Robust blind PIC with adaptive despreader and improved interference estimator

In this paper, an adaptive parallel interference cancellation (PIC) receiver is introduced for asynchronous multicarrier code division multiple access based (MC-CDMA) communications systems. The multiple access interference (MAI) estimates are obtained using the bit estimates from the previous stage and the adaptive weights for the bit estimates. The adaptive weights are updated by minimizing the mean squared error between the received signal and its estimate based on the adaptation of the normalized least mean square (LMS) algorithm. The results from the simulations show that the performance of conventional PIC (CPIC) and adaptive PIC (APIC) can be different depending on the combining schemes used.

We present a reduced-complexity parallel interference cancellation (PIC) technique, in which PIC is performed only on "unreliable" bits (blocks). We term our technique statistical PIC (STPIC), since the decision to employ PIC for any user signal is based upon received signal statistics. Here we propose two different methods: one is bitwise (instantaneous) STPIC (ISTPIC), in which IC is performed only on the bits whose absolute log likelihood ratio (LLR) is below a pre-selected threshold; the other method is block STPIC (BSTPIC), in which IC is performed only on the blocks whose average signal-to-noise-plus-interference ratio (SNIR) is below a pre-selected threshold. Both LLR and SNIR statistics reduce to quantities simple to obtain. We show that STPIC can achieve performance equivalent to conventional full PIC (FPIC) and other partial PIC techniques in flat Rayleigh fading channels, but with reduced computational complexity. We also show our proposed ISTPIC can achieve performance better than FPIC in good channel conditions (e.g., AWGN), still with reduced computational complexity. The ISTPIC performance gain over conventional FPIC is larger in conditions of larger loading factor where efficient IC techniques are more likely to be needed

This paper proposes a new application of fuzzy inference mechanism to the interference cancellation in a direct-sequence code-division multiple-access (DS/CDMA) communication system over a non-perfect power control channel. Multistage parallel interference cancellation (PIC) is an effective method to cancel the multiple access interference (MAI) for equal-power channels; nevertheless, there is a significant degradation in performance for non-equal power ones. The effectiveness of interference cancellation is related to the reliability of the tentative decision involved in the interference estimates. We established a fuzzy logic system to adapt the weight of each interference cancellation path. According to the received signal's reliability, the weights of interfering users can be estimated by the fuzzy inference mechanism, so that the error propagation would be minimized. The simulation results show that the proposed adaptive fuzzy PIC scheme is robust to the interference and channel noise and is superior to the conventional PIC and constant weight PIC schemes under a severe near-far environment.

Multiple access interference (MAI) is inevitable in all kinds of CDMA mobile communication systems. In order to decrease MAI efficiently parallel interference cancellation (PIC) was proposed, however, it would be injured by mistake decision. Thus a wide variety of partial parallel interference cancellation (PPIC) algorithms have been constructed so as to solve this problem. Under such background this paper applied basic fuzzy theory to PIC and generated a new PPIC algorithm — fuzzy parallel interference cancellation based on estimated signal-to-interference ratio (SIR-FPIC). Matlab simulation results showed that SIR-FPIC algorithm was able to lower the system bit error rate compared with conventional PIC and improve the reception capability.

In this work, a novel particle swarm optimization (PSO) assisted Joint Channel Estimation and Partial Parallel Interference Cancellation (PSO-JCEPPIC) detector is adopted for multiuser Multiple-Input Multiple-Output/Space Division Multiple Access (MIMO-SDMA) Orthogonal Frequency Division Multiplexing (OFDM) systems. The proposed PSO-PPIC scheme tries to reduce the cancellation error in Conventional Parallel Interference Cancellation (CPIC) detection schemes used in MIMO SDMA-OFDM system. The PSO algorithm is employed in searching the optimal weights of the PPIC for multiple access interference cancellation. The proposed scheme is shown to provide a performance improvement as compared to MMSE and CPIC detectors especially in an overloaded scenario where the number of users is high as compared to the base station (BS) antennas. In this scenario, the channel coefficients become more difficult to be estimated, due to the high number of independent channel links and the constraint imposed by the MIMO channel matrix rank. The proposed PSO-JCEPPIC scheme presents an efficient solution to the multiuser detection and the MIMO channel matrix estimation dilemma in the previously mentioned scenario.

In this paper, a new scheme of Joint Channel Estimation and Partial Parallel Interference Cancellation using Simulating Annealing (SA) or Particle Swarm Optimization (PSO) algorithms is proposed. This scheme is proposed for multiuser Multiple-Input Multiple-Output /Space Division Multiple Access (MIMO-SDMA) Orthogonal Frequency Division Multiplexing (OFDM) systems. The proposed scheme tries to reduce the cancellation error in Conventional Parallel Interference Cancellation (CPIC) detection schemes used in MIMO SDMA-OFDM system. The SA and PSO algorithms are employed in searching the optimal weights of the PPIC for multiple access interference cancellation. The proposed scheme is shown to provide a performance improvement as compared to MMSE and CPIC detectors especially in an overloaded scenario where number of users is high as compared to the Base Station (BS) antennas. In this scenario, channel estimation becomes more challenging, owing to the increased number of independent transmitter-receiver links to be estimated and the constraint imposed by the rank of the MIMO channel matrix. The proposed scheme provides a reasonable solution to the multiuser MIMO channel estimation problem and multiuser detection in the above-mentioned overloaded scenario.

A Hybrid Interference Cancellation technique for overloaded CDMA with timing offset error

A simple direct sequence-code division multiple access receiver that combines adaptive beamforming with parallel interference cancellation in a multipath fading channel is proposed and analyzed. A fast adaptation, conjugate gradient algorithm is used to find the optimum beamformer weights. By beamforming, the desired user's signal is enhanced and the cochannel interference from other directions is reduced. For in-beam multiple access interference reduction, a parallel interference canceller is used in each RAKE finger. In the demodulation process, we propose a new demodulation method in which the incoming signal is correlated with the effecting spreading code rather than the physical spreading code called the effective matched filter. A new combining method called equivalent maximal ratio combining is also proposed and analyzed. The average uncoded bit error rate as a function of the average antenna signal-to-noise ratio and the number of receiving antennas is examined in a frequency selective Rayleigh fading channel for all proposed receiver structures. Both simulation and analysis show an increase in system capacity as a function of the number of antennas and the number of interferers canceled per finger.

In this paper, we investigate the feasibility of a 2 Dimensional Optical Code Division Multiple Access system (2DOCDMA), with electronic coding and decoding functions. We present a modified construction method of Multi-Wavelength Optical Orthogonal Codes (MWOOC) which permits high flexibility for the code parameters choice. Our objective is to evaluate the 2D code performance, with a Conventional Correlation Receiver (CCR) and a more complex one named Parallel Interference Cancellation receiver (PIC). For example, for a Bit Error Rate (BER)10-9, 30 simultaneous users and an electrical implementation, we show that contrary to the CCR, the use of a PIC receiver leads to workable 2D code solutions.

The quality of wireless communication links that employ code-division multiple access (CDMA) mainly suffers from user capacity limit caused by multiple access interference (MAI). To reduce the MAI, we propose parallel interference cancellation assisted channel estimation (PICACE) especially for the indoor reverse link and present theoretical results. We use the signal processing worksystem (SPW) simulator for evaluating 2-D linear 1st order Gaussian interpolation. Because each user's signal on the reverse link may experience different channel fading, we propose reference aided data structure to distinguish each user's own signal. The theoretical results illustrate that PICACE can extend the user capacity of CDMA.

A multi-stage partial parallel interference cancellation receiver is proposed for the multi-rate DS-CDMA system which adopts the multiple processing gain scheme. In each stage of the proposed receiver, partial cancellation is performed with an adaptive decision threshold which is computed from the matched filter outputs of the previous stage. The BER performance of the proposed receiver is obtained by simulation in a Rayleigh fading channel. It is shown that the proposed receiver achieves smaller BER than the multi-stage parallel interference cancellation receiver and extended group-wise successive interference cancellation receiver in the multi-rate DS-CDMA system.

The parallel interference cancellation (PIC) multiuser receiver is among the most interesting multiuser demodulators for practical mobile communication systems. Thus, the performance of the PIC multiuser receivers operating in frequency selective fading channels is evaluated in this paper. A decision-directed (DD) multiuser complex channel gain estimation based both on prediction and smoothing is applied. The impact of delay estimation errors on the bit error rate (BER) of the receiver in both channel coded and uncoded CDMA systems is evaluated. It is observed that a rather low standard deviation of delay estimation errors (/spl les/0.1) is required to obtain a robust receiver performance. If that is the case the performance of the PIC receiver is close to the known delay case, and superior performance can be obtained.

In this paper, we propose a novel differentially coherent (DC) parallel interference cancellation (PIC) scheme for direct-sequence code-division multiple access (DS-CDMA) employing differential phase-shift keying (DPSK). The proposed scheme combines decision-feedback differential detection (DF-DD) and PIC. For optimization of the DF-DD and interference cancellation (IC) filters three different criteria are adopted. The first (DC-PIC I) and the second (DC-PIC II) criteria assume a constant channel and a channel with a small constant frequency offset, respectively, whereas the third criterion (DC-PIC III) optimizes the filters in the minimum mean-squared error (MMSE) sense taking into account the statistical properties of the underlying channel. Simulations show the high achievable performance and the robustness of the novel DC-PIC receiver. A comparison with linear DC receivers and a previously proposed DC-PIC scheme show the superiority of the proposed approach.

The paper introduces an analytical tool to find the large-system performance of a multistage linear partial parallel interference cancellation (PPIC) receiver using the moments of the eigenvalues of the covariance matrix for a code division multiple access (CDMA) system over a frequency-flat fading channel. The figure of merit to evaluate the performance is the signal-to-interference-plus-noise ratio (SINR) that is calculated under a large-system condition. In this case, the number of active users and the processing gain tend towards infinity while their ratio is a fixed value. It is shown that the large-system performance is a function of the system load, the partial cancellation factor (PCF), the number of interference cancellation stages, the signal-to-noise ratio (SNR), and the received powers of the interfering users. Furthermore, for practical applications, the physical meaning of the large system is described by numerical simulations.

In this paper, a technique for improving parallel interference cancellation (PIC) receivers with linear estimators is studied in a CDMA system under power control and near-far case. By multiplying the received signal for each user in early stages by a factor superior than unity, the proposed technique significantly reduces the harmful impact of the bias upon BER performance and requires only vector implementation under power control. In order to make the analysis more tractable, the proposed bias mitigation technique is described for a synchronous multi-user communication scenario with binary signalling, non-orthogonal multiple access interference in an additive white Gaussian noise channel.