SPECTRUM SHARING IN CRN USING ARP PROTOCOL- ANALYSIS OF HIGH DATA RATE

Similar documents
Capacity and Cooperation in Wireless Networks

Exploiting Interference through Cooperation and Cognition

Fig.1channel model of multiuser ss OSTBC system

Cooperative Spectrum Sensing in Cognitive Radio

Performance Analysis of Cooperative Communication System with a SISO system in Flat Fading Rayleigh channel

Dynamic Resource Allocation for Multi Source-Destination Relay Networks

REVIEW OF COOPERATIVE SCHEMES BASED ON DISTRIBUTED CODING STRATEGY

Wireless Communication: Concepts, Techniques, and Models. Hongwei Zhang

SPLIT MLSE ADAPTIVE EQUALIZATION IN SEVERELY FADED RAYLEIGH MIMO CHANNELS

Decrease Interference Using Adaptive Modulation and Coding

MATLAB Simulation for Fixed Gain Amplify and Forward MIMO Relaying System using OSTBC under Flat Fading Rayleigh Channel

MIMO Systems and Applications

Lecture LTE (4G) -Technologies used in 4G and 5G. Spread Spectrum Communications

Aadptive Subcarrier Allocation for Multiple Cognitive Users over Fading Channels

Study and Analysis of 2x2 MIMO Systems for Different Modulation Techniques using MATLAB

Downlink Throughput Enhancement of a Cellular Network Using Two-Hopuser Deployable Indoor Relays

On the Achievable Diversity-vs-Multiplexing Tradeoff in Cooperative Channels

Spectrum Sensing and Data Transmission Tradeoff in Cognitive Radio Networks

PERFORMANCE OF TWO-PATH SUCCESSIVE RELAYING IN THE PRESENCE OF INTER-RELAY INTERFERENCE

Analysis and Improvements of Linear Multi-user user MIMO Precoding Techniques

Joint Relaying and Network Coding in Wireless Networks

Scaling Laws for Cognitive Radio Network with Heterogeneous Mobile Secondary Users

SPECTRUM-SHARING [1], [2] allows unlicensed (secondary)

OFDM Systems For Different Modulation Technique

Cooperative communication with regenerative relays for cognitive radio networks

Implementation of MIMO-OFDM System Based on MATLAB

EE360: Lecture 6 Outline MUD/MIMO in Cellular Systems

ISSN Vol.07,Issue.01, January-2015, Pages:

Amplify-and-Forward Space-Time Coded Cooperation via Incremental Relaying Behrouz Maham and Are Hjørungnes

Achievable Unified Performance Analysis of Orthogonal Space-Time Block Codes with Antenna Selection over Correlated Rayleigh Fading Channels

OUTAGE MINIMIZATION BY OPPORTUNISTIC COOPERATION. Deniz Gunduz, Elza Erkip

Resource Allocation in Energy-constrained Cooperative Wireless Networks

Key words: OFDM, FDM, BPSK, QPSK.

Achievable Transmission Capacity of Cognitive Radio Networks with Cooperative Relaying

Trellis-Coded-Modulation-OFDMA for Spectrum Sharing in Cognitive Environment

ENERGY EFFICIENT WATER-FILLING ALGORITHM FOR MIMO- OFDMA CELLULAR SYSTEM

Information Theory at the Extremes

Study of Turbo Coded OFDM over Fading Channel

Energy Efficient Power Adaptation and Spectrum Handoff for Multi User Mobile Cognitive Radio Networks

Fractional Cooperation and the Max-Min Rate in a Multi-Source Cooperative Network

Degrees of Freedom of Multi-hop MIMO Broadcast Networks with Delayed CSIT

Comparative Study of OFDM & MC-CDMA in WiMAX System

ADAPTIVE MIMO-OFDM SCHEME TO REDUCE COMPLEXITY AND OPTIMIZE USER DATA RATE OVER FADING CHANNEL IN WIRESS SENSOR NETWORKS

Bit Error Rate Performance Evaluation of Various Modulation Techniques with Forward Error Correction Coding of WiMAX

Abstract. Keywords - Cognitive Radio, Bit Error Rate, Rician Fading, Reed Solomon encoding, Convolution encoding.

A Secure Transmission of Cognitive Radio Networks through Markov Chain Model

Performance Analysis of Optimal Scheduling Based Firefly algorithm in MIMO system

Chapter 10. User Cooperative Communications

Effect of Time Bandwidth Product on Cooperative Communication

Near-Optimum Power Control for Two-Tier SIMO Uplink Under Power and Interference Constraints

STUDY OF THE PERFORMANCE OF THE LINEAR AND NON-LINEAR NARROW BAND RECEIVERS FOR 2X2 MIMO SYSTEMS WITH STBC MULTIPLEXING AND ALAMOTI CODING

Performance Evaluation of Dual Hop Multi-Antenna Multi- Relay System using Nakagami Fading Environment

Optimum Power Allocation in Cooperative Networks

Error Correcting Codes for Cooperative Broadcasting

Power Allocation based Hybrid Multihop Relaying Protocol for Sensor Networks

Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective

Optimizing future wireless communication systems

Multiple Antennas. Mats Bengtsson, Björn Ottersten. Basic Transmission Schemes 1 September 8, Presentation Outline

A SURVEY ON COOPERATIVE DIVERSITY AND ITS APPLICATIONS IN VARIOUS WIRELESS NETWORKS

A Cognitive Subcarriers Sharing Scheme for OFDM based Decode and Forward Relaying System

The Impact of EVA & EPA Parameters on LTE- MIMO System under Fading Environment

Blind Iterative Channel Estimation and Detection for LDPC-Coded Cooperation Under Multi-User Interference

Cooperative Orthogonal Space-Time-Frequency Block Codes over a MIMO-OFDM Frequency Selective Channel

Cooperative Spectrum Sensing and Decision Making Rules for Cognitive Radio

Power and Bandwidth Allocation in Cooperative Dirty Paper Coding

INTERNATIONAL JOURNALOF RESEARCH SCIENCE & MANAGEMENT

Webpage: Volume 4, Issue V, May 2016 ISSN

Performance Comparison of MIMO Systems over AWGN and Rician Channels with Zero Forcing Receivers

Comparison of MIMO OFDM System with BPSK and QPSK Modulation

Nagina Zarin, Imran Khan and Sadaqat Jan

Enhancement of Transmission Reliability in Multi Input Multi Output(MIMO) Antenna System for Improved Performance

Noncoherent Demodulation for Cooperative Diversity in Wireless Systems

Opportunistic Communication in Wireless Networks

AWGN Channel Performance Analysis of QO-STB Coded MIMO- OFDM System

Optimal Power Allocation over Fading Channels with Stringent Delay Constraints

Signal Processing for MIMO Interference Networks

DESIGN OF STBC ENCODER AND DECODER FOR 2X1 AND 2X2 MIMO SYSTEM

MATLAB COMMUNICATION TITLES

Bit Error Rate Performance Measurement of Wireless MIMO System Based on FPGA

Performance analysis of MISO-OFDM & MIMO-OFDM Systems

Adaptive Precoded MIMO for LTE Wireless Communication

On limits of Wireless Communications in a Fading Environment: a General Parameterization Quantifying Performance in Fading Channel

Review on Improvement in WIMAX System

DYNAMIC POWER ALLOCATION SCHEME USING LOAD MATRIX TO CONTROL INTERFERENCE IN 4G MOBILE COMMUNICATION SYSTEMS

PERFORMANCE ANALYSIS OF MIMO-SPACE TIME BLOCK CODING WITH DIFFERENT MODULATION TECHNIQUES

Performance Analysis of MIMO Equalization Techniques with Highly Efficient Channel Coding Schemes

Diversity Techniques

Random Beamforming with Multi-beam Selection for MIMO Broadcast Channels

PERFORMANCE ANALYSIS OF COLLABORATIVE HYBRID-ARQ INCREMENTAL REDUNDANCY PROTOCOLS OVER FADING CHANNELS

Cognitive Radio Transmission Based on Chip-level Space Time Block Coded MC-DS-CDMA over Fast-Fading Channel

IMPROVED QR AIDED DETECTION UNDER CHANNEL ESTIMATION ERROR CONDITION

IDMA Technology and Comparison survey of Interleavers

SPARSE CHANNEL ESTIMATION BY PILOT ALLOCATION IN MIMO-OFDM SYSTEMS

PERFORMANCE MEASUREMENT OF ONE-BIT HARD DECISION FUSION SCHEME FOR COOPERATIVE SPECTRUM SENSING IN CR

3432 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 53, NO. 10, OCTOBER 2007

DATA ALLOCATION WITH MULTI-CELL SC-FDMA FOR MIMO SYSTEMS

Performance Analysis of Multi Hop Relay Network in Rayleigh Fading

Cooperative Spectrum Sharing in Cognitive Radio Networks: A Game-Theoretic Approach

SPECTRAL PRECODING TECHNIQUES FOR COGNITIVE RADIO SYSTEMS TO IMPROVE SPECTRUM UTILIZATION

Multi-Relay Selection Based Resource Allocation in OFDMA System

Transcription:

Int. J. Chem. Sci.: 14(S3), 2016, 794-800 ISSN 0972-768X www.sadgurupublications.com SPECTRUM SHARING IN CRN USING ARP PROTOCOL- ANALYSIS OF HIGH DATA RATE ADITYA SAI *, ARSHEYA AFRAN and PRIYANKA Information & Telecomm. Engineering, SRM University, KATTANKULATHUR (T.N.) INDIA ABSTRACT In this paper the secondary user is allowed to share the spectrum with the primary user in cognitive radio network using MIMO system in which the spectral efficiency gain is more. When they share information with the common receiver, this method uses Successive interference Cancellation (SIC) technique to avoid the effect of detected primary signal transmitted through different nodes. It also analyse the SIC operation inaccuracy and Channel State Information (CSI) imperfection between primary user and secondary user. This also achieves high data rate compare to existing by changing the channel into frequency selective fading channel and applying relay based protocol, which helps to attain high SNR in communication. Key words: SNR, ARP, Frequency Selective fading channel. Cognitive radio network INTRODUCTION It is highly reliable wireless technology to satisfy the electromagnetic spectrum resource in availability. In CRN the unlicensed secondary user may coexist with the primary user which is licensed for the particular spectrum. Alternative relaying protocol Relays are used in between the source and destination. Different types of relays function is used for different type of relaying protocol. All these relays are estimated by their CSI which is very useful for complete transmission of data. Based on the type of relay function and type of decoding some relay protocol can attain the full channel state * Author for correspondence; E-mail: adityasai.velikanti@gmail.com, arsheya09111994@mail.com, priyankaselvaraj09@gmail.com

Int. J. Chem. Sci.: 14(S3), 2016 795 estimation in the destination side where the receiver uses partial Channel State Information at Receiver (CSIR) technique. Decode and forward protocol The main purpose of the relay is to receive the signal, decode and forward to the destination. This processing is called Hard-Decision. In this protocol the relay also amplifies the received signal and maintains the transmitted power in fixed average rate. There are different types of relays, compress and forward or quantize and forward. This protocol helps us to find the source of the received signal and it forwards to the destination. Co-operative relaying To extend the coverage area of our communication relays are used between the transmitter and receiver where the communication is called cooperative communication by the presence of relays. System design There are multiple primary nodes and secondary system with M antennas. There are two networks, network A and Network B which are licensed and have their own spectrum. When network B is trying to communicate with network A then network B is unlicensed for network A at that point the transmitter power of network B(secondary user) get reduced due to interference and thus we hereby tried to improvise the SNR of the secondary user. When spectral resources originally licensed primary user in order to share the spectrum for the secondary user the transmitter power is strictly limited by the predefined tolerable interference at the primary receiver. Hence these secondary user network in time division multiple access (TDMA) have equal time slot of transmission frame allocated to each secondary user. Frequecy selective fading In wireless communication the transmitter signal will have multipath because of reflection which is caused by the objects like building, trees, etc. This leads to interference in the transmitted signal and loss of data. Hence the channel spectral response is not flat it attains dips or fades sue to interference in the signal. This problem can be overcome by two ways using CDMA and OFDMA. In CDMA wide bandwidth using code division multiplexing technique. The dips in the spectrum can lead to small loss of signal power better than the complete loss. In OFDMA method the bandwidth carrier is split into many

796 A. Sai et al.: Spectrum Sharing in CRN Using. small carriers the original signal is fixed through wide bandwidth. So any nulls won t occur to all carrier frequencies. This results in loss of few carriers rather than the entire signal. The lost carrier signal also can be recovered using forward error correction method. Hence wideband spectrum is widely used in current spectrum scarcity. Where the large number of coherence band can be used by the receiver as well as the transmitter. The interference is maintained by two assumptions. First is, it needs to be within its allowable power constraints. Second is, it should not be more that predefined temperature value Q. These two conditions help to avoid interference on primary user receiver. The transmitter power of the secondary user is given by P, Pi =, Q ϕi ϕ i Q P Otherwise Here P is the interference power level caused by secondary user on primary interference. We assume MAC secondary in the presence of broadcast or MAC primary. To find corresponding throughput for secondary user, transmission strategy is constructed which will develop upper bound with respective throughput received. R mac = log det (I + H(S) Q s H (S) + G s Q p G s ) log det (I + G s Q p G s ) The secondary throughput is obtained by averaging over channel realization. Clustering R mac = E [R mac ] Clustering is a framework of our signal. We are using fixed clustering and gain clustering. Block diagram Source generation: The input signal is generated from transmitted side for sending the information. OFDM-MIMO: The technique used for transmission mode process in MIMO is under frequency division multiplexing in order to get high throughput communication. Modulation: The generated information signal is modulated using Binary Phase Shift Keying. In BPSK modulation the modulated bits are phase based which is in terms of 0 s and 1 s.

Int. J. Chem. Sci.: 14(S3), 2016 797 Source to relay: Relays are used in between transmitter and receiver to receive the signal and forward it to the destination without the delay. ARP protocol is used as relay protocol in this process. Channel: Channel is used as medium of communication between source and destination. The fading channel we use is frequency selective fading channel which means the selected frequency which is generated in the input will be received in the destination without any loss. Interference cancellation AWGN is atmospheric interference which is present in all wireless communication. This AWGN will affect the characteristics of original information which leads to interference in the signal. To eliminate the loss the interference first we have to evaluate by error rate in signal where the basic interference is ISI. Demodulation The modulated signal is demodulated in the receiver side without changing the original information which is generated in the source. Receiver It refers the destination of the communication. The total error rate is evaluated and plotted as a graph between BER vs. SNR. Relay selection RESULTS AND DISCUSSION There are four relays being used at the distance of 1 m. Here the data is being shared between different relays so that the number of iteration per relay gets reduced and the information can be sent faster. This graph explains as the number of iteration reduces the data rate gets increase and the relay is selected based on three parameters: maximum and minimum power, balanced power and channel coefficients. Co-operative BER Vs SNR This graphs illustrates the high data rate of the secondary date rate of secondary user. The SNR of secondary user is achieved till 40dB. Theoretically we achieved 50dB

798 A. Sai et al.: Spectrum Sharing in CRN Using. The number of launches through relay 700 600 500 400 300 200 0 0 0.5 1 1.5 2 2.5 3 3.5 The transmit rate (Mbps) 0-1 The average BER -2-3 -4-5.6 0 5 15 20 25 30 35 40 45 50 SNR (db) CONCLUSION Since we are dealing CRN when the secondary user is communicating with the primary user interference occurs which cause drop in SNR of the secondary user. Here we have increased the SNR value by changing the channel and introducing relay system. REFERENCES 1. A. Ghasemi and E. S. Sousa, Fundamental Limits of Spectrum-Sharing in Fading Environments, IEEE Trans, Wireless Communication, 6(2), 649-658 (2007).

Int. J. Chem. Sci.: 14(S3), 2016 799 2. M. Gastpar, On Capacity Under Receive and Spatial Spectrum-Sharing Constraints, IEEE Trans. Inf. Theory, 53(2), 471-487 (2007). 3. A. O. zgu r, O. Le veˆque and D. Tse, Hierarchical Cooperation Achieves Optimal Capacity Scaling in Ad Hoc Networks, IEEE Trans. Inf. Theory, 53(), 3549-3572 (2007). 4. Y. Liang and V. V. Veeravalli, Cooperative Relay Broadcast Channels, IEEE Trans. Inf. Theory, 53(3), 900-928 (2007). 5. D. Chen, K. Azarian and J. Laneman, A Case for Amplify-Forward Relaying in the Block-Fading Multiple-Access Channel, IEEE Trans. Inf. Theory, 54(8), 3728-3733 (2008). 6. O. S. Ahin, O. Simeone and E. Erkip, Interference Channel with an out of- Band Relay, IEEE Trans. Inf. Theory, 57(5), 2746-2764 (2011). 7. G. Zhao, J. Ma, G. Li, T. Wu, Y. Kwon, A. Soong and C. Yang, Spatial Spectrum Holes for Cognitive Radio with Relay-Assisted Directional Transmission, IEEE Trans. Wireless Commun., 8(), 5270-5279 (2009). 8. J. Mietzner, L. Lampe and R. Schober, Distributed Transmit Power Allocation for Multihop Cognitive-Radio Systems, IEEE Trans. Wireless Commun., 8(), 5187-5201 (2009). 9. V. Asghari and S. Aissa, Cooperative Relay Communication Performance Under Spectrum-Sharing Resource Requirements, IEEE ICC (20).. L. Li, X. Zhou, H. Xu, G. Li, D. Wang and A. Soong, Simplified Relay Selection and Power Allocation in Cooperative Cognitive Radio Systems, IEEE Trans, Wireless Commun., (1), 33-36 (2011). 11. M. Naeem, D. Lee and U. Pareek, An Efficient Multiple Relay Selection Scheme for Cognitive Radio Systems, IEEE ICC (20). 12. Y. Zou, J. Zhu, B. Zheng and Y.-D. Yao, An Adaptive Cooperation Diversity Scheme with Best-Relay Selection in Cognitive Radio Networks, IEEE Trans. Signal Process., 58(), 5438-5445 (20). 13. J. Lee, H. Wang, J. Andrews and D. Hong, Outage Probability of Cognitive Relay Networks with Interference Constraints, IEEE Trans. Wireless Communication., (2), 390-395 (2011). 14. H. B olcskei, R. Nabar, O. Oyman and A. Paulraj, Capacity Scaling Laws in MIMO Relay Networks, IEEE Trans. Wireless Commun., 5(6), 1433-1444 (2006).

800 A. Sai et al.: Spectrum Sharing in CRN Using. 15. A. Scaglione and Y.-W. Hong, Opportunistic Large Arrays: Cooperative Transmission in Wireless Multihop ad hoc Networks to Reach Far Distances, IEEE Trans. Signal Process., 51(8), 2082-2092 (2003). 16. R. Zhang, S. Cui, and Y.-C. Liang, On Ergodic Sum Capacity of Fading Cognitive Multiple-Access and Broadcast Channels, IEEE Trans. Inf. Theory, 55(11), 5161-5178 (2009). 17. Y. Li and A. Nosratinia, Capacity Limits of Multiuser Multi Antenna Cognitive Networks, IEEE Trans. Inf. Theory, 58(7), 4493-4508 (2012). 18. R. Zhang, On Peak Versus Average Interference Power Constraints for Protecting Primary Users in Cognitive Radio Networks, IEEE Trans. Wireless Commun., 8(4), 2112-2120 (2009). 19. Y. Jing and B. Hassibi, Distributed Space-Time Coding in Wireless Relay Networks, IEEE Trans. Wireless Commun., 5(12), 3524-3536 (2006). 20. P. Gupta and P. Kumar, The Capacity of Wireless Networks, IEEE Trans. Inf. Theory, 46(2), 388-404 (2000). 21. M. Sharif and B. Hassibi, On the Capacity of MIMO Broadcast Channels with Partial Side Information, IEEE Trans. Inf. Theory, 51(2), 506-522 (2005). 22. S. Jayaweera and T. Li, Dynamic Spectrum Leasing in Cognitive Radio Networks Via Primary-Secondary User Power Control Games, IEEE Trans. Wireless Communication, 8(6), 3300-33 (2009). 23. A. Gut, Stopped Random Walks: Limit Theorems and Applications, Springer (2008). 24. R. J. Serfling, Approximation Theorems of Mathematical Statistics, Wiley (1980). Accepted : 11..2016