57 research outputs found
Energy-Efficient Non-Orthogonal Transmission under Reliability and Finite Blocklength Constraints
This paper investigates an energy-efficient non-orthogonal transmission
design problem for two downlink receivers that have strict reliability and
finite blocklength (latency) constraints. The Shannon capacity formula widely
used in traditional designs needs the assumption of infinite blocklength and
thus is no longer appropriate. We adopt the newly finite blocklength coding
capacity formula for explicitly specifying the trade-off between reliability
and code blocklength. However, conventional successive interference
cancellation (SIC) may become infeasible due to heterogeneous blocklengths. We
thus consider several scenarios with different channel conditions and
with/without SIC. By carefully examining the problem structure, we present in
closed-form the optimal power and code blocklength for energy-efficient
transmissions. Simulation results provide interesting insights into conditions
for which non-orthogonal transmission is more energy efficient than the
orthogonal transmission such as TDMA.Comment: accepted by IEEE GlobeCom workshop on URLLC, 201
Min-max Decoding Error Probability Optimization in RIS-Aided Hybrid TDMA-NOMA Networks
One of the primary objectives for future wireless communication networks is
to facilitate the provision of ultra-reliable and low-latency communication
services while simultaneously ensuring the capability for vast connection. In
order to achieve this objective, we examine a hybrid multi-access scheme inside
the finite blocklength (FBL) regime. This system combines the benefits of
non-orthogonal multiple access (NOMA) and time-division multiple access (TDMA)
schemes with the aim of fulfilling the objectives of future wireless
communication networks. In addition, a reconfigurable intelligent surface (RIS)
is utilized to facilitate the establishment of the uplink transmission between
the base station and mobile devices in situations when impediments impede their
direct communication linkages. This paper aims to minimize the worst-case
decoding-error probability for all mobile users by jointly optimizing power
allocation, receiving beamforming, blocklength, RIS reflection, and user
pairing. To deal with the coupled variables in the formulated mixed-integer
non-convex optimization problem, we decompose it into three sub-problems,
namely, 1) decoding order determination problem, 2) joint power allocation,
receiving beamforming, RIS reflection, and blocklength optimization problem,
and 3) optimal user pairing problem. Then, we provide the sequential convex
approximation (SCA) and semidefinite relaxation (SDR)-based algorithms as
potential solutions for iteratively addressing the deconstructed first two
sub-problems at a fixed random user pairing. In addition, the Hungarian
matching approach is employed to address the challenge of optimizing user
pairing. In conclusion, we undertake a comprehensive simulation, which reveals
the advantageous qualities of the proposed algorithm and its superior
performance compared to existing benchmark methods.Comment: 11 pages, 7 figure
Short-Packet Communications for MIMO NOMA Systems over Nakagami-m Fading: BLER and Minimum Blocklength Analysis
Recently, ultra-reliable and low-latency communications (URLLC) using
short-packets has been proposed to fulfill the stringent requirements regarding
reliability and latency of emerging applications in 5G and beyond networks. In
addition, multiple-input multiple-output non-orthogonal multiple access (MIMO
NOMA) is a potential candidate to improve the spectral efficiency, reliability,
latency, and connectivity of wireless systems. In this paper, we investigate
short-packet communications (SPC) in a multiuser downlink MIMO NOMA system over
Nakagami-m fading, and propose two antenna-user selection methods considering
two clusters of users having different priority levels. In contrast to the
widely-used long data-packet assumption, the SPC analysis requires the redesign
of the communication protocols and novel performance metrics. Given this
context, we analyze the SPC performance of MIMO NOMA systems using the average
block error rate (BLER) and minimum blocklength, instead of the conventional
metrics such as ergodic capacity and outage capacity. More specifically, to
characterize the system performance regarding SPC, asymptotic (in the high
signal-to-noise ratio regime) and approximate closed-form expressions of the
average BLER at the users are derived. Based on the asymptotic behavior of the
average BLER, an analysis of the diversity order, minimum blocklength, and
optimal power allocation is carried out. The achieved results show that MIMO
NOMA can serve multiple users simultaneously using a smaller blocklength
compared with MIMO OMA, thus demonstrating the benefits of MIMO NOMA for SPC in
minimizing the transmission latency. Furthermore, our results indicate that the
proposed methods not only improve the BLER performance but also guarantee full
diversity gains for the respective users.Comment: 12 pages, 8 figures. This paper has been submitted to an IEEE journal
for possible publicatio
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