Peng Li

Nanjing University of Information Science & Technology · School of Electronics & Information Engineering

A feature of the Internet of Things (IoT) is that the data demanded users in the system need to be served with low energy consumption. To address this requirement, multi-input multi-output (MIMO) technology can be used in the communication modules. In this paper, a novel low-complexity parameter estimator combined with an MMSE detector and a conste...

This paper proposes a cooperative spectrum sharing scheme for overlay Device-to-Device (D2D) enable cellular network. Based on the proposed scheme, the cell edge user (EU) intends to share its spectrum resource with a D2D transmission pair by overlay approach. The D2D transmission pair has to forward data for the EU with the aid of Non-Orthogonal M...

This paper proposes a reciprocal-selection-based ‘Win–Win’ overlay spectrum-sharing scheme for device-to-Device-enabled cellular networks to address the resource sharing between Device-to-Device devices and the cellular users by using an overlay approach. Based on the proposed scheme, the cell edge users intend to lease part of its spectrum resourc...

Traditional network MIMO systems with joint data processing usually require a large amount of backhaul data and a central processing station with very high processing power. In order to address this problem, the capacity of access network with network-enabled MIMO systems with distributed data processing is investigated in this paper. A study of ne...

For Massive multiple-input multiple output (MIMO) systems, many algorithms have been proposed for detecting spatially multiplexed signals, such as reactive tabu search (RTS), minimum mean square error (MMSE), etc. As a heuristic neighborhood search algorithm, RTS is particularly suitable for signal detection in systems with large number of antennas...

In this work, we consider the problem of reduced latency of low-density parity-check (LDPC) codes with iterative detection and decoding (IDD) receiver in multiuser multiple-antenna systems. The proposed knowledge-aided IDD (KA-IDD) system employs a minimum mean-square error detector with refined iterative processing and a reweighted belief propagat...

The Approximate Point-In-Triangulation (APIT) localization algorithm is a widely used indoor positioning technology due to its simplicity and low power consumption. However, in practice, In-to-Out misjudgments exist regularly in APIT, and a considerable amount of nodes cannot be positioned due to the low node density. To tackle this issue, a Collab...

A decision correction scheme is proposed to replace the unconfident decisions in the feedback loops to mitigate the effect of error propagation in a decision feedback scheme. A likelihood based reliability ordering is also introduced to further improve the reliability of feedback stages. With a negligible additional complexity cost, the proposed sc...

The codewords of a low-density parity-check (LDPC) convolutional code (LDPC-CC) are characterised into structured and non-structured. The number of the structured codewords is dominated by the size of the polynomial syndrome former matrix HT (D), while the number of the non-structured ones depends on the particular monomials or polynomials in HT (D...

In this paper, we introduce the multi-packet reception (MPR) technology to the outdoor free space optical (FSO) communication system to provide excellent throughput gain. Hence, we address two challenges: how to realize the MPR technology in the varying atmospheric turbulence channel and how to adjust the MPR capability to support as many devices t...

In dynamic propagation environments, beamforming algorithms may suffer from strong interference, steering vector mismatches, a low convergence speed and a high computational complexity. Reduced-rank signal processing techniques provide a way to address the problems mentioned above. This paper presents a low-complexity robust data-dependent dimensio...

Orthogonal frequency-division multiplexing (OFDM) systems over rapidly time varying channels may suffer from significant inter-carrier interference (ICI), which destroys the orthogonality between subcarriers and degrades the detection performance. Without sufficient ICI suppression, OFDM systems usually experience an error floor. According to the a...

We present low-complexity, quickly converging robust adaptive beamformers, for beamforming large arrays in snapshot deficient scenarios. The proposed algorithms are derived by combining data-dependent Krylov-subspace-based dimensionality reduction, using the Powers-of-R or conjugate gradient (CG) techniques, with ellipsoidal uncertainty set based r...

In this work, we propose intrinsic interference mitigating coordinated beamforming (IIM-CBF)-based transmission strategies for the downlink of multi-user multiple-input-multiple-out (MIMO) systems and coordinated multi-point (CoMP) systems where filter bank based multi-carrier with offset quadrature amplitude modulation (FBMC/OQAM) is employed. Our...

This paper considers base station cooperation (BSC) strategies for the uplink of a multi-user multi-cell high frequency reuse scenario where distributed iterative detection (DID) schemes with soft/hard interference cancellation algorithms are studied. The conventional distributed detection scheme exchanges {soft symbol estimates} with all cooperati...

Due to the fact that the out-of-band radiation of filter bank based multi-carrier modulation (FB-MC) is significantly lower compared to orthogonal frequency division multiplexing with the cyclic prefix insertion (CP-OFDM), it is beneficial to choose FB-MC over CP-OFDM for asynchronous scenarios or to achieve an effective utilization of spectrum hol...

In this contribution, we propose a coordinated transmit beamforming technique for point-to-point multiple-input-multiple-output (MIMO) filter bank based multi-carrier with offset quadrature amplitude modulation (FBMC/OQAM) systems. To enable reliable transmissions when the number of transmit antennas does not exceed the number of receive antennas a...

We propose an Iterative Detection and Decoding (IDD) scheme with Low Density Parity Check (LDPC) codes for Multiple Input Multiple Output (MIMO) systems for block-fading $F = 2$ and fast fading Rayleigh channels. An IDD receiver with soft information processing that exploits the code structure and the behaviour of the log likelihood ratios (LLR)'s...

We present low complexity, quickly converging robust adaptive beamformers that combine robust Capon beamformer (RCB) methods and data-adaptive Krylov subspace dimensionality reduction techniques. We extend a recently proposed reduced-dimension RCB framework, which ensures proper combination of RCBs with any form of dimensionality reduction that can...

This paper presents a low-complexity robust data-dependent dimensionality reduction based on a modified joint iterative optimization (MJIO) algorithm for reduced-rank beamforming and steering vector estimation. The proposed robust optimization procedure jointly adjusts the parameters of a rank-reduction matrix and an adaptive beamformer. The optimi...

We present low complexity, quickly converging robust adaptive beamformers that combine robust Capon beamformer (RCB) methods and data-adaptive Krylov subspace dimensionality reduction techniques. We extend a recently proposed reduced-dimension RCB framework, which ensures proper combination of RCBs with any form of dimensionality reduction that can...

In this paper, we consider the problem of iterative detection and decoding (IDD) for multi-antenna systems using low-density parity-check (LDPC) codes. The proposed IDD system consists of a soft-input soft-output parallel interference (PIC) cancellation scheme with linear minimum mean-square error (MMSE) receive filters and two novel belief propaga...

An adaptive iterative decision multi-feedback detection algorithm with constellation constraints is proposed for multiuser multi-antenna systems. An enhanced detection and interference cancellation is performed by introducing multiple constellation points as decision candidates. A complexity reduction strategy is developed to avoid redundant proces...

In this paper, a low-complexity multiple feedback successive interference cancellation (MF-SIC) strategy is proposed for the uplink of multiuser multiple-input multiple-output (MU-MIMO) systems. In the proposed MF-SIC {algorithm with shadow area constraints (SAC)}, an enhanced interference cancellation is achieved by introducing {constellation poin...

In this paper, a novel low-complexity adaptive decision feedback detection with parallel decision feedback and constellation constraints (P-DFCC) is proposed for multiuser MIMO systems. We propose a constrained constellation map which introduces a number of selected points served as the feedback candidates for interference cancellation. By introduc...

In this paper, we propose a successive interference cancellation (SIC) detector which utilises multiple feedback (MF) candidates for cancellation stages and a dynamic log-likelihood- ratio (LLR)-based dynamic reliability ordering (RO) of the cancellation stages in a multiple-input multiple-output (MIMO) system. The proposed multi-feedback reliabili...

In this paper, we consider the problem of iterative detection and decoding (IDD) for multi-antenna systems using low-density parity-check (LDPC) codes. The proposed IDD system consists of a soft-input soft-output parallel interference (PIC) cancellation scheme with linear minimum mean-square error (MMSE) receive filters and two novel belief propaga...

A novel cooperative interference mitigation strategy for an uplink cellular network with high frequency reuse factor is proposed in this paper. The cooperative base stations iteratively exchange their information among the neighbours while performing distributed signal processing. The base stations improve the estimate of the desired signal with ea...

A novel low-complexity decision-feedback detection algorithm with constellation constraints (DFCC) is proposed for multi-input–multi-output (MIMO) systems. An enhanced interference cancellation is achieved by introducing multiple constellation points as decision candidates. A complexity reduction strategy is also developed to avoid redundant proces...

The hierarchical wireless network [1] (HWN) is a promising and popular network architecture which has the capability to support numerous mobile stations (MSs). In the deployment of HWN, the relay nodes (RN) serve as the switching ports for the hub base station (HBS) in the backhaul network (BH) and the MSs in access network (AC) to exchange their o...

This paper proposes an irregular code-aided iteratively detected three-stage space-time scheme for a MIMO system. Benefiting from the serial concatenation at the transmitter of a space-time mapper, a low complexity unit rate code and an outer irregular code, and iterative processing among the three constituent detector/decoder at the receiver, the...

A low-complexity adaptive iterative decision feedback detection algorithm with constellation constraints (DFCC) is proposed for MIMO systems. In order to reduce the complexity of the DF processing with time-varying channels, the proposed receiver updates the filter weights by using a recursive least squares (RLS) based algorithm. An enhanced adapti...

In this paper, a low-complexity multiple feedback successive interference cancellation (MF-SIC) strategy is proposed for the uplink of multiuser multiple-input multiple-output (MU-MIMO) systems. In the proposed MF-SIC algorithm with shadow area constraints (SAC), an enhanced interference cancellation is achieved by introducing {constellation points...

In this paper, a new successive interference cancel- lation (SIC) strategy for multiple-input multiple output (MIMO) spatial multiplexing systems is developed to combat the error propagation (EP) in decision feedback systems. The proposed scheme employs a parallel multi-branch (MB) structure. Each branch employs a SIC with multi-feedback (MF) strat...

In this paper, a new low-complexity multiple feedback successive interference cancellation (MF-SIC) strategy is proposed for the uplink of multiuser multiple-input multiple-output (MU-MIMO) systems. In the proposed MF-SIC with shadow area constraints (SAC) algorithm, an enhanced multiple user interference (MUI) cancellation is achieved by introduci...

In this paper, we present two innovative LDPC-coded QR decomposition-based soft-output detection techniques, both of which are able to achieve a near-ML performance with significant reduced complexity compare to other optimal detection solutions, such as MAP or list SD algorithms. The first detector (MF-QRD) employs a multi-feedback technique to se...

In this paper, a channel adaptive FEC algorithm is proposed which balances the trade-off between the QoS of video transmission and the bandwidth utilization ratio in wireless IP networks. Our algorithm can dynamically adjust to a suboptimal number of FEC redundant packets to cater to the time-varying wireless channel. For the sake of obtaining the...

In this paper, we propose a novel low-complexity, multiple feedback successive interference cancellation (SIC) strategy for uncoded multiple-input multiple output (MIMO) spatial multiplexing systems. Since the complexity of the ML and the existing near ML algorithms such as the sphere decoder (SD) is still high in systems with bad channel condition...