Distributed User Pairing and Transmission Mode Selection in a Single Cell Full Duplex Network

Full duplex (FD) communication can potentially provide double spectral efficiency as compared to the conventional half duplex (HD) scheme, thus it is being considered for the next generation wireless networks. To achieve the potential of FD communication in a multi-user network, user pairing and pow...

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Bibliographic Details
Published inIEEE Vehicular Technology Conference pp. 1 - 5
Main Authors Chang, Yao-Yuan, Su, Hsuan-Jung
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2019
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Online AccessGet full text
ISSN2577-2465
DOI10.1109/VTCFall.2019.8891069

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Summary:Full duplex (FD) communication can potentially provide double spectral efficiency as compared to the conventional half duplex (HD) scheme, thus it is being considered for the next generation wireless networks. To achieve the potential of FD communication in a multi-user network, user pairing and power allocation, which usually require accurate knowledge of the channel state information (CSI), are very important for alleviating the effect of the self-interference (SI) and inter-user interference (IUI). However, the cost (e.g., pilot and signaling overhead) of acquiring accurate CSI is usually high, especially for acquiring the CSI between user equipments (UEs). To trade off between system performance and the cost of acquiring CSI, this work considers that the base station (BS) has only the distance information (equivalent to average CSI) between the BS and the UEs. Based on the distance information, the problem of maximizing the sum rate in a single cell multiuser network subject to maximum power constraints and minimum required signal to interference plus noise power ratio (SINR) is formulated, and a heuristic algorithm to approach the solution is proposed. Simulation results show that the proposed algorithm can effectively exploit the potential gain of FD communication with reasonable system overhead and complexity.
ISSN:2577-2465
DOI:10.1109/VTCFall.2019.8891069