Asynchronous CDMA Systems With Random Spreading—Part I: Fundamental Limits

Spectral efficiency for asynchronous code division multiple access (CDMA) with random spreading is calculated in the large system limit allowing for arbitrary chip waveforms and frequency-flat fading. Signal-to-interference and noise ratios (SINRs) for suboptimal receivers, such as the linear minimum mean square error (MMSE) detectors, are derived. The approach is general and optionally allows even for statistics obtained by undersampling the received signal. All performance measures are given as a function of the chip waveform and the delay distribution of the users in the large system limit. It turns out that synchronizing users on a chip level impairs performance for all chip waveforms with bandwidth greater than the Nyquist bandwidth, e.g., positive roll-off factors. For example, with the pulse shaping demanded in the UMTS standard, user synchronization reduces spectral efficiency up to 12% at 10 dB normalized signal-to-noise ratio. The benefits of asynchronism stem from the finding that the excess bandwidth of chip waveforms actually spans additional dimensions in signal space, if and only if the users are desynchronized at chip-level. The analysis of linear MMSE detectors shows that the limiting interference effects can be decoupled both in the user domain and in the frequency domain such that the concept of effective interference spectral density arises. This generalizes and refines Tse and Hanly's concept of effective interference. In Part II, the analysis is extended to any linear detector that admits a representation as multistage detector and guidelines for the design of low complexity multistage detectors with universal weights are provided.

[1]  Steven Kay,et al.  Fundamentals Of Statistical Signal Processing , 2001 .

[2]  Robert M. Gray,et al.  On the asymptotic eigenvalue distribution of Toeplitz matrices , 1972, IEEE Trans. Inf. Theory.

[3]  Venugopal V. Veeravalli,et al.  MMSE detection in asynchronous CDMA systems: an equivalence result , 2002, IEEE Trans. Inf. Theory.

[4]  Upamanyu Madhow,et al.  MMSE interference suppression for direct-sequence spread-spectrum CDMA , 1994, IEEE Trans. Commun..

[5]  Chien-Hwa Hwang Eigenvalue Distribution of Correlation Matrix in Asynchronous CDMA with Infinite Observation Window Width , 2007, 2007 IEEE International Symposium on Information Theory.

[6]  Shlomo Shamai,et al.  Spectral Efficiency of CDMA with Random Spreading , 1999, IEEE Trans. Inf. Theory.

[7]  Ralf R. Müller,et al.  Efficient Implementation of Multiuser Detectors for Asynchronous CDMA ∗ , 2004 .

[8]  J. W. Silverstein,et al.  No eigenvalues outside the support of the limiting spectral distribution of large-dimensional sample covariance matrices , 1998 .

[9]  Shlomo Shamai,et al.  The impact of frequency-flat fading on the spectral efficiency of CDMA , 2001, IEEE Trans. Inf. Theory.

[10]  Shlomo Shamai,et al.  Mutual information and minimum mean-square error in Gaussian channels , 2004, IEEE Transactions on Information Theory.

[11]  David Tse,et al.  Linear Multiuser Receivers: Effective Interference, Effective Bandwidth and User Capacity , 1999, IEEE Trans. Inf. Theory.

[12]  Sergio Verdú,et al.  Randomly spread CDMA: asymptotics via statistical physics , 2005, IEEE Transactions on Information Theory.

[13]  Lyal B. Harris November , 1890, The Hospital.

[14]  Venugopal V. Veeravalli,et al.  On chip-matched filtering and discrete sufficient statistics for asynchronous band-limited CDMA systems , 2001, IEEE Trans. Commun..

[15]  Anthony Ephremides,et al.  Optimal sequences and sum capacity of symbol asynchronous CDMA systems , 2005, IEEE Transactions on Information Theory.

[16]  Antonia Maria Tulino,et al.  Design of reduced-rank MMSE multiuser detectors using random matrix methods , 2004, IEEE Transactions on Information Theory.

[17]  Wayne E. Stark,et al.  DS-CDMA chip waveform design for minimal interference under bandwidth, phase, and envelope constraints , 1999, IEEE Trans. Commun..

[18]  W. E. Stark,et al.  DS-CDMA chip waveform design for optimal power-bandwidth performance , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

[19]  Snezana Lawrence October , 1855, The Hospital.

[20]  David Tse,et al.  Resource pooling and effective bandwidths in CDMA networks with multiuser receivers and spatial diversity , 2001, IEEE Trans. Inf. Theory.

[21]  Ralf R. Müller,et al.  Spectral efficiency of CDMA systems with linear MMSE interference suppression , 1999, IEEE Trans. Commun..

[22]  Sergio Verdú,et al.  Minimum probability of error for asynchronous Gaussian multiple-access channels , 1986, IEEE Trans. Inf. Theory.

[23]  Sergio Verdu,et al.  Multiuser Detection , 1998 .

[24]  Cong Ling,et al.  Performance evaluation for band-limited DS-CDMA systems based on simplified improved Gaussian approximation , 2003, IEEE Trans. Commun..

[25]  Sergio Verdú,et al.  Near-far resistance of multiuser detectors in asynchronous channels , 1990, IEEE Trans. Commun..

[26]  M. Pursley,et al.  Performance Evaluation for Phase-Coded Spread-Spectrum Multiple-Access Communication - Part I: System Analysis , 1977, IEEE Transactions on Communications.

[27]  Toshiyuki Tanaka,et al.  A statistical-mechanics approach to large-system analysis of CDMA multiuser detectors , 2002, IEEE Trans. Inf. Theory.

[28]  Robert M. Gray,et al.  Toeplitz and Circulant Matrices: A Review , 2005, Found. Trends Commun. Inf. Theory.

[29]  Ralf R. Müller Multiuser receivers for randomly spread signals: Fundamental limits with and without decision-feedback , 2001, IEEE Trans. Inf. Theory.

[30]  Upamanyu Madhow,et al.  On the average near-far resistance for MMSE detection of direct sequence CDMA signals with random spreading , 1999, IEEE Trans. Inf. Theory.

[31]  Ralf R. Müller,et al.  CDMA Systems With Correlated Spatial Diversity: A Generalized Resource Pooling Result , 2007, IEEE Transactions on Information Theory.

[32]  James L. Massey,et al.  Optimum sequence multisets for synchronous code-division multiple-access channels , 1994, IEEE Trans. Inf. Theory.

[33]  Venkat Anantharam,et al.  Optimal sequences and sum capacity of synchronous CDMA systems , 1999, IEEE Trans. Inf. Theory.

[34]  Joon Ho Cho,et al.  An asymptotic analysis of band-limited DS/SSMA communication systems , 2006, IEEE Transactions on Information Theory.

[35]  V. Girko,et al.  Theory of stochastic canonical equations , 2001 .

[36]  Paul D. Alexander,et al.  Random Sequence Multisets for Synchronous Code-Division Multiple-Access Channels , 1998, IEEE Trans. Inf. Theory.

[37]  Ralf R. Müller,et al.  A systematic approach to multistage detectors in multipath fading channels , 2005, IEEE Transactions on Information Theory.

[38]  Ralf R. Müller,et al.  On the capacity loss due to separation of detection and decoding , 2004, IEEE Transactions on Information Theory.

[39]  S. Kay Fundamentals of statistical signal processing: estimation theory , 1993 .

[40]  Ralf R. Müller,et al.  Asymptotic design and analysis of linear detectors for CDMA systems , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[41]  David Tse,et al.  Optimal sequences, power control, and user capacity of synchronous CDMA systems with linear MMSE multiuser receivers , 1999, IEEE Trans. Inf. Theory.

[42]  James L. Massey,et al.  User-separating demodulation for code-division multiple-access systems , 1994, IEEE J. Sel. Areas Commun..

[43]  David Tse,et al.  Effective interference and effective bandwidth of linear multiuser receivers in asynchronous CDMA systems , 2000, IEEE Trans. Inf. Theory.

[44]  Jamie S. Evans,et al.  Large system performance of linear multiuser receivers in multipath fading channels , 2000, IEEE Trans. Inf. Theory.