Abstract
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 NOMA-based 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.
Highlights
D UE to the explosive increase in demand for wireless connectivity, both the academic and industrial communities have increased their research focus on the design of fifth generation (5G) wireless networks. 5G networks are envisioned to support very high data rates, extremely low latency, a manifold increase in base station capacity and highManuscript received June 20, 2018; revised October 22, 2018; accepted January 1, 2019
The performance of Non-Orthogonal Multiple Access (NOMA)-based transmit antenna selection (TAS) combined with random linear coding (RLC) schemes is discussed and compared with the performance of a conventional OFDMA-based implementation, which will be referred as OMA
Even though transmissions to the two different groups will not interfere with each other in OMA, the same quality of service (QoS) as in NOMA can only be offered if the signal-tonoise ratio (SNR) thresholds are increased
Summary
D UE to the explosive increase in demand for wireless connectivity, both the academic and industrial communities have increased their research focus on the design of fifth generation (5G) wireless networks. 5G networks are envisioned to support very high data rates, extremely low latency, a manifold increase in base station capacity and highManuscript received June 20, 2018; revised October 22, 2018; accepted January 1, 2019. Date of publication January 16, 2019; date of current version February 11, 2019. NOMA exploits the power domain to allocate more power to users experiencing weaker channel conditions in order to guarantee user fairness [5], and allows multiple users to simultaneously share the same resource block (e.g. frequency, time or code). It greatly improves network capacity [6] as compared to schemes based on orthogonal multiple access [7]. NOMA is regarded as one of the key technologies for supporting massive connectivity, dense coverage and low latency in 5G
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