On the Value of Coherent and Coordinated Multi-Cell Transmission

Tölli, Antti; Pennanen, Harri; Komulainen, Petri

doi:10.1109/iccw.2009.5208029

Cited by 34 publications

(55 citation statements)

References 10 publications

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“…The optimality properties in Theorem 2 and 3 can be exploited for iterative transmission designs (e.g., [9]- [12]) that can be implemented in a partially distributed manner.…”

Section: Low-complexity Multicell Beamformingmentioning

confidence: 99%

“…Theoretical Rayleigh fading simulations have shown that the total throughput can be improved considerably by coordinating interference between cells and serving cell edge terminals through multiple coherent base stations (see e.g., [2], [12], [14], [16]). However, results obtained from simulations are highly dependent on the assumptions of the underlying wireless communication channel.…”

Section: Measurement-based Performance Evaluationmentioning

confidence: 99%

“…An alternative is dynamic cooperation clusters where each base station shares the responsibility for a few terminals with adjacent base stations. An efficient suboptimal algorithm for iterative weighted sum rate optimization was proposed in [11] and extended for other utility functions in [12], while the impact of imperfect channel information and backhaul constraints was considered in [13].…”

Section: Introductionmentioning

confidence: 99%

“…• Based on duality, we propose distributed low-complexity strategies suitable for systems with many subcarriers (where the overhead and computational power required for the iterative solutions of [9]- [12] are unavailable).…”

Section: Introductionmentioning

confidence: 99%

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Optimality Properties and Low-Complexity Solutions to Coordinated Multicell Transmission

Björnson

Bengtsson

Ottersten

2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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Abstract-Base station cooperation can theoretically improve the throughput of multicell systems by coordinating interference and serving cell edge terminals through multiple base stations. In practice, the extent of cooperation is limited by the increase in backhaul signaling and computational demands. To address these concerns, we propose a novel distributed cooperation structure where each base station has responsibility for the interference towards a set of terminals, while only serving a subset of them with data. Weighted sum rate maximization is considered, and conditions for beamforming optimality and the optimal transmission structure are derived using Lagrange duality theory. This leads to distributed low-complexity transmission strategies, which are evaluated on measured multiantenna channels in a typical urban multicell environment.

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“…The optimality properties in Theorem 2 and 3 can be exploited for iterative transmission designs (e.g., [9]- [12]) that can be implemented in a partially distributed manner.…”

Section: Low-complexity Multicell Beamformingmentioning

confidence: 99%

Section: Measurement-based Performance Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimality Properties and Low-Complexity Solutions to Coordinated Multicell Transmission

Björnson

Bengtsson

Ottersten

2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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“…The cluster of BSs serving a user k is denoted B k . The signal received by a user k is given by [12]:…”

Section: System Modelmentioning

confidence: 99%

Analytical Joint Processing Multi-Point Cooperation Performance in Rayleigh Fading

Cheikh

Kélif

Coupechoux

et al. 2012

IEEE Wireless Commun. Lett.

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Abstract-Coordinated multi-point (CoMP) is a very promising transmission scheme since it permits interference reduction and cell-edge throughput improvement. In this work, we study the performance of the joint processing multiple antenna multipoint cooperation using the maximum ratio transmission (MRT) technique. A closed form expression of the outage probability is derived for Rayleigh flat fading channel model considering pathloss and constant shadowing. Analytical and simulation results are compared.

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Uplink OFDMA resource allocation with discrete rates: optimal solution and suboptimal implementation

Yaacoub

El-Hajj

Dawy

2011

Trans. Emerg. Telecomms. Techs.

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Resource allocation in the uplink of orthogonal frequency‐division multiple access systems is investigated. The problem of ergodic utility maximisation with discrete rates is formulated and solved using dual Lagrangian techniques. Suboptimal algorithms based on equal power allocation over the subcarriers are proposed. Results are presented and compared for the continuous and discrete rates scenario, using both the optimal solutions and the suboptimal algorithms. Equal power allocation is shown to approximate well the optimal solution in the continuous rates case, as well as in the discrete rates scenario when the number of modulation and coding schemes increases. Copyright © 2011 John Wiley & Sons, Ltd.

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On the Value of Coherent and Coordinated Multi-Cell Transmission

Cited by 34 publications

References 10 publications

Optimality Properties and Low-Complexity Solutions to Coordinated Multicell Transmission

Optimality Properties and Low-Complexity Solutions to Coordinated Multicell Transmission

Analytical Joint Processing Multi-Point Cooperation Performance in Rayleigh Fading

Uplink OFDMA resource allocation with discrete rates: optimal solution and suboptimal implementation

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