2013
DOI: 10.1109/twc.2013.052313.121128
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Multicell Coordination via Joint Scheduling, Beamforming, and Power Spectrum Adaptation

Abstract: Abstract-The mitigation of intercell interference is a central issue for future generation wireless cellular networks where frequencies are reused aggressively and where hierarchical cellular structures may heavily overlap. The paper examines the benefit of coordinating transmission strategies and resource allocation schemes across multiple cells for interference mitigation. For a multicell network serving multiple users per cell sectors and where both the base-stations and the remote users are equipped with m… Show more

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Cited by 172 publications
(153 citation statements)
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References 80 publications
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“…The optimal precoding solution can be obtained from (30) and (27). This is can be explained by the fact that is the dual variable and needs to satisfy the complementary slackness conditions in (24):…”
Section: The Dual Problemmentioning
confidence: 99%
See 1 more Smart Citation
“…The optimal precoding solution can be obtained from (30) and (27). This is can be explained by the fact that is the dual variable and needs to satisfy the complementary slackness conditions in (24):…”
Section: The Dual Problemmentioning
confidence: 99%
“…Recent works have focused on the utility maximization in MIMO interfering broadcast channels [23], [24] and full duplex radio [25]. For the cases of channel state information (CSI) errors, robust versions of these optimizations have been studied in [26]- [35].…”
mentioning
confidence: 99%
“…We introduce our optimization problem in (8), which seeks to maximize the weighted sum-rate system utility. Note that the first constraint in (8) enforces that on each RBG, each TP can serve at-most one user.…”
Section: Problem Formulationmentioning
confidence: 99%
“…Note that the first constraint in (8) enforces that on each RBG, each TP can serve at-most one user. The second and the third constraints together enforce that each user can be assigned only one rank and can receive data from only one TP across all the RBGs on which it is scheduled.…”
Section: Problem Formulationmentioning
confidence: 99%
“…In [6], beamforming and power allocation were jointly designed to maximize the weighted sum rate. In [7], user scheduling, beamforming, and power allocation were jointly optimized to maximize the sum rate, and a local optimal solution was found with an iterative algorithm. In [8], the precoders with BS coordination were optimized to maximize weighted sum rate, where the proposed algorithm was proved to converge to a stationary point of the original problem.…”
Section: Introductionmentioning
confidence: 99%