Differential Characteristics Based Iterative Multiuser Detection for Wireless Sensor Networks

High throughput, low latency and reliable communication has always been a hot topic for wireless sensor networks (WSNs) in various applications. Multiuser detection is widely used to suppress the bad effect of multiple access interference in WSNs. In this paper, a novel multiuser detection method based on differential characteristics is proposed to suppress multiple access interference. The proposed iterative receive method consists of three stages. Firstly, a differential characteristics function is presented based on the optimal multiuser detection decision function; then on the basis of differential characteristics, a preliminary threshold detection is utilized to find the potential wrongly received bits; after that an error bit corrector is employed to correct the wrong bits. In order to further lower the bit error ratio (BER), the differential characteristics calculation, threshold detection and error bit correction process described above are iteratively executed. Simulation results show that after only a few iterations the proposed multiuser detection method can achieve satisfactory BER performance. Besides, BER and near far resistance performance are much better than traditional suboptimal multiuser detection methods. Furthermore, the proposed iterative multiuser detection method also has a large system capacity.

[1]  Zhi Quan,et al.  Efficient multiuser detector based on box-constrained deregularization and its FPGA design , 2012 .

[2]  Heinrich Luecken,et al.  UWB Marine Engine Telemetry Sensor Networks: Enabling Reliable Low-Complexity Communication , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

[3]  Shlomo Shamai,et al.  The Spectral Efficiency of Successive Cancellation With Linear Multiuser Detection for Randomly Spread CDMA , 2012, IEEE Transactions on Information Theory.

[4]  S. Tamil Selvi,et al.  Precoder Based Collaborative Blind Multiuser Detection of CDMA Signals , 2015, Wirel. Pers. Commun..

[5]  Padmavati,et al.  Comparison of routing protocols in wireless sensor network using mobile sink- A survey , 2014, 2014 Recent Advances in Engineering and Computational Sciences (RAECS).

[6]  Bangwon Seo SINR Lower Bound Based Multiuser Detector for Uplink MC-CDMA Systems with Residual Frequency Offset , 2012, IEEE Communications Letters.

[7]  Naeem Zafar Azeemi,et al.  A novel subspace tracking algorithm and its application to blind multiuser detection in cellular CDMA systems , 2010, Journal of Communications and Networks.

[8]  Christian Bettstetter,et al.  Experiments with UWB aircraft sensor networks , 2016, 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[9]  Lei Wang,et al.  A sub-GHz mostly digital impulse radio UWB transceiver for wireless body sensor networks , 2013, 2013 International Symposium onVLSI Design, Automation, and Test (VLSI-DAT).

[10]  Fathi M. Salem,et al.  Robust Blind Multiuser Detection Algorithm Using Fourth-Order Cumulant Matrices , 2015, Circuits Syst. Signal Process..

[11]  Hoang-Yang Lu,et al.  Iterative Multiuser Detectors for Spatial–Frequency–Time-Domain Spread Multi-Carrier DS-CDMA Systems , 2011, IEEE Transactions on Vehicular Technology.

[12]  Mahesh K. Varanasi,et al.  Near-optimum detection in synchronous code-division multiple-access systems , 1991, IEEE Trans. Commun..

[13]  Sahbasadat Rajamand,et al.  A Novel Multiuser Detector Based on Restricted Search Space and Depth-First Tree Search Method in DS/CDMA Communication Systems , 2015, Wirel. Pers. Commun..

[14]  Liwei Zhang,et al.  Blind Multiuser Detection Based on Tikhonov Regularization , 2011, IEEE Communications Letters.

[15]  Masato Okada,et al.  Generating Functional Analysis for Iterative CDMA Multiuser Detectors , 2011, IEEE Transactions on Information Theory.

[16]  Heba Shaban,et al.  Low-Power and Reliable Communications for UWB-Based Wireless Monitoring Sensor Networks in Underground Mine Tunnels , 2015, Int. J. Distributed Sens. Networks.

[17]  Linhua Zheng,et al.  Improved two-stage CMA-based blind receivers for joint equalisation and multiuser detection , 2012, IET Commun..

[18]  Byonghyo Shim,et al.  Multiuser Detection via Compressive Sensing , 2012, IEEE Communications Letters.

[19]  Paeiz Azmi,et al.  An Iterative Multiuser Detector for Overloaded LDPC Coded CDMA Systems , 2012, Wirel. Pers. Commun..

[20]  Toshiyuki Tanaka,et al.  Performance Improvement of Iterative Multiuser Detection for Large Sparsely Spread CDMA Systems by Spatial Coupling , 2012, IEEE Transactions on Information Theory.

[21]  John M. Cioffi,et al.  Iterative spectrum shaping with opportunistic multiuser detection , 2009, 2009 IEEE International Symposium on Information Theory.

[22]  Hamidreza Amindavar,et al.  Low-complexity ad-hoc non-linearities for blind multiuser detection of long-code code-division multiple access signals and asymptotic performance evaluation , 2014, IET Commun..

[23]  Zhilu Wu,et al.  The Applications of Decision-Level Data Fusion Techniques in the Field of Multiuser Detection for DS-UWB Systems , 2015, Sensors.

[24]  John M. Cioffi,et al.  Exploiting Opportunistic Multiuser Detection in Decentralized Multiuser MIMO Systems , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[25]  Zhi Ding,et al.  Blind Multiuser Detection for Synchronous High Rate Space-Time Block Coded Transmission , 2011, IEEE Transactions on Wireless Communications.

[26]  Gang Wei,et al.  On Minimum-BER Linear Multiuser Detection for DS-CDMA Channels , 2007, IEEE Transactions on Signal Processing.

[27]  H. Vincent Poor,et al.  Iterative (turbo) soft interference cancellation and decoding for coded CDMA , 1999, IEEE Trans. Commun..

[28]  Danick Briand,et al.  A low-cost UWB sensor node powered by a piezoelectric harvester or solar cells , 2016 .

[29]  Sergio Verdú,et al.  Minimum probability of error for asynchronous Gaussian multiple-access channels , 1986, IEEE Trans. Inf. Theory.