Iterative Single-Antenna Interference Cancellation: Algorithms and Results

The capacity of cellular mobile communication systems can significantly be improved using single-antenna interference cancellation (SAIC) techniques. This paper analyzes several soft-input–soft-output (SISO) detectors in iterative SAIC receivers based on the turbo principle and compares their performances and complexities. Among them, the concurrent maximum a posteriori probability (MAP) receiver, which detects single-user signals and exchanges the soft information between cochannel users, is found to provide a good balance between performance and complexity. It can perform nearly the same as the joint MAP algorithm and achieve the single-user matched-filter bound (MFB), and its complexity only linearly increases with the number of cochannel signals. Other reduced-complexity algorithms, such as the Rake Gaussian (RG) approach and soft interference cancellation with MAP equalization (SIC-MAP), also achieve satisfactory performance for binary phase-shift keying (BPSK) modulation when the cochannel interference (CCI) signal can be decoded.      

Emission Reduction and Capacity Increase in GSM Networks by Single Antenna Interference Cancellation

There is an increasing demand to utilize the frequency spectrum of mobile communication systems most efficiently. This means in particular to GSM networks that the frequency reuse shall be planned as low as possible. In this case the system may become limited by interference rather than coverage. One promising technology for GSM mobiles in interference-limited systems is single antenna interference cancellation (SAIC). This receiver technology allows both for increasing the network capacity and for reducing the base station transmit power. The aim of this paper is to assess the emission reduction as well as the system capacity capabilities when SAIC technology is applied in downlink receivers.     

Multicast beamforming with LOS self‐interference cancellation in full‐duplex wireless communications

In this paper, we consider a full‐duplex system where the access point installed with multiple transmitting antennas and a single receiving antenna serves several single‐antenna remote users. In this case, there are 2 kinds of interferences. One is the near‐field self‐interference (SI) induced by the simultaneous transmitting and receiving over the same band, and the other is the cochannel interference caused by the multicast broadcasting in the same band. A problem of near‐field SI cancellation and the cochannel interference suppression using transmit beamforming is formulated at the access point. This problem of ensuring the near‐field line‐of‐sight SI suppression benchmark and maximizing the minimum received signal‐to‐interference‐plus‐noise ratio of remote receivers leads to a nonconvex NP‐hard optimization. Furthermore, we introduce a semidefinite relaxation technique coupled with linear program power adjustment and an outer bisection search loop to transform the problem into a convex optimization. This can be solved by the modern interior point methods. Simulations show that the proposed method is feasible even when the local receive antenna in near‐field and the remote receivers in far field are in the same direction.     

Adaptive array processing MLSE receivers for TDMA digitalcellular/PCS communications

Array processing is a promising approach for improving quality, coverage, and capacity in digital cellular communication systems. By combining array processing with maximum likelihood sequence estimation (MLSE), intersymbol interference (ISI) introduced by multipath propagation can be mitigated as well. Novel symbol-spaced and fractionally spaced adaptive array processing MLSE receivers are developed for both diversity and phased array antenna configurations. The practical issues of synchronization and channel estimation are addressed. A novel approach to automatic frequency error correction (AFC) is proposed and is shown to be critical when cancelling cochannel interference. Performance is evaluated for the reverse link of the IS-136 TDMA-based digital cellular system. Substantial improvements are obtained over conventional antenna configurations for receiver sensitivity (2.5-4 dB) and over traditional antenna combining when cochannel interference is present (0.5-25 dB)     

Cochannel interference suppression with successive cancellation innarrow-band systems

Successive cancellation of cochannel signals is described in the context of TDMA mobile radio systems employing coherent receivers. Both symbol aligned and mis-aligned cochannel signals are studied. Signal separability, a major problem in successive cancellation of cochannel signals, is obtained using the relative timing delay between cochannel signals. Both hard and soft subtractions are examined. Soft subtraction, along with initial signal separation, leads to significant C/I gains     

基于天线阵列的一种SCDMA系统干扰消除技术研究

在同步码分多址(SCDMA)系统接收机中,基于天线阵列的级联干扰消除多用户检测器能够补偿用户特征波形间的非零互相关性。仿真比较表明,该方案性能优于常规检测器与单天线干扰消除器,可以克服远近效应,抑制多址干扰,明显提高系统容量。     

Adaptive detection for DS-CDMA

A review of adaptive detection techniques for direct-sequence code division multiple access (CDMA) signals is given. The goal is to improve CDMA system performance and capacity by reducing interference between users. The techniques considered are implementations of multiuser receivers, for which background material is given. Adaptive algorithms improve the feasibility of such receivers. Three main forms of receivers are considered. The minimum mean square error (MMSE) receiver is described and its performance illustrated. Numerous adaptive algorithms can be used to implement the MMSE receiver, including blind techniques, which eliminate the need for training sequences. The adaptive decorrelator can be used to eliminate interference from known interferers, though it is prone to noise enhancement. Multistage and successive interference cancellation techniques reduce interference by cancellation of one detected signal from another. Practical problems and some open research topics are mentioned. These typically relate to the convergence rate and tracking performance of the adaptive algorithm     

基于子带滤波器组的宽带自适应天线旁瓣相消技术

文[6]提出在数字移动通信中子带滤波器组处理可以提高不同阵元信号的相关性,从而能改善自适应阵列抑制码间干扰(ISI)和共信道干扰(CCI)的能力.在文[6]的基础上,本文研究了子带滤波器组在宽带自适应天线旁瓣相消中的应用,对其原理进行了理论分析,提出了有效的子带处理方法.经研究表明,子带滤波器组处理能有效增加主、辅助天线信号的相关性,从而提高系统干扰相消比.而且适当的过采样能使系统干扰相消比进一步提高.计算机仿真结果和实测雷达数据处理结果证实了子带处理方法的有效性和理论分析的正确性.     

Application of narrow-beam antennas and fractional loading factorin cellular communication systems

It is well known that cellular system capacity can be increased by reducing the cell cluster size N. Reducing the cluster size, however, increases cochannel interference. In the literature, several techniques have been proposed for controlling the cochannel interference and simultaneously reducing the cluster size. In this paper, we combine two proposed capacity improvement methods and explore the effectiveness of reducing cochannel interference using narrow-beam antennas (“smart antennas”) with the fractional loading factor. As shown in this paper, it is possible to increase capacity by many times by decreasing the cluster size (i.e. increasing frequency reuse), although the proper combination of antenna specifications and fractional loading is surprisingly nonintuitive. The first cochannel mitigation technique uses base-station antennas with narrow beams in the direction of the desired mobile stations and significant side lobe attenuation in the direction of undesired users. The second technique exploits the fact that interference is related to the loading factor p_ch, which defines the probability that a given channel is in use within a cell, We show that large capacity gains with respect to a reference cellular system (N=7, three sectors per cell) can be obtained by combining these two techniques. This paper provides insight for system-level deployment of high-capacity cellular systems and can be extended to fixed wireless systems as well     

对称Alpha稳定分布噪声下单天线干扰消除算法

蜂窝移动通信系统性能受限于码间干扰、同频干扰和脉冲噪声等因素。本文提出一种基于粒子滤波的单天线干扰消除算法。首先,对脉冲噪声采用Alpha稳定分布进行建模,并对该模型进行高斯近似,递推得到多个未知信道参数的联合后验概率。其次,提出基于延迟粒子滤波的同信道传输码元最大后验估计方法。理论推导和仿真实验结果表明本文算法能够消除码间干扰和同频干扰对码元检测的影响,与其他干扰消除算法相比,特别是在强脉冲噪声和未知信道参数情况下,具有一定的优势。      

Average output SINR of equal-gain diversity in correlated Nakagami-m fading with cochannel interference

In mobile radio systems, antenna diversity is used to combat fading and reduce the impact of cochannel interference. In this paper, we analyze the performance of L-branch equal-gain combining receivers over correlated nonidentically distributed Nakagami-m fading channels, in the presence of multiple identical cochannel interferers and additive white Gaussian noise. The performance criterion considered is the average output signal-to-interference-plus-noise ratio, which is obtained in closed form for both independent and correlative fading. Due to the simple form of the derived expressions, they readily allow numerical evaluation for cases of practical interest.     

Adaptive joint detection of cochannel signals for TDMA handsets

In mobile communication systems, downlink (forward link) system capacity is limited by the ability of mobile receivers to recover the desired signal in the presence of cochannel interference (CCI). Joint detection of the desired and cochannel signals is a useful approach to improving receiver performance, thus increasing system capacity. In this paper, we show that a practical single-antenna joint-detection receiver can provide significant gains in system capacity for the time-division multiple-access (TDMA) standard Telecommunications Industry Association/Electronic Industry Association/Interim Standard-136 (TIA/EIA/IS-136 or IS-136). For a sectorized system, joint detection provides a capacity gain of 47% in a typical urban environment. When used in conjunction with transmit beamforming, the synergy between the two approaches leads to a capacity gain of over 200%. In determining these gains, practical aspects of the IS-136 system are considered, namely, unsynchronized networks, limited receiver complexity, and adaptability. A semiblind acquisition process, which uses the training sequence of the desired user only, is employed, because the desired and interfering base stations are not synchronized. The receiver complexity is controlled by processing only one sample per symbol period, even though it is shown that multiple samples per symbol period should ideally be used. Finally, because receiver performance may be limited by its own intersymbol interference instead of CCI, an adaptive joint-detection process is used which selects between joint demodulation and single-user equalization for each slot.     

Receive antenna selection for MIMO spatial multiplexing: theory and algorithms

This paper discusses the problem of receive antenna subset selection in multiple-input multiple-output spatial multiplexing (MIMO-SM) systems. We develop selection algorithms for maximizing the channel capacity. One algorithm in particular allows tractable statistical analysis of performance. We leverage this to prove that the capacity of the system through receive antenna selection is statistically lower bounded by the capacity of a set of parallel independent single input multiple output (SIMO) channels, each with selection diversity. This provides the crucial step in proving the next main result: The diversity order achievable through antenna selection is the same as that of the full system. The result sets up strong motivation for introducing receive selection in MIMO-SM systems. The remainder of the paper discusses selection algorithms for two popular MIMO-SM systems, namely, ordered successive interference cancellation with independently encoded layers and minimum mean square error (MMSE) receiver with joint encoding of data streams. Extensive Monte Carlo simulations are presented to validate and demonstrate performance.     

Capacity regions and optimal power allocation for groupwise multiuser detection

In this letter, optimal power allocation and capacity regions are derived for groupwise successive interference cancellation (GSIC) systems operating in multipath fading channels, under imperfect channel estimation conditions. It is shown that the impact of channel estimation errors on the system capacity is two-fold: It affects the receiver performance within a group of users, as well as the cancellation performance (through cancellation errors). An iterative power allocation algorithm is derived, based on which it can be shown that that the total required received power is minimized when the groups are ordered according to their cancellation errors, and the first detected group has the smallest cancellation error. Performance/complexity tradeoff issues are also discussed by directly comparing the system capacity for different implementations: GSIC with linear minimum-mean-square error (LMMSE) receivers within the detection groups; GSIC with matched filter (MF) receivers; multicode LMMSE systems; and simple all MF receivers systems.     

Combined multiuser detection and diversity reception for wirelessCDMA systems

Code division multiple-access (CDMA) techniques using interference cancellation are being explored for the capacity increase in third-generation universal mobile telecommunications systems. However, multipath fading is a major constraint on the performance of wireless CDMA systems, with multipath propagation worsening the effects of multiple-access interference, and fading on propagation paths leading to the near far problem. Multiuser detection, exploiting the knowledge of other users to cancel multiple-access interference, has the capability of eliminating the near far problem and providing a significant capacity increase in CDMA systems. On the other hand, diversity techniques effectively combat the fading effects of the channel. This paper investigates multiuser receivers that combine explicit antenna diversity, RAKE multipath diversity, and multipath decorrelating detection. Both coherent reception with maximal-ratio combining and differentially coherent reception with equal-gain combining are analyzed. The results demonstrate a significant increase in up-link capacity over the conventional RAKE receiver, at the expense of complexity. In the case of limited receiver complexity, where the number of correlators is less than the number of resolvable paths at the RAKE front-end, antenna diversity is shown to be effective in reducing residual multiple-access interference     

Interference analysis and capacity for forward link 3G CDMA network with adaptive antennas

In code division multiple access (CDMA) systems, the capacity of forward link (FL) communication to mobile receivers is limited primarily by co‐channel interference (CCI). Adaptive antenna arrays (AAAs) that use antenna arrays along with advanced signal processing at the base station (BS) have been proposed to mitigate this limitation. For a 3G CDMA cellular network, where each BS equipped with an AAA serves mixture of voice and data users within its coverage, we study FL capacity and investigate the effects of different factors (array topology, multipath angle spread, data rate, and beamforming algorithm) on this capacity under Rayleigh fading channel. By modeling the instantaneous signal‐to‐interference power ratio received at the mobile, we derive the system outage equation that considers blocking of either desired voice or data user. Simulation results show that for the same element spacing and number of antenna elements per cell, the uniform circular array (UCA) topology results in larger capacity than the sectorized uniform linear array (ULA) topology does, and that a larger angle spread or data user rate reduces FL capacity. Copyright © 2007 John Wiley & Sons, Ltd.     

Energy-Efficient Resource Allocation in Mobile Networks with Distributed Antenna Transmission

This paper address the energy conservation issues in wireless downlink of mobile networks with distributed antenna transmission. From the basic information theory for MIMO channels, we derived a simple energy efficiency defined as number of bits per Watt. we then identified three approaches to improve the optimal energy efficiency with a higher capacity, which include alleviating channel fading loss, mitigating the interference, and increasing the number of antennas. We considered the scenario of a single cell with distributed antennas to jointly investigate above three factors. We first proposed a beamforming based energy-efficient resource allocation algorithm, which can achieve the optimal energy efficiency with a higher capacity through adaptively allocating resources and managing interferences. Due to the computational complexity of this algorithm and real-time processing requirement, we further proposed a low-complexity antenna-selection based resource allocation algorithm, which is more tractable and only with slightly performance loss. Finally, we compared different network configurations with these algorithms by extensive simulations, the results demonstrate that the proposed algorithms in distributed antenna configurations achieve better energy efficiency at a high operational throughput point.     

New insights into optimal widely linear array receivers for the demodulation of BPSK, MSK, and GMSK signals corrupted by noncircular interferences-application to SAIC

For nonstationary observations, potentially second-order (SO) noncircular, the SO optimal complex filters are time variant and, under some conditions of noncircularity, widely linear (WL). For more than a decade, there has been an increasing interest in optimal WL filters in radiocommunications contexts involving rectilinear signals such as binary phase-shift keying (BPSK) signals. In particular, it has been pointed out that single antenna interference cancellation (SAIC) may be performed by such filters in the context of BPSK cellular networks. Recently, it has been shown that, by a simple algebraic operation of demodulation on the baseband signal, the minimum shift keying (MSK) and Gaussian MSK (GMSK) modulations can be made to approximately correspond to a BPSK modulation, allowing the application of the SAIC concept to the GSM cellular network at the mobile level, being currently studied for standardization, and offering significant improvements of the network's capacity. Despite the increasing interest in optimal WL filters in rectilinear or quasi-rectilinear contexts, many questions about their behavior and their performance have still arisen. The purpose of this paper is to gain insight into the behavior, properties, and performance of optimal WL array receivers, and thus of the SAIC technology, for the demodulation of BPSK, MSK, and GMSK signals corrupted by noncircular interferences.     

Adaptive equalization and interference cancellation for wirelesscommunication systems

An adaptive equalization and interference cancellation method is proposed. The proposed scheme can cancel both intersymbol interference and cochannel interference, and is blind in the sense that no knowledge of the training sequences of the interfering users is required. In particular, it is a maximum likelihood sequence estimation (MLSE) equalizer that is implemented by the generalized Viterbi algorithm (GVA) with an RLS-based channel estimator. To demonstrate the potential of the proposed method, various simulation results over a frequency selective Rayleigh fading environment in the presence of cochannel interference are presented. In addition, a sequential algorithm is introduced to reduce the computational complexity of GVA     

A general analysis of signal strength handover algorithms withcochannel interference

In this paper, the problem of computing cochannel interference statistics in signal strength measurements in mobile radio systems is presented. In a cellular environment with cross-correlated log-normal shadowings, extensions of Wilkinson's method and Schwartz and Yeh's (1982) method are proposed for evaluating the statistics of differences between signal strengths that a mobile terminal measures on the links to any pair of base stations in the presence of cochannel interferers. The derived statistics are then used in the performance analysis of relative signal strength handover algorithms. Results provided by the two methods are compared with simulation results, in order to assess their accuracy, and computational issues are addressed. From numerical results, it is also seen that handover algorithm performance has a noticeable dependence on both cross correlation among shadow fadings and the interference level. Finally, it is seen that previous approaches to derive cochannel interference statistics in the presence of log-normal shadowing can be obtained as particular cases