88 research outputs found
1-Bit Massive MIMO Downlink Based on Constructive Interference
In this paper, we focus on the multiuser massive multiple-input single-output
(MISO) downlink with low-cost 1-bit digital-to-analog converters (DACs) for PSK
modulation, and propose a low-complexity refinement process that is applicable
to any existing 1-bit precoding approaches based on the constructive
interference (CI) formulation. With the decomposition of the signals along the
detection thresholds, we first formulate a simple symbol-scaling method as the
performance metric. The low-complexity refinement approach is subsequently
introduced, where we aim to improve the introduced symbol-scaling performance
metric by modifying the transmit signal on one antenna at a time. Numerical
results validate the effectiveness of the proposed refinement method on
existing approaches for massive MIMO with 1-bit DACs, and the performance
improvements are most significant for the low-complexity quantized zero-forcing
(ZF) method.Comment: 5 pages, EUSIPCO 201
Interference Exploitation 1-Bit Massive MIMO Precoding: A Partial Branch-and-Bound Solution With Near-Optimal Performance
In this paper, we focus on 1-bit precoding approaches for downlink massive multiple-input multiple-output (MIMO) systems, where we exploit the concept of constructive interference (CI). For both PSK and QAM signaling, we firstly formulate the optimization problem that maximizes the CI effect subject to the requirement of the 1-bit transmit signals. We then mathematically prove that, when employing the CI formulation and relaxing the 1-bit constraint, the majority of the transmit signals already satisfy the 1-bit formulation. Building upon this important observation, we propose a 1-bit precoding approach that further improves the performance of the conventional 1-bit CI precoding via a partial branch-and-bound (P-BB) process, where the BB procedure is performed only for the entries that do not comply with the 1-bit requirement. This operation allows a significant complexity reduction compared to the fully-BB (F-BB) process, and enables the BB framework to be applicable to the complex massive MIMO scenarios. We further develop an alternative 1-bit scheme through an ‘Ordered Partial Sequential Update’ (OPSU) process that allows an additional complexity reduction. Numerical results show that both proposed 1-bit precoding methods exhibit a significant signal-to-noise ratio (SNR) gain for the error rate performance, especially for higher-order modulations
1-Bit Massive MIMO Transmission: Embracing Interference with Symbol-Level Precoding
The deployment of large-scale antenna arrays for cellular base stations
(BSs), termed as `Massive MIMO', has been a key enabler for meeting the
ever-increasing capacity requirement for 5G communication systems and beyond.
Despite their promising performance, fully-digital massive MIMO systems require
a vast amount of hardware components including radio frequency chains, power
amplifiers, digital-to-analog converters (DACs), etc., resulting in a huge
increase in terms of the total power consumption and hardware costs for
cellular BSs. Towards both spectrally-efficient and energy-efficient massive
MIMO deployment, a number of hardware limited architectures have been proposed,
including hybrid analog-digital structures, constant-envelope transmission, and
use of low-resolution DACs. In this paper, we overview the recent interest in
improving the error-rate performance of massive MIMO systems deployed with
1-bit DACs through precoding at the symbol level. This line of research goes
beyond traditional interference suppression or cancellation techniques by
managing interference on a symbol-by-symbol basis. This provides unique
opportunities for interference-aware precoding tailored for practical massive
MIMO systems. Firstly, we characterize constructive interference (CI) and
elaborate on how CI can benefit the 1-bit signal design by exploiting the
traditionally undesired multi-user interference as well as the interference
from imperfect hardware components. Subsequently, we overview several solutions
for 1-bit signal design to illustrate the gains achievable by exploiting CI.
Finally, we identify some challenges and future research directions for 1-bit
massive MIMO systems that are yet to be explored.Comment: This work has been submitted to the IEEE for possible publication.
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CI-Based One-Bit Precoding for Multiuser Downlink Massive MIMO Systems with PSK Modulation: A Negative Penalty Approach
In this paper, we consider the one-bit precoding problem for the multiuser
downlink massive multiple-input multiple-output (MIMO) system with phase shift
keying (PSK) modulation and focus on the celebrated constructive interference
(CI)-based problem formulation. We first establish the NP-hardness of the
problem (even in the single-user case), which reveals the intrinsic difficulty
of globally solving the problem. Then, we propose a novel negative
penalty model for the considered problem, which penalizes the one-bit
constraint into the objective with a negative -norm term, and show the
equivalence between (global and local) solutions of the original problem and
the penalty problem when the penalty parameter is sufficiently large. We
further transform the penalty model into an equivalent min-max problem and
propose an efficient alternating optimization (AO) algorithm for solving it.
The AO algorithm enjoys low per-iteration complexity and is guaranteed to
converge to a stationary point of the min-max problem and a local minimizer of
the penalty problem. To further reduce the computational cost, we also propose
a low-complexity implementation of the AO algorithm, where the values of the
variables will be fixed in later iterations once they satisfy the one-bit
constraint. Numerical results show that, compared against the state-of-the-art
CI-based algorithms, both of the proposed algorithms generally achieve better
bit-error-rate (BER) performance with lower computational cost, especially when
the problem is difficult (e.g., high-order modulations, large number of
antennas, or high user-antenna ratio).Comment: 13 pages, 8 figures, submitted for possible publication. arXiv admin
note: text overlap with arXiv:2110.0476
A Tutorial on Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions
IEEE Interference is traditionally viewed as a performance limiting factor in wireless communication systems, which is to be minimized or mitigated. Nevertheless, a recent line of work has shown that by manipulating the interfering signals such that they add up constructively at the receiver side, known interference can be made beneficial and further improve the system performance in a variety of wireless scenarios, achieved by symbol-level precoding (SLP). This paper aims to provide a tutorial on interference exploitation techniques from the perspective of precoding design in a multi-antenna wireless communication system, by beginning with the classification of constructive interference (CI) and destructive interference (DI). The definition for CI is presented and the corresponding mathematical characterization is formulated for popular modulation types, based on which optimization-based precoding techniques are discussed. In addition, the extension of CI precoding to other application scenarios as well as for hardware efficiency is also described. Proof-of-concept testbeds are demonstrated for the potential practical implementation of CI precoding, and finally a list of open problems and practical challenges are presented to inspire and motivate further research directions in this area
Diversity Order Analysis for Quantized Constant Envelope Transmission
Quantized constant envelope (QCE) transmission is a popular and effective
technique to reduce the hardware cost and improve the power efficiency of 5G
and beyond systems equipped with large antenna arrays. It has been widely
observed that the number of quantization levels has a substantial impact on the
system performance. This paper aims to quantify the impact of the number of
quantization levels on the system performance. Specifically, we consider a
downlink single-user multiple-input-single-output (MISO) system with M-phase
shift keying (PSK) constellation under the Rayleigh fading channel. We first
derive a novel bound on the system symbol error probability (SEP). Based on the
derived SEP bound, we characterize the achievable diversity order of the
quantized matched filter (MF) precoding strategy. Our results show that full
diversity order can be achieved when the number of quantization levels L is
greater than the PSK constellation order M, i.e., L>M, only half diversity
order is achievable when L=M, and the achievable diversity order is 0 when L<M.
Simulation results verify our theoretical analysis.Comment: 9 pages, 3 figures, submitted for possible publicatio
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