231 research outputs found
Fairness Comparison of Uplink NOMA and OMA
In this paper, we compare the resource allocation fairness of uplink
communications between non-orthogonal multiple access (NOMA) schemes and
orthogonal multiple access (OMA) schemes. Through characterizing the
contribution of the individual user data rate to the system sum rate, we
analyze the fundamental reasons that NOMA offers a more fair resource
allocation than that of OMA in asymmetric channels. Furthermore, a fairness
indicator metric based on Jain's index is proposed to measure the asymmetry of
multiuser channels. More importantly, the proposed metric provides a selection
criterion for choosing between NOMA and OMA for fair resource allocation. Based
on this discussion, we propose a hybrid NOMA-OMA scheme to further enhance the
users fairness. Simulation results confirm the accuracy of the proposed metric
and demonstrate the fairness enhancement of the proposed hybrid NOMA-OMA scheme
compared to the conventional OMA and NOMA schemes.Comment: 6 pages, accepted for publication, VTC 2017, Spring, Sydne
A Tutorial on Nonorthogonal Multiple Access for 5G and Beyond
Today's wireless networks allocate radio resources to users based on the
orthogonal multiple access (OMA) principle. However, as the number of users
increases, OMA based approaches may not meet the stringent emerging
requirements including very high spectral efficiency, very low latency, and
massive device connectivity. Nonorthogonal multiple access (NOMA) principle
emerges as a solution to improve the spectral efficiency while allowing some
degree of multiple access interference at receivers. In this tutorial style
paper, we target providing a unified model for NOMA, including uplink and
downlink transmissions, along with the extensions tomultiple inputmultiple
output and cooperative communication scenarios. Through numerical examples, we
compare the performances of OMA and NOMA networks. Implementation aspects and
open issues are also detailed.Comment: 25 pages, 10 figure
Outage Performance of Uplink Rate Splitting Multiple Access with Randomly Deployed Users
With the rapid proliferation of smart devices in wireless networks, more
powerful technologies are expected to fulfill the network requirements of high
throughput, massive connectivity, and diversify quality of service. To this
end, rate splitting multiple access (RSMA) is proposed as a promising solution
to improve spectral efficiency and provide better fairness for the
next-generation mobile networks. In this paper, the outage performance of
uplink RSMA transmission with randomly deployed users is investigated, taking
both user scheduling schemes and power allocation strategies into
consideration. Specifically, the greedy user scheduling (GUS) and cumulative
distribution function (CDF) based user scheduling (CUS) schemes are considered,
which could maximize the rate performance and guarantee scheduling fairness,
respectively. Meanwhile, we re-investigate cognitive power allocation (CPA)
strategy, and propose a new rate fairness-oriented power allocation (FPA)
strategy to enhance the scheduled users' rate fairness. By employing order
statistics and stochastic geometry, an analytical expression of the outage
probability for each scheduling scheme combining power allocation is derived to
characterize the performance. To get more insights, the achieved diversity
order of each scheme is also derived. Theoretical results demonstrate that both
GUS and CUS schemes applying CPA or FPA strategy can achieve full diversity
orders, and the application of CPA strategy in RSMA can effectively eliminate
the secondary user's diversity order constraint from the primary user.
Simulation results corroborate the accuracy of the analytical expressions, and
show that the proposed FPA strategy can achieve excellent rate fairness
performance in high signal-to-noise ratio region.Comment: 38 pages,8 figure
Advanced NOMA Assisted Semi-Grant-Free Transmission Schemes for Randomly Distributed Users
Non-orthogonal multiple access (NOMA) assisted semi-grant-free (SGF)
transmission has recently received significant research attention due to its
outstanding ability of serving grant-free (GF) users with grant-based (GB)
users' spectrum, {\color{blue}which can greatly improve the spectrum efficiency
and effectively relieve the massive access problem of 5G and beyond networks.
In this paper, we investigate the performance of SGF schemes under more
practical settings.} Firstly, we study the outage performance of the best user
scheduling SGF scheme (BU-SGF) by considering the impacts of Rayleigh fading,
path loss, and random user locations. Then, a fair SGF scheme is proposed by
applying cumulative distribution function (CDF)-based scheduling (CS-SGF),
which can also make full use of multi-user diversity. Moreover, by employing
the theories of order statistics and stochastic geometry, we analyze the outage
performances of both BU-SGF and CS-SGF schemes. Results show that full
diversity orders can be achieved only when the served users' data rate is
capped, which severely limit the rate performance of SGF schemes. To further
address this issue, we propose a distributed power control strategy to relax
such data rate constraint, and derive closed-form expressions of the two
schemes' outage performances under this strategy. Finally, simulation results
validate the fairness performance of the proposed CS-SGF scheme, the
effectiveness of the power control strategy, and the accuracy of the
theoretical analyses.Comment: 41 pages, 8 figure
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