APPLYING DISTRIBUTED ORTHOGONAL SPACE TIME BLOCK CODING IN COOPERATIVE COMMUNICATION NETWORKS

In this research, we investigate cooperative spectrum sensing using distributed orthogonal space time block coding (DOSTBC). Multiple antennas are introduced at the transmitter and the receiver to achieve higher cooperative diversity in the cooperative wireless (CW) networks. The received signals from the primary users (PUs) at the cooperative relays (CRs) are encoded and retransmitted to the cooperative controller (CC), where further decisions are made depending on the information sent from the CRs. The cooperative relaying protocol employed here in CRs is based on decoding forward (DF) technique. The proposed Alamouti scheme in orthogonal space time block code (OSTBC) has been found to enhance detection performance in CW networks. The analyses over independent Rayleigh fading channels are performed by the energy detector. In CW networks the secondary users (SUs) use the available frequency band as the PUs is absent. The SU discontinue using the licensed band and head off as soon as the PU is present. The SUs is more responsive and intelligent in detecting the spectrum holes. The principal aim of the CW network is to use the available holes without causing any interference to the PUs. The CRs are preferably placed close to the PU to detect transmitted signal, with decoding capability the information collected are decoded by CRs using Maximum Likelihood (ML) decoding technique. The CRs then re-encode the decoded data and retransmit it to the receiver. The energy detector accumulates information from various users, compares it using threshold value (T_f) predefined and the final decision made. The probabilities of detection and false alarm are observed using DOSTBC on PU and SU in cooperative communication via DF protocol. The system performance is investigated with single and multiple relays; with and without direct path between the PUs and SUs. Selection Combining (SC) and Maximum Ratio Combining (MRC) schemes are applied in energy detector and the outcomes are evaluated with and without direct link between PU and SU. The proposed cooperative spectrum sensing using DF protocol at CRs with Alamouti space time block code (STBC) is processed and results are validated by computer simulation.

[1]  Changchuan Yin,et al.  A squaring method to simplify the decoding of orthogonal space-time block codes , 2001, IEEE Trans. Commun..

[2]  Patrick Mitran,et al.  Limits on communications in a cognitive radio channel , 2006, IEEE Communications Magazine.

[3]  Il-Min Kim,et al.  Single-Symbol ML Decodable Distributed STBCs for Cooperative Networks , 2006, IEEE Transactions on Information Theory.

[4]  Andrea J. Goldsmith,et al.  Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks , 2004, IEEE Journal on Selected Areas in Communications.

[5]  Aria Nosratinia,et al.  Cooperative communication in wireless networks , 2004, IEEE Communications Magazine.

[6]  Candice King,et al.  Fundamentals of wireless communications , 2013, 2013 IEEE Rural Electric Power Conference (REPC).

[7]  Stéphanie Rouquette-Léveil,et al.  Orthogonal full diversity space-time block coding based on transmit channel state information for 4 Tx antennas , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[8]  Georgios B. Giannakis,et al.  High-Performance Cooperative Demodulation With Decode-and-Forward Relays , 2007, IEEE Transactions on Communications.

[9]  Zhu Han,et al.  Replacement of spectrum sensing in cognitive radio , 2009, IEEE Transactions on Wireless Communications.

[10]  L. H. Brandenburg,et al.  Capacity of the Gaussian channel with memory: The multivariate case , 1974 .

[11]  Lars Berlemann Cognitive Radio and Management of Spectrum and Radio Resources in Reconfigurable Networks , 2005 .

[12]  Deniz Gündüz,et al.  Opportunistic cooperation by dynamic resource allocation , 2007, IEEE Transactions on Wireless Communications.

[13]  T. Gulliver,et al.  Capacity and error probability analysis for orthogonal space-time block codes over fading channels , 2005, IEEE Transactions on Wireless Communications.

[14]  Worapong Tangsrirat,et al.  Electronically Tunable Current-Mode Universal Filter Employing Only Plus-Type Current-Controlled Conveyors and Grounded Capacitors , 2006 .

[15]  Jonathan R. Partington,et al.  Linear Operators And Linear Systems , 2004 .

[16]  J. Salz,et al.  Digital transmission over cross-coupled linear channels , 1985, AT&T Technical Journal.

[17]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[18]  Chafic Nassif,et al.  Three step Cooperative MIMO relaying , 2005 .

[19]  Constantinos B. Papadias,et al.  A space-time coding approach for systems employing four transmit antennas , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[20]  Muhammad Taher Abuelma'atti,et al.  A novel single-input multiple-output current-mode current-controlled universal filter , 1998 .

[21]  Reinaldo A. Valenzuela,et al.  Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture , 1999 .

[22]  A. Robert Calderbank,et al.  Space-Time block codes from orthogonal designs , 1999, IEEE Trans. Inf. Theory.

[23]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[24]  Erik G. Larsson,et al.  Soft-decision metrics for coded orthogonal signaling in symmetric alpha-stable noise , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[25]  Petre Stoica,et al.  Space-Time Diversity Using Orthogonal and Amicable Orthogonal Designs , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[26]  J. H. Winters,et al.  The diversity gain of transmit diversity in wireless systems with Rayleigh fading , 1994, Proceedings of ICC/SUPERCOMM'94 - 1994 International Conference on Communications.

[27]  Umberto Spagnolini,et al.  Distributed Orthogonal Space-Time Coding: Design and Outage Analysis for Randomized Cooperation , 2007, IEEE Transactions on Wireless Communications.

[28]  Thomas L. Marzetta,et al.  Unitary space-time modulation for multiple-antenna communications in Rayleigh flat fading , 2000, IEEE Trans. Inf. Theory.

[29]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[30]  Bin Shen,et al.  Comparison of DF and AF based cooperative spectrum sensing in cognitive radio , 2008, 2008 14th Asia-Pacific Conference on Communications.

[31]  Arogyaswami Paulraj,et al.  Multiple-Input Multiple-Output (MIMO) Wireless Systems , 2002 .

[32]  D.R. Brown,et al.  Resource allocation for cooperative transmission in wireless networks with orthogonal users , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[33]  Mazen O. Hasna,et al.  End-to-end performance of transmission systems with relays over Rayleigh-fading channels , 2003, IEEE Trans. Wirel. Commun..

[34]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[35]  Yindi Jing,et al.  Using Orthogonal and Quasi-Orthogonal Designs in Wireless Relay Networks , 2007, IEEE Transactions on Information Theory.

[36]  Lizhong Zheng,et al.  Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels , 2003, IEEE Trans. Inf. Theory.

[37]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[38]  Claude Oestges,et al.  MIMO Wireless Communications: From Real-World Propagation to Space-Time Code Design , 2007 .

[39]  Robert W. Heath,et al.  Shifting the MIMO Paradigm , 2007, IEEE Signal Processing Magazine.

[40]  H. Vincent Poor,et al.  Optimal selection of channel sensing order in cognitive radio , 2009, IEEE Transactions on Wireless Communications.

[41]  Ha Duyen Trung,et al.  A Study on the Channel Capacity of Multiple-Input Multiple-Output (MIMO) Wireless System , 2007, 2007 IFIP International Conference on Wireless and Optical Communications Networks.

[42]  R. CalderbankA.,et al.  Space-time codes for high data rate wireless communication , 2006 .

[43]  K. J. Ray Liu,et al.  Design Criteria and Performance Analysis for Distributed Space-Time Coding , 2008, IEEE Transactions on Vehicular Technology.

[44]  Gordon L. Stüber Principles of mobile communication , 1996 .

[45]  Dongwoo Kim,et al.  Decouple-and-Forward Relaying for Dual-Hop Alamouti Transmissions , 2008, IEEE Communications Letters.

[46]  A. Robert Calderbank,et al.  Space-Time Codes for High Data Rate Wireless Communications : Performance criterion and Code Construction , 1998, IEEE Trans. Inf. Theory.

[47]  Lutz H.-J. Lampe,et al.  Distributed space-time block coding , 2006, IEEE Transactions on Communications.

[48]  John M. Cioffi,et al.  Spatio-temporal coding for wireless communication , 1998, IEEE Trans. Commun..