1710 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 49, NO. 10, OCTOBER 2001 Partial Successive Interference Cancellation in Hybrid DS/FH Spread-Spectrum Multiple-Access Systems Jin Hoon Kim and Sang Wu Kim Abstract—Partial successive interference cancellation is considered in hybrid DS/FH spread-spectrum multiple-access (SSMA) systems. We first show that the lowest BER attained by employing full interference cancellation in DS/SSMA systems can almost be achieved by employing a partial interference cancellation in hybrid DS/FH systems. The reduction in the number of cancellations translates into an alleviation of correlator speed requirements and a reduction in delays incurred in interference cancellations. The optimal number of frequency slots that minimizes the BER is investigated as a function of the number of interference cancellations. The effect of imperfect power control on the BER is investigated. I. INTRODUCTION I N THIS letter, we consider a partial successive interference cancellation in hybrid direct-sequence/frequency-hopped spread-spectrum multiple-access (DS/FH SSMA) systems. The drawback of successive interference cancellation (SIC) is the requirement for a high processing speed of the correlator. For users, the data from the weakest DS/SSMA systems with correlation times. Therefore, user is decoded only after bps, the correlator must in order to ensure a data rate of bps. perform the correlation at a much higher rate of Thus, the processing speed of the correlator may limit the number of possible cancellations, particularly for a large . In this letter, we show that the lowest BER attained by employing full interference cancellation in DS/SSMA systems, can almost be attained by employing a partial interference cancellation in hybrid DS/FH systems. The reduction in the number of cancellations translates into a reduction of both the correlation speed requirement and the delay incurred in cancelling interference. We consider a hybrid DS/FH SSMA system [1] in which there are frequency slots, and a DS signal having a spreading gain, defined as the number of chips per information bit, of , is sent (bandover a frequency slot. We assume that the product width expansion factor) is fixed to maintain the overall band) and the FH system width fixed. Note that the DS system ( ) are two extreme cases of the hybrid DS/FH systems. ( users, in which each user For hybrid DS/FH systems with selects a frequency slot randomly, the average number of in. Therefore, the average terfering users in a slot is number of interference cancellations can be reduced by a factor of , while the spreading gain is also reduced by a factor of because of the fixed total bandwidth. When the number of interference cancellations is limited (partial cancellation), BER can Paper approved by C.-L. Wang, the Editor for Equalization of the IEEE Communications Society. Manuscript received January 14, 2000; revised September 15, 2000, and January 31, 2001. This paper was presented in part at the 2000 IEEE 51st Vehicular Technology Conference, Tokyo, Japan, May 15–18, 2000. The authors are with the Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Taejon 305–701, Korea. Publisher Item Identifier S 0090-6778(01)09105-X. be reduced by increasing beyond 1, because the amount of interference left after a partial cancellation can be decreased by increasing . However, a further increase of does not essentially decrease the BER, because the interference can almost be cancelled even with a limited number of cancellations, when is large. Increasing results in only decreasing the spreading gain. Therefore, we expect that there exists an optimum (and ) that minimizes BER for a given number of interference cancellations. In particular, if the multiple-access interference (MAI) can be fully cancelled (full cancellation), we would expect that (DS) yields the lowest BER, because increasing beyond 1 does not essentially decrease the amount of interference left after full cancellation and results in only decreasing the spreading gain. We investigate the optimum as a function of the number of interference cancellations. We will also investigate the effect of imperfect power control on the BER by simulation. The rest of this letter is organized as follows. Section II describes the system model. In Section III, we derive the average BER of a hybrid DS/FH SSMA system with SIC as a function of the number of interference cancellations. In Section IV, we present our numerical results and then discuss advantages that the hybrid system provides over the conventional DS system with full interference cancellation. We also present simulation results for the situation where the power control is not perfect. Finally, conclusions are made in Section V. II. SYSTEM MODEL We consider an asynchronous hybrid DS/FH SSMA system, wherein there are users. The th user generates a binary data at a rate of bps which is multiplied by a sequence and then sent over one of random spreading sequence possible frequency slots using a random frequency hopping pat. We assume a slow frequency-nonselective Rayleigh tern fading channel. This assumption is valid for channels with a small delay spread, such as indoor systems. Then, the received is given by signal (1) is a random variable where is the transmitted power, and representing the power control error for the th user. We assume is log-normally distributed with standard deviation that [dB] [4], [5]. It is shown in [4] that is between 1 and 2 [dB] is the channel gain of the th user which in practical systems. for all . and are is Rayleigh distributed with the channel induced delay and the phase of the th user, which 0090–6778/01$10.00 © 2001 IEEE IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 49, NO. 10, OCTOBER 2001 1711 Fig. 1. Overall receiver block diagram. are uniformly distributed over and , respectively. is the Gaussian noise with mean zero and two-sided power . It was shown in [7] and [8] that interspectral density of ference cancellation is fairly robust to phase and timing errors. Therefore, we assume that the estimations on the time delay and phase are perfect as in [2], [3], and [6]. We also assume that the receiver knows the spreading sequences and hopping patterns of all users. The overall receiver block diagram for the hybrid DS/FH system is illustrated in Fig. 1. The received signal is first dehopped, and users occupying the same frequency slot go through (partial) successive interference cancellations. If we let be the number of occupied frequency slots, then successive groups interference cancellations are performed in all be the signal after dehopping and simultaneously. We let lowpass filtering and the number of hit users in the frequency . Then the correlator outputs slot of the desired user be are compared, and the strongest correlator output goes through a hard decision to get the data estimation, after regeneration [2]. The remaining and is cancelled from signals are cancelled in order of decreasing magnitudes of cancellations are completed. The correlator outputs until data estimations for uncancelled users are made based on the correlator outputs after the th cancellation. We assume no knowledge of the users’ powers. We use the outputs of correlation receiver to rank the users instead of separate channel estimates. III. PERFORMANCE ANALYSIS In this section, we derive the BER of partial SIC , system assuming that power control is perfect ( ) and users are cancelled in order of , . The received signal strengths actual algorithm, using correlator outputs to rank users, may have this order changed. However, we will see that comparisons with simulation show good accuracy. The effect of imperfect power control ( being random variable) will be analyzed by computer simulation. be the ordered set of , so that We let . for the th strongest user The decision variable ) is given by [2] ( (2) where and is the data bit, or , of the th strongest user, (3) where , and In (3), the first term is the MAI caused by the uncancelled users, the second term is due to the Gaussian noise, and the third term is the cumulative noise due to imperfect cancellations. is a Gaussian random variable with We assume that mean zero [1], [2]. For the case of perfect power control, since and , of , normalized by , is given by the variance (4) 1712 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 49, NO. 10, OCTOBER 2001 where is the information bit energy. The probability of , given , is given by density function (pdf) [2] (5) and , , are the where pdf and cumulative distribution function (cdf) of the unordered , respectively. It folRayleigh distributed random variable lows from (5) that (6) Therefore, the error probability , is given by user, given for the th strongest Fig. 2. [dB]. P versus E =N [dB], K = 20, N = 10, qN = 100, = 0 (7) The detailed derivations of (6) and (7) are given in [9]. Then, , is the conditional average BER, given (8) It follows from (4) and (6)–(8) that the average BER is given by [1] averaging over after (9) where asynchronous frequency hopping synchronous frequency hopping is the number of bits per is the probability of a full hit, and obtained hop. Fig. 2 is a plot of average BER’s versus by simulation and analysis. We can see that comparisons with simulation show good accuracy. Similar observations have been made in [2]. IV. NUMERICAL RESULTS AND DISCUSSIONS Fig. 3 is a plot of the average BER , versus the number deof cancellations for several values of . As expected, creases as increases, but then gets saturated beyond a certain value of . The saturation is attained faster with a larger because of the reduced average number of interfering users in each frequency slot. Once all interfering users are cancelled, a further increase of does not essentially decrease BER. The lowest is attained with (corresponding to the largest ) and P versus J , E =N = 25 [dB], K = 20, N = 10, qN = 100, = 0 [dB]. Fig. 3. (full interference cancellation). But, it can almost be when we use , thereby alleviating achieved with the high correlation speed requirement and reducing the delay incurred in cancelling interferences. versus for several values of . We Fig. 4 is a plot of the find that there exists an optimal number of frequency slots that , minimizes the BER for a given . For example, where , is 10. When no the optimal number of frequency slots, , FH interference cancellation is performed provides a slightly lower BER than does DS . , that minimizes the Fig. 5 is a plot of the optimum , versus . We find that as decreases, inaverage BER creases. This indicates that avoiding interference by increasing IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 49, NO. 10, OCTOBER 2001 P versus q , E =N = 25 [dB], K = 20, N = 10, qN = 100, = 0 [dB]. Fig. 4. 1713 Fig. 6. 100. P versus [dB], E =N = 25 [dB], K = 20, N = 10, qN = V. CONCLUSION Fig. 5. q versus J , K = 20, N = 10, qN = 100, = 0 [dB]. is better than increasing the spreading gain when the number of interference cancellations is limited. The effect of imperfect power control is illustrated in Fig. 6, . where BER is plotted against [dB] for several pairs of We find that when the interference cancellation is not employed , the FH is more robust to power control er. We also find that the lowest BER rors than the DS attained by DS with full interference cancellation, case, can almost be achieved by a hybrid DS/FH system case, for all . Parwith partial cancellation, dB (practical range of interests), the ticularly, for average BER is almost insensitive to power control errors for both systems. We considered a partial successive interference cancellation in hybrid DS/FH SSMA systems. We derived the average BER as a function of the number of interference cancellations in a frequency-nonselective Rayleigh fading channel. We found that the lowest BER attained by employing full interference cancellation in DS/SSMA systems can almost be achieved by employing a partial interference cancellation in hybrid DS/FH systems. The reduction in the number of cancellations translates into an alleviation of correlation speed requirements along with a further reduction of delays incurred in interference cancellations. We also found that the optimum number of frequency slots that minimizes the average BER increases as the number of interference cancellations decreases. This indicates that avoiding interference by increasing the number of frequency slots is better than increasing the spreading gain when the number of interference cancellations is limited. When no interference cancellations are performed, we found that a ) than DS slightly lower BER can be provided with FH ( ). 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