D. Tse and S. Hanly, "Linear multiuser receivers: E#ective interference, e#ective bandwidth and user capacity," IEEE Trans. Information Theory, vol. 45, no. 2, pp. 641--657, Mar 1999.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....a suboptimal detector (the optimal detector is error free) occur for a certain proportion of these choices. Such an approach may be useful in future analysis of nonlinear detectors for large oversaturated systems, complementing existing work on analysis with random spreading for linear detectors [12, 7]. We have also explored the e ect of initial conditions on PASIC performance: as with SIC, the performance can be greatly improved by replacing the matched lter initial condition with decisions from an interference suppressing receiver such as the LMMSE receiver. We have shown, however, that it ....

D. N. C. Tse, S. V. Hanly, \Linear multiuser receivers: eective interference, eective bandwidth and user capacity." IEEE Transactions on Information Theory, vol. 45, no. 2, pp.641-57, March 1999.

....By preventing simultaneous transmissions from two di#erent users, collisions between the signals transmitted by di#erent users are avoided and hence the required rate from each user is achieved. One type of CDMA systems are long code CDMA systems, also known as random CDMA (RCDMA) systems [9], 11] In RCDMA systems each user uses a random spreading sequence for expanding the bandwidth of the transmitted signal. Several MA communication systems are 4 based on long code CDMA, with the IS 95 mobile phone system being the most famous one [6] As mentioned previously, IR systems have been ....

D. Tse and S. Hanly. Linear Multiuser Receivers: E#ective Interference, E#ective Bandwidth and User Capacity. IEEE Trans. on Inform. Theory, IT-45(2):641--657, March 1999.

....simultaneous transmissions from two di#erent users, collisions between the signals transmitted by di#erent users are avoided and hence the required rate from each user is achieved. One type of CDMA systems are long code CDMA systems, also known as random Direct Sequence CDMA (RCDMA) systems [8, 10]. In RCDMA systems each user uses a random spreading sequence for expanding the bandwidth of the transmitted signal. As mentioned previously, IR systems have been suggested as a new approach to implementing MA communication systems. IR systems transmit a series of very short pulses, typically on ....

D. Tse and S. Hanly. Linear Multiuser Receivers: E#ective Interference, E#ective Bandwidth and User Capacity. IEEE Transaction on Information Theory, IT-45(2):641--657, March 1999.

....fixed ratio # between the number of users # and the length of the spreading sequence L (# = # L) is called load. We consider the case of #, L 1. Then the signal to noise ratio at the output of the MMSE detector can be given analytically in dependence of the nose variance # n and the load # [15]: SNRMMSE = 4 (1 #) 4# . 10) Now we compare two cases using the codes analyzed in section IV. Either we could use the well known high rate original turbo code [2] or maintaining the same bandwidth expansion factor utilize the much more power e#cient low rate code while ....

D. Tse, S. Hanly, "Linear multiuser receivers: E#ective interference, e#ective bandwidth and user capacity ". IEEE Transactions on Information Theory, vol. 45, no. 2, pp. 641--657, 1999.

....at least two reasons. Firstly, closed form solutions for the signal to interference and noise ratio (SINR) of various multiuser detectors have been derived assuming random spreading sequences of length N while keeping the system load # = i.e. the number of physical users K per chip, fixed [1, 2, 3]. Secondly, the demand of detectors able to e#ciently mitigate crosstalk for large scale systems has led to the analysis of reduced rank detectors, especially multistage detectors [4, 5, 6, 7] As shown in [5, 6] for this class of detectors, a low number of stages is su#cient for near LMMSE ....

....(9) # and # in (9) are defined by # = i j and # = l respectively. #r,s 0 g r [s] in (9) satisfies the recursive equation g r [s] g r 1 [s] g r [s 1] 10) with initializing values g 1 [0] 1, g r [0] 0, g 1 [s] 1. 11) Furthermore, by convention, it is stated g t 1 r [ 1]r = 1 and g t 1 r [s]r = 0 for s 1.# The proof of this theorem is in [11] It can be shown [11] that also the following recursive equation holds for R ii,# P ii,# #m l k 1 . 12) In [6] the individually LMMSE detector in #L (SA) is referred to as MultiStage Wiener Filter. ....

D. N. C. Tse and S. V. Hanly, "Linear multiuser receivers: E#ective interference, e#ective bandwidth and user capacity," IEEE Transactions on Information Theory, vol. 45, no. 3, pp. 641--657, March 1999.

....Finally, we would like to mention that a natural application of the above scheme is the iterative detection of so called space time codes. More explicitly, as the signals transmitted from multiple antennas can be regarded as multiuser interference, even though they originate from the same user [23, 24], one possibility to detect the di erent signals is to employ ISDIC. In fact, in a scenario with multiple transmit and receive antennas for transmission of distinct complex channel symbols from each antenna over at fading channels, the above algorithm can be readily applied by replacing the ....

....are given by (56) 57) Now, we can solve for long spreading sequences k F 1 s k k F 1 s k x = 0: 60) For the asymptotic evaluation carried out above we used Lemma A. 1 of [26] see also [27, 23]) yielding for a complex deterministic N N matrix A with uniformly bounded spectral radius for all N , the N 1 vector q with i.i.d. complex random variables with zero mean, variance 1=N , and nite 8th moment as elements, and a similar vector r independent of q Aq trfAg 0 (61) Ar 0 ....

D. Tse and S. Hanly, \Linear multiuser receivers: Eective interference, eective bandwidth and user capacity," IEEE Trans. Inform. Theory, vol. 45, pp. 641-657, Mar. 1999.

....the interferers are controlled or when they are relatively weak (such as from out of cell) The performance of the decorrelator, on the other hand, does not depend on the interferers powers. The SIR performance of the MMSE receiver under power control will be studied. In recent independent works [22, 25], it was shown that in a random environment, the SIR of a user under both the MMSE receiver and the decorrelator converges to a deterministic limit in a large system. The scaling is by letting the processing gain and the number of interferers go to in nity, keeping the number of interferers per ....

....performance of the decorrelator, before proceeding to the MMSE receiver, which requires a more sophisticated analysis. The following result shows that in a system with large processing gain and many users, the random SIR of a user converges to a deterministic limit. It is proved independently in [22] and [25] Theorem 3.1 Let be the (random) SIR of the decorrelating receiver for user 1 when the spreading length is N and the number of users K = b Nc, where 0 is a xed constant. Then converges to in probability as N 1, where P 1 (1 ) 2 1 0 1 In the ....

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Tse, D. and S.V. Hanly, \Linear multiuser receivers: eective interference, eective bandwidth and user capacity", IEEE Trans. on Information Theory, IT-45, No.2, March 1999, pp. 641-657.

....tracking algorithm. In this model, SIR 1 is a random variable, being a function of the random sequences. The following is the key result, showing that in a large system, SIR 1 converges to a deterministic constant. To simplify the notation, we set p 1 = 1 without loss of generality. Theorem 1 [1] Let N, K ## such that #, and assume that the empirical distribution of the users powers converges to a limiting distribution F . Then SIR 1 converges in probability to # # , where # # is the unique solution to the fixed point equation: # # = I(p, # # )dF (p) I(p, x) 1 px ....

....explicitly. It is natural to define I(p, #) as the e#ective interference of an interferer with received power p on a user with a target SIR #. This summarizes succinctly the e#ect of an interferer. It is interesting to contrast this to the corresponding result for the matched filter receiver [1]: the e#ective interference under the matched filter is simply I mf (p) p. Note that under the matched filter, the e#ect of an interferer is proportional to its received power. In contrast, under the MMSE receiver, the e#ect is highly nonlinear in the received power, and ceiling out at . This ....

[Article contains additional citation context not shown here]

D. Tse and S. Hanly, "Linear multiuser receivers: E#ective interference, e#ective bandwidth and capacity," IEEE Trans. Inform. Theory, vol. 45, pp. 641--657, Mar. 1999.

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D. Tse and S. Hanly, "Linear multiuser receivers: E#ective interference, e#ective bandwidth and user capacity," IEEE Trans. Information Theory, vol. 45, no. 2, pp. 641--657, Mar 1999.

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D.N.C Tse and S. Hanly, "Linear multi-user receiver: E#ective interference, e#ective bandwidth and user capacity," IEEE Trans. on Information Theory, pp. 641--657, Mar. 1999.

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D.N.C Tse and S. Hanly, "Linear multi-user receiver: E#ective interference, e#ective bandwidth and user capacity," IEEE Trans. on Information Theory, pp. 641--657, Mar. 1999.

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D. Tse and S. Hanly. Linear Multiuser Receivers: E#ective Interference, E#ective Bandwidth and User Capacity. IEEE Trans. on Inform. Theory, IT-45(2):641--657, March 1999.

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D. Tse and S. Hanly, "Linear multiuser receivers: E#ective interference, e#ective bandwidth and user capacity," IEEE Trans. Information Theory, vol. 45, no. 2, pp. 641--657, Mar 1999.

No context found.

D.N.C Tse and S. Hanly, "Linear Multi-user Receiver: E#ective Interference, E#ective Bandwidth and User Capacity," IEEE Trans. on Information Theory, pp. 641--657, Mar. 1999.

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D. N. C. Tse and S. V. Hanly, "Linear multiuser receivers: E#ective interference, e#ective bandwidth and user capacity," IEEE Transactions on Information Theory, vol. 45, no. 2, pp. 641-687, 1999.

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D.N.C.Tse and S.V.Hanly, " Linear multiuser receivers: E#ective interference, e#ective bandwidth and user capacity," IEEE Trans. Inform. Theory, vol. 45, no. 2, pp. 641--657, March 1999.

No context found.

D.N.C.Tse and S.V.Hanly, "Linear Multiuser Receivers : E#ective Interference, E#ective Bandwidth and User Capacity," IEEE Trans. Information Theory, vol. 45, pp. 641--657, March 1999.

No context found.

D.N.C.Tse and S.V.Hanly, " Linear multiuser receivers: E#ective interference, e#ective bandwidth and user capacity," IEEE Trans. Inform. Theory, vol. 45, no. 2, pp. 641--657, March 1999.

No context found.

D. Tse and S. Hanly, \Linear multiuser receivers: Eective interference, eective bandwidth and user capacity," IEEE Trans. Inform. Theory, vol. 45, no. 2, pp. 641-657, March 1999.

No context found.

David Tse and Stephen Hanly. Linear multiuser receivers: Eective interference, eective bandwidth and user capacity. IEEE Transactions on Information Theory, 45(2):641-657, March 1999.

No context found.

David Tse and Stephen Hanly, \Linear multiuser receivers: Eective interference, eective bandwidth and user capacity," IEEE Transactions on Information Theory, vol. 45, no. 2, pp. 641-657, Mar. 1999.

No context found.

D. Tse and S. Hanly, "Linear multiuser receivers: E#ective interference, e#ective bandwidth and user capacity," IEEE Trans. Inform. Theory, vol. 45, no. 2, pp. 641--657, Mar. 1999.

No context found.

Tse DNC, Hanly SV. Linear multiuser receivers: E#ective interference, e#ective bandwidth and user capacity. IEEE Trans. Inform. Theory 1999; 45(2):641-687.

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D. Tse, S. Hanly. Linear Multiuser Receivers: E#ective Interference, E#ective Bandwidth and User Capacity, IEEE Transactions on Information Theory, 45(2):641-657,

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