In massive multiple-input multiple-output (MIMO) systems with time shifted pilot (TSP) schemes, the inter-group interference caused by contamination can be eliminated when number of base station (BS) antennas M approaches infinity. However, is finite in practice and effectiveness TSP limited channel estimation errors. this paper, it analytically shown that mean square error (MSCEE) dominated data interference. To reduce MSCEE antenna MIMO systems, an cancellation based for (IC-TSP) proposed,...

In this paper, we propose a frequency-time division network (FreqTimeNet) to improve the performance of deep learning (DL) based OFDM channel estimation. This FreqTimeNet is designed on orthogonality between frequency domain and time domain. FreqTimeNet, input processed by parallel blocks sequentially. By introducing attention mechanism using SNR information, an (AttenFreqTimeNet) proposed. Using 3rd Generation Partnership Project (3GPP) models, mean square error (MSE) AttenFreqTimeNet under...

Massive multiple-input multiple-output (MIMO) systems with 1-bit analog-to-digital converters (ADCs) are promising to reduce the energy consumption. However, serious quantization error caused by ADCs will potentially limit feasibility of high order modulations. This paper focuses on analysis phase-shift keying (PSK) signal transmission in ADC massive MIMO system. Firstly, assuming ideal channel estimation and a single mobile station (MS), we theoretically prove that an asymptotically large...

This paper investigates the transmission scheme of orthogonal time frequency space (OTFS) system with multiple antennas. Previous works have studied multi-antenna transmitter diversity ideal pulse shaping in OTFS systems assuming wireless channels two consecutive frames duration are invariant. However, can not be realized practice and channel varies rapidly high-speed mobility scenarios. To this end, we redesign to ensure its practicability rectangular-pulse-based systems. At first,...

Automatic modulation recognition(MR) is important in non-cooperative communications. Aiming to improve the performance of recognition at low signal noise ratio(SNR) region, this paper proposes a novel intelligent recognition(IMR) approach based on cyclic spectrum(CS). Since different modulated signals have unique CSs, they can be identified from features CS images using machine learning algorithms, such as Softmax. Note that training data used greatly reduced exploiting properties, symmetry...

This paper focuses on time shifted pilot (TSP) based division duplex (TDD) massive multiple-input multiple-output (MIMO) systems. Since the performance of TSP with finite number base station (BS) antennas is limited by poor channel estimation, impact estimation error firstly analyzed, which demonstrates that signal to interference plus noise ratios (SINR) both downlink and uplink are inversely proportional covariance coefficient error. Next, a successive cancellation (SIC-TSP) scheme...

This paper concerns a heterogeneous ultra dense network (HUDN) with regularly deployed macrocells. Aiming to combat both cross-tier and co-tier inter-cell interference (ICI), this proposes user-centric adaptive aware coordinated multipoint transmission (IA-CoMP) scheme, which takes the serving or master base station (BS) main interfering BSs decided by signal strength threshold as cooperative nodes. The coverage performance of IA-CoMP is analyzed. idea divide MSs in HUDN into three types...

Deploying 1-bit analog-to-digital converters (ADCs) in massive multiple-input multiple-output (MIMO) systems is promising to reduce the energy consumption. However, serious quantization errors limit feasibility of high order quadrature amplitude modulation (QAM). This paper focuses on performance analysis ADC MIMO with QAM. Firstly, we theoretically analyze relationship between error and various parameters. We reveal that there exists an overlapping constellations at signal noise ratio (SNR)...

In this paper, a systematic description of the artificial intelligence (AI)-based channel estimation track 2nd Wireless Communication AI Competition (WAIC) is provided, which hosted by IMT-2020(5G) Promotion Group 5G+AI Work Group. Firstly, system model demodulation reference signal (DMRS) based problem and its corresponding dataset are introduced. Then potential approaches for enhancing performance discussed from viewpoints data analysis, pre-processing, key components backbone network...

In 5G massive multiple-input multiple-output (MIMO) systems, to decrease the pilot overhead, symbols are not transmitted in every slot, where slot is smallest resource allocation unit consisting of several OFDM symbols. For channel state information (CSI) slots without symbols, prediction methods needed. Although existing with online training or optimization can dynamically capture changing high mobility, abundant additional required, which aggravate overhead. this letter, any partial based...

Computing resource allocation algorithms are very important in centralized radio access networks to reduce the power consumption and construction cost of base stations. Most current research cannot make best use computing resources because they take whole processing tasks one BS as object which is too large for a processor. Therefore, an Energy Aware Dynamic Resource Allocation (EADRA) algorithm proposed this paper, takes or sub-task dynamically achieve target that ability can be fully...

Heterogeneous ultra dense network (HUDN) is a promising technique to improve capacity for the fifth generation mobile communication system. However, HUDNs face challenges of severe inter-cell interference and imbalanced load. To maximize system utility, station (MS) offloading coordination should be considered jointly. This paper applies cell range expansion (CRE) in balance loads. First, source MSs analyzed HUDN with CRE, based on which initial idea frequency domain proposed. Then, joint MS...

Node mobility is one of the essential features ad-hoc communication network, especially on battlefield, where node movement determined by both characteristics and combat factors. This paper proposes a motion simulation framework with set novel models. The consisted three systems, i.e., threat adjustment assessment system, casualty statistic library system. first second systems are responsible for outputting factors fire results to third Based input information including factors, system as...

In massive multiple-input multiple-output (MIMO) systems with time shifted pilot (TSP) schemes, the inter-group interference caused by contamination can be eliminated when number of base station (BS) antennas M approaches infinity. However, is finite in practice and effectiveness TSP limited channel estimation errors. this paper, it analytically shown that mean square error (MSCEE) dominated intergroup data interference. To reduce MSCEE antenna MIMO systems, an cancellation based for...

In this paper, we propose a frequency-time division network (FreqTimeNet) to improve the performance of deep learning (DL) based OFDM channel estimation. This FreqTimeNet is designed on orthogonality between frequency domain and time domain. FreqTimeNet, input processed by parallel blocks sequentially. By introducing attention mechanism using SNR information, an (AttenFreqTimeNet) proposed. Using 3rd Generation Partnership Project (3GPP) models, mean square error (MSE) AttenFreqTimeNet under...