Title :
A Spectrum Efficient Multi-User Transmission Scheme for 5G Systems With Low Complexity
Author :
Huangping Jin ; Kewu Peng ; Jian Song
Author_Institution :
Tsinghua Nat. Lab. for Inf. Sci. & Technol. (TNList), Beijing, China
Abstract :
To maximize the system throughput for downlink multi-user transmission considering fairness among the users, superposition coding (SC) with all the users scheduled simultaneously is optimal. But it would also lead to high implementation complexity at receivers. In this paper, a simplified downlink multi-user transmission scheme is proposed via combining SC and time division multiplexing (TDM). All the users are divided into multiple user groups and only the users within each user group are scheduled simultaneously via SC. Closed-form expression for the system throughput by the proposed scheme is derived and numerical results are provided to demonstrate the difference in the system throughputs by the proposed scheme and the optimal SC as well as TDM. With the proposed scheme, a good tradeoff between performance and complexity can be achieved. It is shown that the proposed scheme can reduce the implementation complexity considerably at the cost of a little system throughput loss.
Keywords :
5G mobile communication; computational complexity; multi-access systems; network coding; radio receivers; telecommunication scheduling; time division multiplexing; 5G system throughput maximisation; SC; TDM; implementation complexity reduction; receiver; spectrum efficient downlink multiuser transmission scheme; superposition coding; time division multiplexing; user scheduling; Algorithm design and analysis; Complexity theory; Downlink; Fading; Receivers; Throughput; Time division multiplexing; Downlink multiuser transmission; Implementation complexity; Superposition coding; System throughput; Time division multiplexing; downlink multi-user transmission; implementation complexity; superposition coding; system throughput;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2015.2398863