Open Access
Interference mitigation and receiving performance improvement strategies for local cooperation in the 5G system
Author(s) -
Xu Datong,
Yin Wenshan,
Zhang Qinghui,
Zhao Pan
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.0734
Subject(s) - computer science , interference (communication) , channel (broadcasting) , spectral efficiency , scheme (mathematics) , performance improvement , metric (unit) , telecommunications , mathematics , engineering , operations management , mathematical analysis
In the 5G system, different units probably do cooperation to satisfy the communication requirements. However, when network configuration is limited, these units may be difficult to adopt the globally cooperative style. In this case, local cooperation is considered. This study focuses on local cooperation, and mainly aims at interference mitigation between different units and receiving performance improvement for each unit. Generally, a two‐step scheme is proposed. First, channel decomposition is acted on interference mitigation through the design of first‐step transmitters and receivers. Second, channel diagonalisation with symbol processing and selection principle is executed for receiving performance improvement, and the second‐step transmitters and receivers are generated. The authors' contributions are: (i) they present the general scenario of local cooperation, and propose the corresponding strategies of interference mitigation and receiving performance improvement; (ii) they do not apply any iterative algorithm, and can adjust the quantity of information interaction between multiple units; (iii) they can make the symbol processing rule, modulation mode and signal‐to‐noise ratio metric flexible for each data stream. Numerical results illustrate the proposed scheme efficiently reduces the bit error rate, which means the proposed scheme can achieve the satisfactory effect in the locally cooperative network.