of mobile cellular systems, non-orthogonal multiple access (NOMA) is being considered as a potential candidate for uplink (UL) multiple access (MA) in addition to the basic orthogonal multiple access scheme in order to support various usage scenarios including small packet transmissions, support of a massive number of users, and low latency and high reliability services. Since for NOMA, multiple users transmit uplink data packet in the same time and frequency resource, it is difficult to accurately estimate the channel coefficients from reference signals, especially if the reference signal itself suffers from interference from other users. This paper proposes a novel channel estimation algorithm which utilizes iterative interference cancellation operation in a data-aided manner in reference signal. This iterative channel estimation algorithm with data-aided interference cancellation provides improved channel estimation and overall link level performance at NOMA receiver. |
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| AbstractList | In the 5 th generation of mobile cellular systems, non-orthogonal multiple access (NOMA) is being considered as a potential candidate for uplink (UL) multiple access (MA) in addition to the basic orthogonal multiple access scheme in order to support various usage scenarios including small packet transmissions, support of a massive number of users, and low latency and high reliability services. Since for NOMA, multiple users transmit uplink data packet in the same time and frequency resource, it is difficult to accurately estimate the channel coefficients from reference signals, especially if the reference signal itself suffers from interference from other users. This paper proposes a novel channel estimation algorithm which utilizes iterative interference cancellation operation in a data-aided manner in reference signal. This iterative channel estimation algorithm with data-aided interference cancellation provides improved channel estimation and overall link level performance at NOMA receiver. |
| Author | Xiong, Gang Sosnin, Sergey D. Kwak, Yongjun |
| Author_xml | – sequence: 1 givenname: Sergey D. surname: Sosnin fullname: Sosnin, Sergey D. email: sergey.d.sosnin@intel.com organization: Intel Communication and Devices Group, Intel Corporation, Nizhny Novgorod, Russia – sequence: 2 givenname: Gang surname: Xiong fullname: Xiong, Gang email: gang.xiong@intel.com organization: Intel Communication and Devices Group, Intel Corporation, Hillsboro, USA – sequence: 3 givenname: Yongjun surname: Kwak fullname: Kwak, Yongjun email: yongjun.kwak@intel.com organization: Intel Communication and Devices Group, Intel Corporation, Hillsboro, USA |
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| Snippet | In the 5 th generation of mobile cellular systems, non-orthogonal multiple access (NOMA) is being considered as a potential candidate for uplink (UL) multiple... |
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| SubjectTerms | 5G mobile communication 5th Generation (5G) Channel estimation Data-aided Interference cancellation Interference cancellation (IC) New Radio (NR) NOMA Non-Orthogonal Multiple Access (NOMA) OFDM Receivers |
| Title | Iterative Channel Estimation with Data-Aided Interference Cancellation for Non-Orthogonal Multiple Access |
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