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Mathematical Research at the University of Cambridge

 

This talk considers communication over the Gaussian multiple-access channel in the regime where the number of users scales linearly with the codelength. I will begin by discussing near-optimal coding schemes for small user payloads, and explain why these cannot be adapted efficiently to larger payloads. I will then describe a coded CDMA scheme for larger payloads, where each user's information is encoded via a linear code before being transmitted using a signature sequence. With an efficient Approximate Message Passing (AMP) decoder that can be tailored to the structure of the linear code, I show that coded CDMA schemes can achieve state-of-the-art performance for payloads up to hundreds of bits, with exact asymptotic performance guarantees. I will also explain how the proposed schemes can be adapted to incorporate random user activity.

This is joint work with Pablo Pascual Cobo, Kuan Hsieh and Ramji Venkataramanan.

Further information

Time:

22May
May 22nd 2024
14:00 to 15:00

Venue:

MR5, CMS Pavilion A

Speaker:

Xiaoqi (Shirley) Liu, University of Cambridge

Series:

Information Theory Seminar