SIDELOBE SUPPRESSION IN OFDM SYSTEMS

Similar documents
A New Space-Repetition Code Based on One Bit Feedback Compared to Alamouti Space-Time Code

CHAPTER 8 JOINT PAPR REDUCTION AND ICI CANCELLATION IN OFDM SYSTEMS

Introduction to CPM-OFDM: An Energy Efficient Multiple Access Transmission Scheme

COMPRESSION OF TRANSMULTIPLEXED ACOUSTIC SIGNALS

Symbol Error Rate Evaluation for OFDM Systems with MPSK Modulation

Comparison of Frequency Offset Estimation Methods for OFDM Burst Transmission in the Selective Fading Channels

Application of Improved Genetic Algorithm to Two-side Assembly Line Balancing

Throughput/Delay Analysis of Spectrally Phase- Encoded Optical CDMA over WDM Networks

The Potential of Dynamic Power and Sub-carrier Assignments in Multi-User OFDM-FDMA Cells

Cross-Layer Performance of a Distributed Real-Time MAC Protocol Supporting Variable Bit Rate Multiclass Services in WPANs

APPLICATION NOTE UNDERSTANDING EFFECTIVE BITS

PERFORMANCE COMPARISON BETWEEN MC-CDMA AND DS-CDMA SYSTEMS FOR AWGN AND RAYLEIGH FADING CHANNEL

The Potential of Dynamic Power and Sub-carrier Assignments in Multi-User OFDM-FDMA Cells

Analysis of SDR GNSS Using MATLAB

Implementation of OFDM wireless communication model for achieving the improved BER using DWT-OFDM

The PAPR Reduction in OFDM System with the Help of Signal Mapping Scheme

CHAPTER 5 A NEAR-LOSSLESS RUN-LENGTH CODER

Cancellation of Multiuser Interference due to Carrier Frequency Offsets in Uplink OFDMA

A study on the efficient compression algorithm of the voice/data integrated multiplexer

Encode Decode Sample Quantize [ ] [ ]

Spread Spectrum Signal for Digital Communications

Power Ratio Reduction with OFDM Signals for Broadband Wireless Mobile Communication

4. INTERSYMBOL INTERFERENCE

Beam Pattern Scanning (BPS) versus Space-Time Block Coding (STBC) and Space-Time Trellis Coding (STTC)

A New Design of Log-Periodic Dipole Array (LPDA) Antenna

Fitting Signals into Given Spectrum Modulation Methods

Adaptive Resource Allocation in Multiuser OFDM Systems

PHY-MAC dialogue with Multi-Packet Reception

SELEX Elsag. 5/18/2012 R. Pucci SDR 12 WinnComm 1

A Modified PTS Combined with Interleaving and Pulse Shaping Method Based on PAPR Reduction for STBC MIMO-OFDM System

Measurement of Equivalent Input Distortion AN 20

X-Bar and S-Squared Charts

A SELECTIVE POINTER FORWARDING STRATEGY FOR LOCATION TRACKING IN PERSONAL COMMUNICATION SYSTEMS

Adaptive Modulation for OFDM Systems J.Faezah 1, and K.Sabira 2

LETTER A Novel Adaptive Channel Estimation Scheme for DS-CDMA

Introduction to Wireless Communication Systems ECE 476/ECE 501C/CS 513 Winter 2003

A Reduced Complexity Channel Estimation for OFDM Systems with Precoding and Transmit Diversity in Mobile Wireless Channels Hlaing Minn, Dong In Kim an

Subband Coding of Speech Signals Using Decimation and Interpolation

On Parity based Divide and Conquer Recursive Functions

A NEW DISCRETE HARTLEY TRANSFORM PRECODING BASED INTERLEAVED-OFDMA UPLINK SYSTEM WITH REDUCED PAPR FOR 4G CELLULAR NETWORKS

Performance Improvement of Duty-Cycle Division Multiplexing System Utilizing Symbol Coding Customization

OFDM-BPSK Wireless Communication System Performance under Employment of Generalized Receiver

Logarithms APPENDIX IV. 265 Appendix

ECE 333: Introduction to Communication Networks Fall Lecture 4: Physical layer II

Cross-Entropy-Based Sign-Selection Algorithms for Peak-to-Average Power Ratio Reduction of OFDM Systems

Reducing Power Dissipation in Complex Digital Filters by using the Quadratic Residue Number System Λ

Combined Scheme for Fast PN Code Acquisition

OFDM-based analog multiband: a scalable design for indoor mm-wave wireless communication

High Speed Area Efficient Modulo 2 1

Decode-forward and Compute-forward Coding Schemes for the Two-Way Relay Channel

A Research on Spectrum Allocation Using Optimal Power in Downlink Wireless system

Intermediate Information Structures

3. Error Correcting Codes

PROJECT #2 GENERIC ROBOT SIMULATOR

A COMPARISON OF ALTERNATIVE FILTERBANK MULTICARRIER METHODS FOR COGNITIVE RADIO SYSTEMS

History and Advancement of the Family of Log Periodic Toothed Planer Microstrip Antenna

Self-Cancellation of Sample Frequency Offset in OFDM Systems in the Presence of Carrier Frequency Offset

IEEE TRANSACTIONS ON COMMUNICATIONS 1

Super J-MOS Low Power Loss Superjunction MOSFETs

OPTIMIZATION OF RNS FIR FILTERS FOR 6-INPUTS LUT BASED FPGAS

Multi-Carrier Transmission over Mobile Radio Channels. Jean-Paul M.G. Linnartz Philips Research and TU/e

Efficient Feedback-Based Scheduling Policies for Chunked Network Codes over Networks with Loss and Delay

Resource Allocation in Downlink MIMO-OFDMA with Proportional Fairness

Lecture 4: Frequency Reuse Concepts

Research Article A Hybrid Single-Carrier/Multicarrier Transmission Scheme with Power Allocation

A Fuzzy Rule Base Assisted Adaptive Coding and Modulation Scheme for OFDM Systems

Message Scheduling for the FlexRay Protocol: The Dynamic Segment

Sapana P. Dubey. (Department of applied mathematics,piet, Nagpur,India) I. INTRODUCTION

Proceedings of the 8th WSEAS Int. Conf. on ELECTRONICS, HARDWARE, WIRELESS and OPTICAL COMMUNICATIONS

DIGITALLY TUNED SINUSOIDAL OSCILLATOR USING MULTIPLE- OUTPUT CURRENT OPERATIONAL AMPLIFIER FOR APPLICATIONS IN HIGH STABLE ACOUSTICAL GENERATORS

SSB Noise Figure Measurements of Frequency Translating Devices

A novel adaptive modulation and coding strategy based on partial feedback for enhanced MBMS network

Design of FPGA Based SPWM Single Phase Inverter

Optimal Geolocation Updating for Location Aware Service Provisioning in Wireless Networks

Capacity Analysis for OFDM Systems with Transceiver I/Q Imbalance

Radar emitter recognition method based on AdaBoost and decision tree Tang Xiaojing1, a, Chen Weigao1 and Zhu Weigang1 1

Fingerprint Classification Based on Directional Image Constructed Using Wavelet Transform Domains

Novel pseudo random number generation using variant logic framework

Comparison of RLS&LMS Algorithms for OFDM Systems

Estimation of non Distortion Audio Signal Compression

An Adaptive Image Denoising Method based on Thresholding

Complex Quadrature Spatial Modulation

Design of FPGA- Based SPWM Single Phase Full-Bridge Inverter

Analytic comparison of using FFT and wavelet in IEEE a WLAN based OFDM technique

PERFORMANCE OF MULTIBEAM MIMO FOR NLOS MILLIMETER WAVE INDOOR COMMUNICATION SYSTEMS CHAPTER 6

On the Delay Performance of In-network Aggregation in Lossy Wireless Sensor Networks

Subcarriers and Bits Allocation in Multiuser Orthogonal Frequency Division Multiplexing System

Multisensor transducer based on a parallel fiber optic digital-to-analog converter

Permutation Enumeration

ETSI TS V ( )

Comparative Analysis of Different Techniques of PAPR Reduction in OFDM System

LinearizationofPowerAmplifierusingtheModifiedFeedForwardMethod. Linearization of Power Amplifier using the Modified Feed Forward Method

Measurements of the Communications Environment in Medium Voltage Power Distribution Lines for Wide-Band Power Line Communications

GENERALIZED WAVELET-BASED SYMBOL RATE ESTIMATION FOR LINEAR SINGLE- CARRIER MODULATION IN BLIND ENVIRONMENT

Harnessing oversampling in correlation-coded OTDR

Comparison of Convolutional and Turbo Coding For. Broadband FWA Systems

Modified OFDM Model Based on Sub-Sliding Window Technique

Design of a Mixed Prime Factor FFT for Portable Digital Radio Mondiale Receiver

PERFORMANCE ANALYSIS OF DIRECT SEQUENCE DIFFERENTIAL PHASE SHIFT KEYING (DS-DPSK) WITH SELF-NORMALIZATION AND L-FOLD DIVERSITY IN A FADING CHANNEL

New Techniques to Suppress the Sidelobes in OFDM System to Design a Successful Overlay System

Transcription:

SIDELOBE SUPPRESSION IN OFDM SYSTEMS Iva Cosovic Germa Aerospace Ceter (DLR), Ist. of Commuicatios ad Navigatio Oberpfaffehofe, 82234 Wesslig, Germay iva.cosovic@dlr.de Vijayasarathi Jaardhaam Muich Uiversity of Techology (TUM), 80333 Muich, Germay vijayasarathi.j@mytum.de Abstract I this cotributio, we develop a method for reducig out-of-bad emissio caused by high sidelobes i OFDM systems. The method is termed multiple-choice sequeces (MCS) ad operates i the frequecy domai of a OFDM system. The priciple of MCS is to map the origial trasmissio sequece oto a set of sequeces ad to choose, from this set, a sequece with the lowest power i sidelobes for the actual trasmissio. To eable successful sigal detectio, de-mappig of the received sequece oto the origial sequece is required at the receiver. Hece, a idex which uiquely idetifies the selected sequece is sigalled from the trasmitter to receiver. From this geeralized framework we derive several practical MCS algorithms. Simulatio results show that the MCS method achieves a cosiderable sidelobe suppressio which justifies the itroduced sigallig overhead. 1. Itroductio Orthogoal frequecy-divisio multiplexig (OFDM) systems have gaied a lot of popularity lately due to their high spectral efficiecy ad robustess to multi-path eviromets. OFDM has bee chose for may stadards like ADSL, DAB, DVB, IEEE 802.11a [1]. Oe of the drawbacks of OFDM is the high out-of-bad radiatio caused by the high sidelobes of the OFDM trasmissio sigal. The high sidelobes are particularly a critical issue i OFDM based overlay systems i which a broadbad OFDM system is overlaid o top of existig arrowbad systems [2]. As illustrated i Fig. 1, a overlay system exploits the u-

I. Cosovic ad V. Jaardhaam used parts of the spectrum assiged to the existig legacy systems, thus icreasig the spectral efficiecy. As this cocept requires successful co-existece betwee the legacy system ad the OFDM based overlay system, a crucial task i desigig such a overlay system is the avoidace of iterferece towards the legacy system. Therefore, the reductio of out-of-bad radiatio becomes a essetial topic, especially for the desig of OFDM based overlay systems. Power Existig legacy systems (digital ad/or aalog) OFDM overlay system Frequecy Figure 1. OFDM overlay cocept - exploitig the frequecy gaps i a existig frequecy badwidth. The topic of sidelobe suppressio i OFDM systems has ot bee extesively ivestigated so far. I [3], a multiplicatio of each OFDM symbol with a widowig fuctio i time domai ad isertio of empty guard bads are ivestigated. I [4] [5], isertio of a few dummy subcarriers at the edges of the used bads which are determied such that the sidelobes of the origial OFDM sigal are suppressed is preseted. I [6], a techique i which the subcarriers are weighted so that the sidelobes of the trasmissio sigal are miimized accordig to a optimizatio algorithm is proposed. I this paper, a differet method to sigificatly suppress the OFDM sidelobes is itroduced. This techique, referred to as multiple-choice sequeces (MCS), performs mappig of the origial trasmissio sequece oto a set of sequeces. From this set, a sequece which offers maximum reductio of out-of-bad radiatio is chose for the actual trasmissio. To eable successful sigal detectio, de-mappig of the received sequece oto the origial sequece is required at the receiver. To this purpose, a idex which uiquely idetifies the selected sequece i the set of several MCS has to be sigalled from the trasmitter to receiver. This results i a slightly reduced data throughput. However, umerical results show that this moderate loss i throughput is justified by the sigificat sidelobe suppressio achieved with this techique. The paper is structured as follows. I Sectio 2 the sigal model is itroduced. The priciple of MCS method is described ad several MCS algorithms are proposed ad aalyzed i Sectio 3. The proposed MCS

Sidelobe Suppressioi OFDM Systems algorithms are compared by umerical simulatios i Sectio 4. Fially, i Sectio 5 coclusios are draw. 2. OFDM Sigal Model As illustrated i Fig.1, a real OFDM based overlay system might cosist of several cotiuous trasmissio sub-bads i-betwee the legacy systems. The proposed algorithm ca be applied to the OFDM trasmissio sigal by cosiderig all the sub-bads joitly or by cosiderig each of the sub-bads separately. As we cocetrate o the priciple of MCS i this cotributio, a simplified problem with a sigle cotiuous OFDM trasmissio bad is cosidered i the followig. A OFDM system with a total umber of N subcarriers is cosidered. The block diagram of the OFDM trasmitter is illustrated i Fig. 2. The iput bits are symbol-mapped ad N complex-valued data symbols d, = 1, 2,..., N, are geerated. These symbols are serial-toparallel (S/P) coverted resultig i a N-elemet data symbol array d = (d 1, d 2,..., d N ) T, where (.) T deotes traspositio. The array d is fed ito the MCS sidelobe suppressio uit which outputs the selected MCS, deoted with d = ( d 1, d 2,..., d N ) T, ad the idex of the chose MCS, deoted with Q. The MCS algorithms that determie d ad Q are described i the ext sectio. Fially, the selected MCS sequece d is modulated oto the N subcarriers usig the iverse discrete Fourier trasform (IDFT). After that, parallel-to-serial (P/S) coversio is performed ad a guard iterval that exceeds the delay spread of the multipath chael is added as cyclic prefix. I additio, the idex of the selected MCS sequece Q is coded i bits ad trasmitted over the correspodig sigalig chael. Note that i the followig, for simplicity, we assume that the cyclic prefix is cosiderably shorter tha the useful part of a OFDM symbol. d 1,, N S/P d 1 d N MCS SIDELOBE SUPPRESSION d 1 d N Q IDFT P/S CYCLIC PREFIX To sigalig chael Figure 2. Block diagram of the OFDM trasmitter with MCS sidelobe suppressio.

I. Cosovic ad V. Jaardhaam 3. Sidelobe Suppressio by Multiple-Choice Sequeces (MCS) The Priciple of MCS The priciple of MCS is illustrated i Fig. 3. A set of sequeces d (p) = (d (p) 1, d(p) 2,..., d(p) N )T, p = 1, 2,..., P, is produced from the sequece d. For each sequece d (p) the average sidelobe power, deoted with A (p), p = 1, 2,..., P, is calculated. To determie A (p), a certai frequecy rage spaig several OFDM sidelobes, called optimizatio rage, is cosidered usig discrete frequecy samples. Recallig that the spectrum of a idividual subcarrier equals a si-fuctio si(x) = si(x)/x, A (p) is give by A (p) = 1 2 K N d (p) si (π(y K k x )), p=1, 2,..., P, (1) k=1 =1 where x, = 1, 2,..., N, are the ormalized subcarrier frequecies ad y k, k = 1, 2,..., K, are ormalized frequecy samples withi the optimizatio rage. The idex Q of the sequece with maximum sidelobe suppressio is give by Q = arg mi p A (p), p = 1, 2,..., P. (2) Thus, the sequece d=d (Q) is chose for trasmissio ad output from the MCS uit. d GENERATE THE MCS SET (1) d (P) d MCS SELECT WITH MINIMUM SIDELOBE POW. (Q) d d Q Figure 3. Block diagram of the MCS sidelobe suppressio uit. To eable successful data detectio, the received sequece has to be de-mapped oto the origial sequece at the receiver. The MCS set is costructed such that the kowledge about the idex Q of the selected sequece is sufficiet to perform this de-mappig. Thus, the idex Q is coded i bits, passed from the MCS uit to the sigallig chael, ad set to the receiver. For example, assumig a OFDM system with N subcarriers modulated with M-ary phase-shift-keyig (M-PSK) or M- ary quadrature amplitude modulatio (M-QAM) symbols, the overhead

Sidelobe Suppressioi OFDM Systems eeded for the sigallig iformatio is log 2 (P ) / ( log 2 (M) N + log 2 (P ) ), (3) which is egligible for largen ad/orm. I (3), x deotes the smallest iteger greater tha or equal to x. At the receiver, a estimate d (Q) of the trasmitted sequece d (Q) is obtaied which is trasformed ito a estimate d of the origial sequece d usig the sigallig iformatio. Note that the sigallig iformatio is the idex Q which idicates that the sequece d (Q) out of the MCS set has bee chose for trasmissio. I the followig several computatioally effective, but yet efficiet algorithms to geerate MCS sets are proposed ad aalyzed. The proposed methods do ot degrade the bit-error rate performace at the receiver ad require oly a slightly icreased sigallig overhead. Symbol Costellatio Approach This algorithm geerates the set of MCS such that the elemets d (p), = 1, 2,..., N, of d (p) belog to the same symbol costellatio as the elemets of d. With this approach the fact that differet symbol sequeces have sidelobes with differet powers is exploited. Assume that the symbol costellatio cosists of M poits that are umbered as 0, 1,..., M 1. To each symbol d, =1, 2,..., N, a idex i {0, 1,..., M 1} is assiged which correspods to the umber of the respective costellatio poit. The, the idex i (p) the MCS symbol d (p) ( i (p) = I (4), r (p) (i + r (p) that correspods to, = 1, 2,..., N, p = 1, 2,..., P, is give by ) ) mod M, = 1, 2,..., N, p = 1, 2,..., P. (4) is a iteger radomly chose from the set r (p) {0, 1,..., M 1}. After determiig P idex vectors i (p) = (i (p) 1, i(p) 2,..., i(p) N )T the MCS vectors d (p), p = 1, 2,..., P, are obtaied by takig the data symbols from the symbol costellatio accordig to the vectors i (p). We assume that the same radom seed for geeratig r (p), = 1, 2,..., N, p = 1, 2,..., P, is used at both trasmitter ad receiver. Hece, the trasformatio of the received sequece back to the origial sequece ca be easily performed by exploitig the trasmitted sigallig iformatio. Let p α be the probability that a sequece at the iput of the MCS uit has a average power i the optimizatio rage above a certai threshold α. With the symbol costellatio approach the P geerated MCS sequeces belog to the same symbol costellatio as the sequece iput to the MCS uit. Therefore, the correspodig probability for

I. Cosovic ad V. Jaardhaam each of the P geerated sequeces is also p α, whereas for the output MCS sequece this probability is p α = (p α ) P, (5) i.e., the probability is reduced from p α to (p α ) P, provig the beefits of the proposed approach. Iterleavig Approach The iterleavig approach produces P MCS sequeces by permutatig the iput sequece i a pseudoradom order. As a result, the resultig MCS symbols equal d (p) = d (p) Π, = 1, 2,..., N, p = 1, 2,..., P, (6) where Π (p) are permutatio idices stored at both trasmitter ad receiver. The permutatio idices Π (p) take values from the set Π (p) {0, 1,..., N 1} such that Π (p) Π (p) m if m. Similar to the symbol costellatio approach, the MCS symbols d (p) produced by the iterleavig approach stay i the same symbol costellatio as the origial symbols d. However, ulike the symbol costellatio approach, the umber of differet MCS d (p) possible with the iterleavig approach decreases whe the origial sequece d cotais reoccurrig data symbols. For example, if d = (1, 1,..., 1) T the iterleavig approach always produces d (p) = (1, 1,..., 1) T, p = 1, 2,..., P, irrespective of the selected permutatio idices. As a cosequece, the probability p α that a output MCS sequece has a average power i the optimizatio rage above a certai threshold α satisfies the coditio (p α ) P p α p α. (7) Note that the equality i (7) is valid oly if P = 1. Phase Approach I this approach the MCS symbols are obtaied by applyig radom phase shifts to the origial symbols. Hece, the resultig MCS symbols are formed as d (p) = d exp (jϕ (p) ), = 1, 2,..., N, p = 1, 2,..., P, (8) where the phase shifts ϕ (p) lie i the iterval [0, 2π) ad are geerated as ( ) r (p) = 2π. (9) M ϕ (p)

Sidelobe Suppressioi OFDM Systems I (9), M is a costat iteger ad r (p) is a iteger radomly chose from the set r (p) {0, 1,..., M 1}. Thus, ϕ (p) ca take oe of the M discrete phase values. Agai, the same radom seeds are used at the trasmitter ad receiver. Note that assumig a BPSK system ad M = 2, this approach becomes equivalet to the correspodig symbol costellatio approach. I the phase approach, the resultig MCS symbols do ot ecessarily belog to the same symbol costellatio as the origial symbols. Hece, a property similar to those described i (5) ad (7) caot be easily derived except for some special cases, e.g., M = 2. 4. Simulatio Results I this sectio, several umerical results are give that illustrate the effectiveess of the proposed MCS methods. BPSK modulatio is applied ad o chael codig is cosidered. The umber of used subcarriers is set to N = 12. The optimizatio rage cosists of 16 sidelobes at each side of the spectrum ad starts from the first sidelobe outside the OFDM trasmissio badwidth. Differet MCS methods are cosidered assumig differet sizes of the MCS set P. I Fig. 4, the ormalized power spectrum of the OFDM sigals averaged over all possible symbol vectors, i.e., 2 N symbol vectors, prior ad after the MCS uit are compared. The symbol costellatio approach is applied ad the size of the MCS set is fixed to P = 4. The beefits of the MCS techique are clearly visible. I compariso to OFDM without MCS the sidelobes are suppressed by aroud 6.1 db o average. I additio, from (3) it follows that these results are related to a reductio i system throughput of 14% for the chose system parameters. This sigallig overhead reduces if more subcarriers ad/or higher modulatio schemes are applied. I Fig. 5, the sidelobe suppressio averaged over all possible symbol vectors for differet sizes P of the MCS set ad differet MCS methods is give. To calculate the average sidelobe suppressio, stadard OFDM without MCS block is take as a referece. It ca be see that the symbol costellatio approach outperforms the other techiques. I particular, the iterleavig approach is outperformed as it offers less degrees of freedom i costructio of the MCS set tha the symbol costellatio approach. The performace of the phase approach depeds o the umber of possible radom phases M. To obtai these simulatio results M has bee set to M = 64. As already oted, settig M = 2 would lead to the same sidelobe suppressio results as obtaiable by the symbol costellatio approach. As expected, i all cosidered MCS approaches,

ormalized power spectrum i db 10 0-10 -20-30 -40-50 sidelobes -16 0 16 ormalized frequecy I. Cosovic ad V. Jaardhaam sidelobes origial sequece selected MCS Figure 4. OFDM spectrum of the origial trasmissio sequece ad of the trasmissio sequece after the MCS uit averaged over all possible data sequeces; symbol costellatio approach; BPSK, N = 12, P = 4. a icrease i size of the MCS set improves sidelobe suppressio, but simultaeously leads to a further icrease i sigallig overhead. As a cosequece, there is a trade-off betwee the additioal sidelobe suppressio obtaied by elargig the set size P ad the icreased sigallig overhead. Settig P = 2, 4, or 8 seems to be a good compromise. A further icrease of P appears to be ujustified as it leads to a relatively high sigallig overhead with oly moderate further improvemet i sidelobe suppressio. The probability that average power i the cosidered sidelobes of the chose MCS exceeds the threshold α is preseted i Fig. 6. Simulatio results are give for P = 4 ad P = 16 assumig differet MCS algorithms. As referece, correspodig probability for stadard OFDM without MCS block is give. As it ca be see, the symbol costellatio approach with P = 16 performs better tha other cosidered alteratives. Moreover, for P = 4, there is almost o differece i performace betwee the symbol costellatio ad iterleavig approach, whereas the phase approach performs cosiderably worse. Agai, for the phase approach M has bee set to M = 64. Fially, we ote that the preseted umerical results agree with the aalytical results give i (5) ad (7). Note that the MCS techique ca be easily combied with other sidelobe suppressio methods, e.g., methods from [3]- [6]. However, due to the space limitatio of this paper we skip details of such aalysis.

Sidelobe Suppressioi OFDM Systems 20 average sidelobe suppressio i db 18 16 14 12 10 8 6 4 2 symbol costellatio approach iterleavig approach phase approach 0 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 size of the MCS set, P Figure 5. Average sidelobe suppressio for differet sizes of the MCS set P ad for differet MCS methods; BPSK, N = 12. Pr[average sidelobe power i db > α] 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 P = 16 without MCS phase approach iterleavig approach sym. costellatio approach P = 4 0-50 -40-30 -20-10 0 threshold i db, α Figure 6. Probability that average power i the cosidered sidelobes of the chose MCS exceeds the threshold α; BPSK, N = 12. 5. Coclusios I this paper, we have itroduced a ew techique, termed multiplechoice sequeces (MCS), to suppress sidelobes of OFDM trasmissio sigals. The MCS techique ca be used to improve the spectral effi-

I. Cosovic ad V. Jaardhaam ciecy of OFDM based trasmissio systems ad/or to reduce iterferece of OFDM based overlay systems towards the legacy systems sharig the same frequecy bad. The proposed sidelobe suppressio scheme is capable of easily reducig the sidelobes of OFDM trasmissio sigals by several db. The price to pay for this achievemet is a moderate reductio i system throughput, sice the trasmissio of additioal sigallig iformatio is required. Ackowledgmet This work was supported by the Broadbad VHF Aeroautical Commuicatios System Based o MC-CDMA (B-VHF) project [7] which is fuded by the Europea Commissio withi the 6th Framework Programme. Refereces [1] K. Fazel ad S. Kaiser. Multi-Carrier ad Spread Spectrum Systems. Joh Wiley & Sos, 2003. [2] T. Weiss ad F. Jodral. Spectrum poolig - a iovative strategy for the ehacemet of spectrum efficiecy. I IEEE Commuicatios Magazie, Radio Commuicatios Supplemet, pages S8 S14, Mar. 2004. [3] T. Weiss, J. Hillebrad, A. Kroh, ad F. Jodral. Mutual iterferece i OFDM-based spectrum poolig systems. I Proceedigs IEEE Vehicular Techology Coferece (VTC 04, Sprig), May 2004. [4] J. Bigham. RFI suppressio i multicarrier trasmissio systems. I Proceedigs IEEE Global Telecommuicatios Coferece (GLOBECOM 96), Nov. 1996. [5] S. Brades, I. Cosovic, ad M. Schell. Sidelobe supressio i OFDM systems by isertio of cacellatio carriers. I Proceedigs IEEE Vehicular Techology Coferece (VTC 05 Fall), Sept. 2005. [6] I. Cosovic, S. Brades, ad M. Schell. A techique for sidelobe suppressio i OFDM systems. I Proceedigs IEEE Global Telecommuicatios Coferece (GLOBECOM 05), Nov. 2005. [7] http://www.b-vhf.org.