The combination of Non-Orthogonal Multiple Access (NOMA) and Transmit Antenna Selection (TAS) techniques
has recently attracted significant attention due to the low cost,
low complexity and high diversity gains. Meanwhile, Random
Linear Coding (RLC) is considered to be a promising technique
for achieving high reliability and low latency in multicast
communications. In this paper, we consider a downlink system
with a multi-antenna base station and two multicast groups of
single-antenna users, where one group can afford to be served
opportunistically, while the other group consists of comparatively
low power devices with limited processing capabilities that have
strict Quality of Service (QoS) requirements. In order to boost
reliability and satisfy the QoS requirements of the multicast
groups, we propose a cross-layer framework including NOMAbased TAS at the physical layer and RLC at the application
layer. In particular, two low complexity TAS protocols for NOMA
are studied in order to exploit the diversity gain and meet the
QoS requirements. In addition, RLC analysis aims to facilitate
heterogeneous users, such that, sliding window based sparse RLC
is employed for computational restricted users, and conventional
RLC is considered for others. Theoretical expressions that
characterize the performance of the proposed framework are
derived and verified through simulation results.
Funding
This work was supported in part by the Engineering and
Physical Sciences Research Council under Grant EP/R006385/1 and Grant
EP/N007840/1, and in part by the Leverhulme Trust Research Project under
Grant RPG-2017-129.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
IEEE Transactions on Wireless Communications
Pages
1 - 1
Citation
KHAN, A.S. ... et al., 2019. Network-coded NOMA with antenna selection for the support of two heterogeneous groups of users. IEEE Transactions on Wireless Communications, 18(2), pp. 1332 - 1345.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Version
VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/
Acceptance date
2019-01-01
Publication date
2019-01-16
Notes
This is an Open Access Article. It is published by IEEE under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/