The capacity of the two-user Gaussian interference channel has been open for 30 years. understanding on this problem limited. best known achievable region is due to Han and Kobayashi but its characterization very complicated. It also not how tight existing outer bounds are. In work, we show that can in fact be arbitrarily loose some parameter ranges, by deriving new bounds, a simple explicit Han-Kobayashi type scheme achieve within single bit per second hertz (bit/s/Hz) all values...

Reconfigurable intelligent surface (RIS) is considered to be an energy-efficient approach reshape the wireless environment for improved throughput. Its passive feature greatly reduces energy consumption, which makes RIS a promising technique enabling future smart city. Existing beamforming designs mainly focus on optimizing spectral efficiency single carrier systems. Meanwhile, complicated bit/power allocation different spatial domain subchannels needs designed better bit error rate (BER)...

DC is one of the most important features introduced in Release 12 3GPP specifications. aims at increasing per-user throughput by improving utilization radio resources across two base stations connected via non-ideal backhaul (X2) and operating on different carrier frequencies. By making it possible to maintain connection primary cell located macro station while accessing extra capacity provided small layer, can also improve mobility performance deployments. This article gives an overview...

In this letter, we exploit the potential benefits of machine learning in enhancing physical layer security multi-input multi-output multi-antenna-eavesdropper wiretap channels. To end, focus on scenario where source adopts transmit antenna selection (TAS) as transmission strategy. We assume that channel state information (CSI) legitimate receiver is available to source, while CSI eavesdropper can be either known or not at source. By modeling problem TAS a multiclass classification problem,...

This paper proposes a closed-loop sparse channel estimation (CE) scheme for wideband millimeter-wave hybrid full-dimensional multiple-input multiple-output and time division duplexing based systems, which exploits the sparsity in both angle delay domains. At downlink CE stage, random transmit precoding matrix is designed at base station (BS) sounding, receive combining matrices user devices (UDs) are whereby array visualized as low-dimensional digital facilitating multi-dimensional unitary...

The emerging space-air-ground integrated network has attracted intensive research and necessitates reliable efficient aeronautical communications. This paper investigates terahertz Ultra-Massive (UM)-MIMO-based communications proposes an effective channel estimation tracking scheme, which can solve the performance degradation problem caused by unique <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">triple delay-beam-Doppler squint effects</i>...

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) with hybrid precoding is a promising technique for the future 5G wireless communications. Due to large number of antennas but much smaller radio frequency chains, estimating high-dimensional mmWave MIMO channel will bring pilot overhead. To overcome this challenge, paper proposes super-resolution estimation scheme based on 2-D unitary ESPRIT algorithm. By exploiting angular sparsity channels, continuously distributed...

Underwater Wireless Sensor Networks (UWSNs) have emerged as a remarkable interest for scholars worldwide in terms of various applications such monitoring offshore oil and gas reservoirs, pollution, oceans defense, other tsunami. Terrestrial (TWSN) UWSNs share many characteristics apart from having different communication medium working environment face the challenges low-bandwidth, long latency, high bit error rate. These caused problems low reliability, packet retransmission, consumption...

Dual connectivity (DC) allows user equipments (UEs) to receive data simultaneously from different eNodeBs (eNBs) in order boost the performance a heterogeneous network with dedicated carrier deployment. Yet, how efficiently operate DC opens number of research questions. In this paper we focus on case where macro and small cell eNBs are inter-connected traditional backhaul links characterized by certain latency, assuming independent radio resource management (RRM) functionalities residing...

Faster-than-Nyquist (FTN) signaling has attracted a lot of attentions for the fifth-generation (5G) cellular communication systems. However, low-complexity receiver design FTN becomes challenging. In this paper, we develop frequency-domain joint channel estimation and decoding methods transmitting systems over frequency-selective fading channels. To deal with colored noise inherent in signaling, propose to approximate corresponding autocorrelation matrix by circulant matrix, special...

Localization and synchronization are very important in many wireless applications such as monitoring vehicle tracking. Utilizing the same time of arrival (TOA) measurements for simultaneous localization is challenging. In this paper, we present a factor graph (FG) representation joint problem based on TOA measurements, which non-line-of-sight also taken into consideration. On FG, belief propagation (BP) message passing variational (VMP) applied to derive two fully distributed cooperative...

Hybrid analog-digital precoding is challenging for broadband millimeter-wave (mmWave) massive MIMO systems, since the analog precoder frequency-flat but mmWave channels are frequency-selective. In this paper, we propose a principal component analysis (PCA)-based hybrid precoder/combiner design, where both fully-connected array and partially-connected subarray (including fixed adaptive subarrays) investigated. Specifically, first design based on PCA, whereby low-dimensional acquired optimal...

Orthogonal time frequency space (OTFS) modulation has been proved to have better bit error rate (BER) performance over orthogonal division multiplexing (OFDM) under high-mobility conditions. In this letter, a new transmission scheme, called OTFS with dual-mode index (OTFS-DM-IM), is proposed balance the reliability and spectral efficiency. Moreover, modified log-likelihood ratio (LLR) detector based on minimum Hamming distance designed for demodulation. Then, theoretical BER analysis of...

LoRa is a proprietary technology for IoT (Internet of Things) applications and it has attracted widespread interest from both academia industry in recent years. As the core technique physical (PHY) layer, chirp spread spectrum (CSS) modulation adopted to support long range communications. In this letter, we propose novel group-based CSS (GCSS) scheme introduce new configurable parameter called group number (GN) as an enhancement PHY layer with aim achieving more extensive flexible trade-off...

Long-Range (LoRa) is one of the emerging technologies in low-power wide-area networks (LPWANs). In this letter, we proposed a Time Domain Multiplexed LoRa (TDM-LoRa) modulation to improve throughput conventional by using up-chirp and down-chirp simultaneously. A low complexity non-coherent algorithm for TDM-LoRa also presented. We then derive an analytical expression bit error rate (BER) demodulation additive white Gaussian noise (AWGN) channel. addition, scheme that encodes information bits...

Post-biopsy acute urinary retention (AUR) is still a common complication, often leading to extended hospital stays and greater patient discomfort. This study aimed develop validate nomogram for the early identification of AUR after transrectal prostate biopsy (TRPB). We collected data on patients who underwent TRPB at The Third Affiliated Hospital Sun Yat-sen University between January 2019 November 2023, including all characteristics morphological parameters. A total 403 were screened...

The growth of power demand and the increase new energy penetration have resulted in a heightened necessity for precision short-term load forecasting distribution networks. majority current research on is focused improvement algorithms, with relatively limited attention paid to meteorological factors. Furthermore, this area typically focuses single factor, namely, temperature, does not sufficiently address processing data features. In light aforementioned considerations, paper puts forth...