Frequency reuse scheme for cellular OFDM systems

Hanzo, Lajos; Stirling-Gallacher, Richard A.

doi:10.1049/el:20020255

Cited by 55 publications

(20 citation statements)

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“…is a random vector whose covariance is 1 It is frame interval in mobile WiMax system. ) given by [15].…”

Section: Performance Evaluationmentioning

confidence: 99%

“…However, when the frequency resource is universally reused, the uplink capacity can severely be degraded by interference from users in the adjacent cells, so-called other-cell interference (OCI) [1]- [3]. Since the received signal power transmitted near the cell boundary is much weaker than that near the cell center, the OCI can adversely affect the uplink signal transmitted near the cell boundary.…”

Section: Introductionmentioning

confidence: 99%

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Correlation-Based Cooperative User Scheduling in the Uplink of Cellular Systems

Lee

2008

2008 the Third International Conference on Digital Telecommunications (Icdt 2008)

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Abstract-In this paper, we consider multi-user scheduling to avoid other cell interference (OCI) in the uplink of cellular systems. The base station (BS) determines a user group that can minimize the interference from other cells by exploiting the spatial correlation matrix of users from adjacent BSs. The proposed scheme is applicable to multi-input multi-output (MIMO) as well as single-input multi-output (SIMO) environments by applying an eigen-beamforming technique, enabling the use of flexible antenna structures at the transmitter. Simulation results show that the proposed multi-cell scheduling significantly increase the ergodic capacity by avoiding the OCI compared to conventional scheduling schemes, particularly in high mobility and highly correlated channel environments.

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“…is a random vector whose covariance is 1 It is frame interval in mobile WiMax system. ) given by [15].…”

Section: Performance Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Correlation-Based Cooperative User Scheduling in the Uplink of Cellular Systems

Lee

2008

2008 the Third International Conference on Digital Telecommunications (Icdt 2008)

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“…Near the cell boundaries the channel estimation performance may deteriorate, which effectively reduces the achievable throughput. One way to mitigate this problem is to use a pilot reuse factor being larger than the frequency reuse factor for the data symbols, r p > r d , as suggested in Reference [9]. However, for interference free reception of the pilots, such a system requires full synchronization within all BSs of the cellular systems, which may be difficult to realize in practice.…”

Section: System Scenariosmentioning

confidence: 99%

“…Unlike data symbols which can be protected by means of spreading and/or channel coding, pilots cannot be protected in such a way. One way to mitigate this problem is to use a pilot reuse factor being larger than the frequency reuse factor for the data symbols [9]. Such a system, however, requires full synchronization between all BSs of the cellular system, which may be difficult to realize in practice.…”

Section: Introductionmentioning

confidence: 99%

Analysis of cellular interference for MC‐CDMA and its impact on channel estimation

Auer

Sand

Dammann

et al. 2004

Trans Emerging Tel Tech

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SUMMARYWe address the downlink of a cellular multi-carrier CDMA (MC-CDMA) system taking into account channel estimation. The system performance in presence of a synchronization mismatch between two interfering base stations (BS) is analyzed in the way that a mobile terminal receives the perfectly synchronized signal from the desired BS as well as the signal from one interfering BS with a synchronization offset. It is demonstrated through simulations that spreading and cell specific random subcarrier interleaving effectively decorrelates the interfering signal, independent of the synchronization offset. Furthermore, the robustness of the channel estimator to cellular interference is examined.

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“…Dynamic channel allocation (DCA) schemes have been proposed to mitigate the effect of intercell interferences and expand the accommodation capacity in the multicell environments. These schemes can be categorized into Centralized DCA [15] and Distributed DCA [16][17]. In Centralized DCA the central system manages the information on free channels and selects proper channels for new services.…”

Section: Introductionmentioning

confidence: 99%