報告題目：New Results on Dense Code Multiple Access

報告時間：2023年7月18日下午15:00-16:00

報告地點：X7510

報告人：劉子龍

摘要：DCMA, as a new variant of traditional code-division multiple-access (CDMA), outperforms sparse code multiple access (SCMA) because it can achieve full diversity order under a non-linear sphere decoder. As such, DCMA is a very important competitor of SCMA for the enabling of future massive machine-type communication systems in 5G/6G networks.

In this talk, I will share our recent findings on a novel class of power-imbalanced dense codebooks for the generic Nakagami channels. Our key idea is to apply curve fitting to approximate the celebrated Q function which allows us to derive a new design metric called minimum logarithmic sum distance (MLSD). By properly deleting certain rows of a special non-unimodular circulant matrix, our proposed dense codebooks exhibit both larger minimum Euclidean distance and MLSD, thus yielding significantly improved error performance over the existing SCMA and conventional unimodular DCMA schemes.

報告人簡介：劉子龍，新加坡南洋理工大學博士，英國埃塞克斯大學教授。從2018年1月到2019年11月是薩里大學5G創(chuàng)新中心（5GIC）所在地通信系統(tǒng)研究所（ICS）的高級研究員。目前是 IEEE高級會員，同時擔任國際知名學術期刊 IEEE Transactions on Vehicular Technology, IEEE Transactions on Neural Networks and Learning Systems, IEEE Wireless Communications Letters, IEEE Access的副編輯。目前已發(fā)表95篇期刊論文，其中50余篇發(fā)表在TIT, TSP, TCOM, TWC, TVT, JSAC, JSTSP等期刊上。