Information theoretic capacity of cellular multiple access channel with shadow fading

Kaltakis, D.; Imran, Muhammad Ali; Tzaras, C.

doi:10.1109/tcomm.2010.05.070591

Cited by 16 publications

(15 citation statements)

References 16 publications

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“…This MJP scenario has appeared in the literature under various research topics, such as BS cooperation, Network MIMO and Distributed Antenna Systems (DAS). Its sum-rate capacity has been studied for optimal and MMSE receivers [2], as well as for various channel impairments, such as path loss [3], shadowing [4], Rayleigh/Rice fading [5], [6] and antenna correlation [2], [7]. In this paper, we consider both optimal and MMSE receivers for an MJP model incorporating spatially distributed users, path loss, Ricean fading, shadowing and multiple antennas.…”

Section: A Coordinated Multipointmentioning

confidence: 99%

Coordinated MultiPoint uplink capacity over a MIMO composite fading channel

Chatzinotas

Ottersten

2012

2012 International Conference on Computing, Networking and Communications (ICNC)

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Abstract-Coordinated Multipoint comprises a set of communication strategies for cellular systems which are based on cooperation/coordination between Base Stations (BSs). These strategies have been recently included in LTE standardization in order to meet the spectral efficiency requirements. In this paper, the focus is on the uplink capacity of a cellular system over a composite fading channel, which combines Ricean fading and shadowing. In order to realistically model the cellular system, path loss and distributed users are also considered. Finally, the channel model incorporates multiple antennas, as dictated by the latest wireless standards. Based on random matrix and free probability theory, closed-form expressions are derived for the channel capacity and the MMSE achievable rate. In this context, strong Line-of-Sight component is shown to degrade capacity performance, while large shadowing statistics benefit it.

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Section: A Coordinated Multipointmentioning

confidence: 99%

Coordinated MultiPoint uplink capacity over a MIMO composite fading channel

Chatzinotas

Ottersten

2012

2012 International Conference on Computing, Networking and Communications (ICNC)

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“…This MJP scenario has appeared in the literature under various research topics, such as BS cooperation, Network MIMO and Distributed Antenna Systems (DAS). Its sum-rate capacity has been studied for optimal and MMSE receivers [4], as well as for various channel impairments, such as path loss [5], shadowing [6], fading [7] and antenna correlation [4]. In this paper, we consider both optimal and MMSE receivers for an MJD model incorporating spatially distributed users, path loss, Rayleigh fading and dual polarized antennas.…”

Section: Preliminaries and Related Workmentioning

confidence: 99%

Coordinated multi-point decoding with dual-polarized antennas

Chatzinotas

Christopoulos

Ottersten

2011

2011 7th International Wireless Communications and Mobile Computing Conference

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Abstract-Coordinated multi-point processing has shown great potential for cellular networks, while multiple antenna systems (MIMO) is the key to next generation wireless communications. Full exploitation of MIMO technology, however, demands high antenna separation at the transceivers. This paper investigates the use of dual polarized antennas as a mean to overcome hardware size limitations. Uplink ergodic sum-rate capacity of a multicell joint processing (MJP) system employing dual polarized antennas is evaluated through theoretical analysis. Results are supported by numerical simulations. The designed system incorporates uniformly distributed users, path loss and Rayleigh fading, thus extending the well known Wyner model. Optimal and MMSE receiver architectures are compared in terms of capacity and complexity. System capacity is calculated with respect to cell size or cross polar discrimination (XPD). The results support the use of dual-polar decoding for low XPD, dense cellular systems while per polarization processing is acceptable in high XPD, sparse systems.

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“…Later, in [20] Wyner model has been modified by employing multiple transmitting and receiving antennas at both ends of the communication link in the cellular network where each BS is also composed of multiple antennas. Recently, new results have been published by further modifying the Wyner model with shadowing [21].…”

Section: A Background and Related Studymentioning

confidence: 99%

“…Recently, Wyner model has been investigated to account for randomly distributed users, i.e., non-collocated users [21][22][23][24]. In [22], an instant signal-interference-ratio (SIR) and averaged throughout for randomly distributed users have been derived by employing TDMA and code division multiple access (CDMA) schemes.…”

Section: A Background and Related Studymentioning

confidence: 99%

“…As a consequence, another effort has been made to derive an analytical capacity expression based on random matrix theory [21,23]. Despite the fact that the variable-user density is used in this article, the analysis is only valid under the asymptotic assumptions of large number of MTs K, i.e., K ∞ and infinite configuration of number of cooperating BSs N, i.e., N ∞ such that K N → c ∈ (0, 1) [17,21,23,24]. On the contrary, the main contribution of our article is to offer non-asymptotic approach to derive information theoretic bound on Wyner GCMAC model where finite number of BSs arranged in a circle are cooperating to jointly decode the user's data.…”

Section: A Background and Related Studymentioning

confidence: 99%

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Hadamard upper bound on optimum joint decoding capacity of Wyner Gaussian cellular MAC

Shakir

Durrani

Alouini

2011

J Wireless Com Network

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This article presents an original analytical expression for an upper bound on the optimum joint decoding capacity of Wyner circular Gaussian cellular multiple access channel (C-GCMAC) for uniformly distributed mobile terminals (MTs). This upper bound is referred to as Hadamard upper bound (HUB) and is a novel application of the Hadamard inequality established by exploiting the Hadamard operation between the channel fading matrix G and the channel path gain matrix Ω. This article demonstrates that the actual capacity converges to the theoretical upper bound under the constraints like low signal-to-noise ratios and limiting channel path gain among the MTs and the respective base station of interest. In order to determine the usefulness of the HUB, the behavior of the theoretical upper bound is critically observed specially when the inter-cell and the intra-cell time sharing schemes are employed. In this context, we derive an analytical form of HUB by employing an approximation approach based on the estimation of probability density function of trace of Hadamard product of two matrices, i.e., G and Ω. A closed form of expression has been derived to capture the effect of the MT distribution on the optimum joint decoding capacity of C-GCMAC. This article demonstrates that the analytical HUB based on the proposed approximation approach converges to the theoretical upper bound results in the medium to high signal to noise ratio regime and shows a reasonably tighter bound on optimum joint decoding capacity of Wyner GCMAC.

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Information theoretic capacity of cellular multiple access channel with shadow fading

Cited by 16 publications

References 16 publications

Coordinated MultiPoint uplink capacity over a MIMO composite fading channel

Coordinated MultiPoint uplink capacity over a MIMO composite fading channel

Coordinated multi-point decoding with dual-polarized antennas

Hadamard upper bound on optimum joint decoding capacity of Wyner Gaussian cellular MAC

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