Asymptotic spectral efficiency of multiuser multisignature CDMA in frequency-selective channels

Peacock, M.J.M.; Collings, Iain B.; Honig, Michael L.

doi:10.1109/tit.2005.864427

Cited by 29 publications

(20 citation statements)

References 29 publications

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“…As a result, the per-cell capacity is given by (17) which coincides with the case of uncorrelated multiple antennas. Therefore, we can conclude for large values of K (K n UT ) transmit correlation has no effect on the system's performance.…”

Section: ) Ut-side Correlationmentioning

confidence: 79%

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The Multicell Processing Capacity of the Cellular MIMO Uplink Channel under Correlated Fading

Chatzinotas

Imran

Hoshyar

2009

2009 IEEE International Conference on Communications

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Abstract-In the information-theoretic literature, it has been widely shown that multicell processing is able to provide high capacity gains in the context of cellular systems and that the per-cell sum-rate capacity of multicell processing systems grows linearly with the number of Base Station (BS) receive antennas. However, the majority of results in this area has been produced assuming that the fading coefficients of the MIMO subchannels are totally uncorrelated. In this direction, this paper investigates the ergodic per-cell sum-rate capacity of the MIMO Cellular Multiple-Access Channel under correlated fading and multicell processing. More specifically, the current channel model considers Rayleigh fading, uniformly distributed User Terminals (UTs) over a planar cellular system and power-law path loss. Furthermore, both BSs and Uts are equipped with correlated multiple antennas, which are modelled according to the Kronecker model. The per-cell sum-rate capacity closed form is derived using a Free Probability approach and numerical results are produced by varying the cell density of the system, as well as the level of correlation.

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Section: ) Ut-side Correlationmentioning

confidence: 79%

“…Similar approximations have already been investigated in an information-theoretic context providing useful analytical insights and accurate numerical results [17], [18]. In this context, the R-transform of each unit rank matrix [5, Example 2.28] is given by…”

Section: N Hmentioning

confidence: 94%

The Multicell Processing Capacity of the Cellular MIMO Uplink Channel under Correlated Fading

Chatzinotas

Imran

Hoshyar

2009

2009 IEEE International Conference on Communications

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“…Similar approximations have been already investigated in an information-theoretic context, providing useful analytical insights and accurate numerical results [40], [41]. In this context, the R-transform of each unit rank matrix [18, Example 2.28] is given by…”

Section: ) Uncorrelated Cellular Channelmentioning

confidence: 89%

On the multicell processing capacity of the cellular MIMO uplink channel in correlated rayleigh fading environment

Chatzinotas

Imran

Hoshyar

2009

IEEE Trans. Wireless Commun.

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In the context of cellular systems, it has been shown that multicell processing can eliminate inter-cell interference and provide high spectral efficiencies with respect to traditional interference-limited implementations. Moreover, it has been proved that the multiplexing sum-rate capacity gain of multicell processing systems is proportional to the number of Base Station (BS) antennas. These results have been also established for cellular systems, where BSs and User Terminals (UTs) are equipped with multiple antennas. Nevertheless, a common simplifying assumption in the literature is the uncorrelated nature of the Rayleigh fading coefficients within the BS-UT MIMO links. In this direction, this paper investigates the ergodic multicell-processing sum-rate capacity of the Gaussian MIMO Cellular Multiple-Access Channel in a correlated fading environment. More specifically, the multiple antennas of both BSs and UTs are assumed to be correlated according to the Kronecker product model. Furthermore, the current system model considers Rayleigh fading, uniformly distributed User Terminals (UTs) over a planar coverage area and powerlaw path loss. Based on free probabilistic arguments, the empirical eigenvalue distribution of the channel covariance matrix is derived and it is used to calculate both Optimal Joint Decoding and Minimum Mean Square Error (MMSE) Filtering capacity. In addition, numerical results are presented, where the per-cell sum-rate capacity is evaluated while varying the cell density of the system, as well as the level of fading correlation. In this context, it is shown that the capacity performance is greatly compromised by BS-side correlation, whereas UT-side correlation has a negligible effect on the system's performance. Furthermore, MMSE performance is shown to be greatly suboptimal but more resilient to fading correlation in comparison to optimal decoding.

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“…Similar approximations have been already investigated in an informationtheoretic context, providing useful analytical insights and accurate numerical results [11], [12]. In this context, the Rtransform of each unit rank matrix [5, Example 2.28] is given by…”

Section: N Hhmentioning

confidence: 92%

On the Capacity of Variable Density Cellular Systems under Multicell Decoding

2008

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Abstract-The majority of multicell-decoding cellular models preserve a fundamental assumption which has initially appeared in Wyner's model, namely the collocation of User Terminals (UTs). Although this assumption produces more tractable mathematical models, it is unrealistic w.r.t. current practical cellular systems. In this paper, we alleviate this assumption by assuming uniformly distributed UTs. The model under investigation is the uplink channel of a planar cellular array in the presence of power-law path loss and flat fading. In this context, we employ a free probability approach to evaluate the effect of UT distribution on the optimal sum-rate capacity of a variable-density cellular system.

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Asymptotic spectral efficiency of multiuser multisignature CDMA in frequency-selective channels

Cited by 29 publications

References 29 publications

The Multicell Processing Capacity of the Cellular MIMO Uplink Channel under Correlated Fading

The Multicell Processing Capacity of the Cellular MIMO Uplink Channel under Correlated Fading

On the multicell processing capacity of the cellular MIMO uplink channel in correlated rayleigh fading environment

On the Capacity of Variable Density Cellular Systems under Multicell Decoding

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