A simple greedy scheme for multicell capacity maximization

Kiani, S.G.; Gesbert, David; Kirkebo, J.E.; Gjendemsjo, A.; Oien, G.E.

doi:10.1109/its.2006.4433313

Cited by 7 publications

(1 citation statement)

References 6 publications

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“…Centralized, yet much simplified schemes, have also been proposed, see e.g. [6]. However, even there a central network controller needs to collect quite a lot of multi-cell channel state information for all users.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic access functions for multi-cell wireless schemes

Kirkebo

Gesbert

Kiani

2006

2006 International Telecommunications Symposium

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In recently introduced "multi-cell access" schemes, cells (rather than users) compete for the spectral resource. In a previous paper [1], a framework for such a scheme was proposed, using only local channel information. In the framework each cell competes for access through a credit that is a function of the signal to noise ratio of its scheduled user. Access is then given to a cell with a probability dependent on the access function. In [1] an ad-hoc choice of function was formulated. In this work we investigate which access function actually optimizes the system capacity, utilizing a numerical optimization procedure. We obtain a surprsingly simple solution which also corroborates previous results. For a realistic path loss model we find that our multicell distributed access scheme gives a 19 % gain compared to having all cells on, and more than a 50 % increase in system capacity compared to keeping a traditional static spectral reuse scheme.

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Section: Introductionmentioning

confidence: 99%

Probabilistic access functions for multi-cell wireless schemes

Kirkebo

Gesbert

Kiani

2006

2006 International Telecommunications Symposium

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Interference Management by Component Carrier Selection for Carrier Aggregation System in Heterogeneous Networks

Sun

Huang

Jiang

et al. 2012

Lecture Notes in Electrical Engineering

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Fast Distributed Multi-Cell Scheduling with Delayed Limited-Capacity Backhaul Links

Bendlin

Huang

Ivrlač³

et al. 2009

2009 IEEE International Conference on Communications

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Both fast scheduling and spatial signal processing have proven to be capacity-increasing methods in wireless communication systems. However, when applied in the downlink of a cellular network, the combination of both leads to nonstationary intercell interference. If the base stations do not cooperate, either they have to encode the data very conservatively to gain robustness or the non-stationary fluctuations of the interference powers lead to frequent outages, both of which strongly impair the average achievable throughput. On the other hand, base station cooperation increases complexity and delays, contradicting the desire for fast scheduling algorithms. In this paper, we propose a scheme that makes average channel state information available to all base stations via low-rate backhaul communication, whereas high-rate inter-base-station communication is limited to B log 2 K -bit integers, K being the number of users in each of the B cells. Simulations show that for slow fading channels, the proposed algorithm preserves most of the per cell sum-rate of other beamforming and dirtypaper coding approaches that have unlimited-capacity backhaul links. Furthermore, when out-of-cell information is outdated the proposed algorithm even outperforms those.

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A simple greedy scheme for multicell capacity maximization

Cited by 7 publications

References 6 publications

Probabilistic access functions for multi-cell wireless schemes

Probabilistic access functions for multi-cell wireless schemes

Interference Management by Component Carrier Selection for Carrier Aggregation System in Heterogeneous Networks

Fast Distributed Multi-Cell Scheduling with Delayed Limited-Capacity Backhaul Links

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