OFDM-IM Based Dual-Hop System Using Fixed-Gain Amplify-and-Forward Relay with Pre-Processing Capability
Online Publication Date2019-03-06
Print Publication Date2019-04
Permanent link to this recordhttp://hdl.handle.net/10754/631382
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AbstractOrthogonal frequency-division multiplexing with index modulation (OFDM-IM) has recently attracted much researchers’ attention due to its superior spectrum efficiency and reliability compared to the traditional OFDM. Cooperative decode-and-forward (DF) relaying has been incorporated with OFDM-IM, which provides a higher energy efficiency and better network coverage. However, it might not be feasible in realistic applications owing to the high system complexity and transmission delay rendered by complex decoding and channel estimation procedures. Therefore, in this paper, we propose a fixed-gain (FG) amplify-and-forward (AF) relay assisted OFDMIM system, which does not need to perform complex decoding and channel estimation at the relay, but only requires a preprocessing capability at the relay, e.g., cyclic prefix (CP) removal and re-insertion. Therefore, the system complexity can be reduced and the forwarding delay as well as power consumption caused by processing at the relay also decline. We analyze the average outage probability, block error rate (BLER), and achievable rate of the proposed system and verify all analysis by numerical results. The proposed FG AF relay assisted OFDM-IM provides a simple solution to the implementation of OFDM-IM in new network paradigms, where nodes are simple, power-limited and/or complexity-limited.
CitationDang S, Li J, Wen M, Mumtaz S, Zhang Z (2019) OFDM-IM Based Dual-Hop System Using Fixed-Gain Amplify-and-Forward Relay with Pre-Processing Capability. IEEE Transactions on Wireless Communications: 1–1. Available: http://dx.doi.org/10.1109/TWC.2019.2902139.
SponsorsThis work was supported in part by the National Natural Science Foundation of China under Grant 61871190 and Grant 61701127, in part by the Natural Science Foundation of Guangdong Province under Grant 2018B030306005, in part by the Pearl River Nova Program of Guangzhou under Grant 201806010171, and in part by the Young Elite Scientists Sponsorship Program by CAST under Grant 2018QNRC001.