Though visible-light communication (VLC) channels are contained by opaque boundaries, they present unique challenges in the development of multi-user/multi-cell scenarios. In this paper, two hybrid transmission schemes are proposed for managing multiple users in multi-cell VLC networks. The proposed schemes are based on using non-orthogonal multiple access (NOMA) in the network access points (APs), while applying zero-forcing (ZF) pre-coding to the cell edge users' signals, which are cooperatively broadcast from the APs. The proposed approach allows a reduction of the inter-cell interference affecting the cell-edge users thanks to ZF pre-coding, while dealing with inter-user interference for cell-center users via NOMA signaling. Considering different transmission scenarios, we show the improvement in the network total achievable data rate as well as fairness, as compared to conventional NOMA. For example, for a typical scenario considered, an improvement of up to 39% in total achievable rate and up to 112% in the network fairness is achieved. The proposed approach also presents a clear advantage over the conventional ZF pre-coding, for which the maximum number of users is constrained to the number of APs.
机构:
Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R ChinaXidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
Shao, Weidong
Zhang, Shun
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Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R ChinaXidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
Zhang, Shun
Zhang, Xiushe
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机构:
Res Inst Nav Technol, Commun Engn Dept, Xian 710068, Shaanxi, Peoples R ChinaXidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
Zhang, Xiushe
Ma, Jianpeng
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Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R ChinaXidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
Ma, Jianpeng
Zhao, Nan
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Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R ChinaXidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
机构:
City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China
Sung, Chi Wan
Chen, Yi
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Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Peoples R China
Shenzhen Res Inst Big Data, Shenzhen 518172, Peoples R ChinaCity Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China
Chen, Yi
Gu, Yuxuan
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City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China