W-CDMA coverage and capacity analysis for active and passive distributed antenna systems

Schuh, R.E.; Sommer, M.

doi:10.1109/vtc.2002.1002752

Cited by 16 publications

(10 citation statements)

References 4 publications

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“…The fading channel coefficient h m is modeled as [14] h m = ξ m S mhm (6) whereh m is a zero-mean complex Gaussian random variable with unit variance that models the Rayleigh fading, ξ m represents the shadow fading between the mth transmit antenna and the MS, and S m denotes the path loss from the mth transmit antenna to the MS. We model ξ m as a log-normal random variable, meaning that 10 log 10 (ξ m ) is assumed to be normally distributed with zero mean and standard deviation σ s,m .…”

Section: B Channel Modelmentioning

confidence: 99%

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On the Design of Antenna Location for OSTBC with Distributed Transmit Antennas in a Circular Cell

Han

Tang

Shao

et al. 2010

2010 IEEE International Conference on Communications

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This paper focus on how to design the location of transmit antennas for Multiple-Input Multiple-Output (MIMO) space-time coding architecture with distributed transmit antennas. Considering the effects of path loss, correlated shadowing, multipath fading and white Gaussian noise, we first derive the approximate area averaged symbol error rate (AASER) in a circular cell at high signal-to-noise ratio (SNR) with M -PSK for orthogonal space-time block coded (OSTBC) systems with distributed transmit antennas. Then, we obtain the transmit antenna location by minimizing approximate AASER. Theoretical and numerical results show that the transmit antenna location depends on the cross-correlation coefficient and the standard deviation of shadow fading, and that the transmit antennas should be symmetrical with respect to the cell center.

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Section: B Channel Modelmentioning

confidence: 99%

“…Compared with colocated MIMO, MIMO technique based on distributed antenna systems (DAS) has many advantages: more independent channel fading, larger system capacity [5], shorter access distance, lower transmission power [6], and enhanced coverage [7].…”

Section: Introductionmentioning

confidence: 99%

On the Design of Antenna Location for OSTBC with Distributed Transmit Antennas in a Circular Cell

Han

Tang

Shao

et al. 2010

2010 IEEE International Conference on Communications

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“…However, most of the recent work on DAS has been focused on analyzing its performance in the uplink because of its analytical simplicity [4]- [8]. On the other hand, there are few studies on the downlink performance of DAS although the demand for high speed data will be dominant in the downlink.…”

mentioning

confidence: 99%

Downlink performance and capacity of distributed antenna systems in a multicell environment

Choi

Andrews

2007

IEEE Trans. Wireless Commun.

568

429

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Abstract-Distributed antenna systems (DAS) have been widely implemented in state-of-the art cellular communication systems to cover dead spots. Recent academic studies have shown that in addition to coverage improvements, DAS can also have potential advantages such as reduced power and increased system capacity in a single cell environment. This paper analytically quantifies downlink capacity of multicell DAS for two different transmission strategies: selection diversity (where just one or two of the distributed antennas are used) and blanket transmission (where all antennas in the cell broadcast data). Simple repeaters are a special case of our analysis. A generalized information theoretic analysis is provided to illuminate the fundamental limits of such systems in the cellular context. The results show that DAS reduces other-cell interference in a multicell environment and hence significantly improves capacity (by about 2x), with particularly large improvements for users near cell boundaries. Less obviously, from a communication theory standpoint, it is shown that selection diversity is preferable to blanket transmission in terms of achievable ergodic capacity. For blanket transmission, we show that the optimal transmission strategy is just phase steering due to the per antenna module power constraints in DAS.

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“…The DBS approach allows avoiding excessive handovers in the first case and significant fading in the latter. The coverage and capacity of DBSs in an indoor WCDMA system were investigated in Reference [5] for several types of antennas. In a multi-cell CDMA system with DBSs, it was shown that maximum ratio combining (MRC) in the uplink achieves a considerable capacity and coverage enhancement, but simultaneous transmission in the downlink reduces performance since it increases the intercell interference [6].…”

Section: Introductionmentioning

confidence: 99%

Uplink scheduling in LTE systems using distributed base stations

Yaacoub

Dawy

2010

Trans Emerging Tel Tech

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SUMMARYUplink scheduling in Long-Term Evolution (LTE) systems with distributed base stations (DBSs) is considered. In the proposed model, users are connected to remote radio heads (RRHs) deployed throughout the cell and connected to a central base station. Centralised and distributed scheduling with a DBS are compared to centralised scheduling with a central base station. Monte Carlo simulation results show that LTE systems with DBSs achieve better throughput than systems with conventional base stations while allowing edge users better chances of accessing the resources.

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W-CDMA coverage and capacity analysis for active and passive distributed antenna systems

Cited by 16 publications

References 4 publications

On the Design of Antenna Location for OSTBC with Distributed Transmit Antennas in a Circular Cell

On the Design of Antenna Location for OSTBC with Distributed Transmit Antennas in a Circular Cell

Downlink performance and capacity of distributed antenna systems in a multicell environment

Uplink scheduling in LTE systems using distributed base stations

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