Affiliation of Author(s):Beihang University
Teaching and Research Group:202 203
Journal:IEEE Transactions on Wireless Communications
Place of Publication:US
Funded by:National Key R&D Program of China (No.2020YFB1807102)
Key Words:Mulitple access, lattice codes, multi-user detection, compute-forward, MIMO
Abstract:This paper studies a lattice-code based multiple-access (LCMA) framework, and develops a package of processing techniques that are essential to its practical implementation. In the uplink, K users encode their messages with the same ring coded modulation of 2m-PAM signaling. With it, the integer sum of multiple codewords belongs to the n-dimension lattice of the base code. Such property enables efficient algebraic binning for computing linear combinations of K users’ messages. For the receiver, we devise two new algorithms, based on linear physical-layer network coding and linear filtering, to calculate the symbol-wise a posteriori probabilities (APPs) w.r.t. the K streams of linear codeword combinations. The resultant APP streams are forwarded to the q-ary belief-propagation decoders, which parallelly compute K streams of linear message combinations. Finally, by multiplying the inverse of the coefficient matrix, all users’ messages are recovered. Even with single-stage parallel processing, LCMA is shown to support a remarkably larger number of users and exhibits improved frame error rate (FER) relative to existing NOMA systems such as IDMA and SCMA. Further, we propose a new multi-stage LCMA receiver relying on generalized matrix inversion. With it, a near-capacity performance is demonstrated for a wide range of system loads. Numerical results demonstrate that the number of users that LCMA can support is no less than 350% of the length of the spreading sequence or number of receive antennas. Since LCMA relaxes receiver iteration, off-the-shelf channel codes in standards can be directly utilized, avoiding the compatibility and convergence issue of channel code and detector in IDMA and SCMA.
Indexed by:Journal paper
First-Level Discipline:Information and Communication Engineering
Document Type:J
Translation or Not:no
Date of Publication:2022-09-30
Included Journals:SCI
Attachments:
Associate Professor
Supervisor of Master's Candidates
E-Mail:
Date of Employment:2018-12-14
School/Department:School of Electronics Information Engineering
Administrative Position:Associate Professor
Education Level:博士研究生
Business Address:New Main building F929
Gender:Male
Contact Information:Wechat: 35771385 Email: Tyang@buaa.edu.cn
Degree:Doctoral Degree in Engineering
Status:Employed
Academic Titles:Core Member of Future Communication and Networking Promotion Group
Other Post:未来通信与网络推进组成员
Alma Mater:Beihang University, New South Wales University
Discipline:Information and Communication Engineering
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Honors and Titles:
Australian Research Council Discovery Early Career Researcher Award 2015
联邦科学研究院优秀论文奖 2013
澳大利亚国家研究生奖 2010
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