Decentralized Weighted Sum Rate maximization in MIMO-OFDMA femtocell networks

Agustín, Adrián; Vidal, Josep; Muñoz, Olga; Fonollosa, J.R.

doi:10.1109/glocomw.2011.6162451

Cited by 10 publications

(10 citation statements)

References 13 publications

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“…Recall that with an entirely asynchronous iteration (simultaneous optimizations) convergence could not be guaranteed because the objective function of problem (P s frame ) in (15) could oscillate when the interference-cost matrices were updated. In that case, some works have shown through simulations that convergence is achieved by performing simultaneous optimizations provided that a memory is included in the interference-cost matrices (as, for instance, through a low pass filter), see [25], [32].…”

Section: )mentioning

confidence: 99%

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Joint User Scheduling, Precoder Design, and Transmit Direction Selection in MIMO TDD Small Cell Networks

Lagén

Agustín

Vidal

2017

IEEE Trans. Wireless Commun.

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This is the author's version of an article that has been accepted for publication in IEEE Trans. on Wireless Commun.Changes were made to this version by the publisher prior to publication.Abstract-New short-length single-direction frame structures are proposed for 5G time division duplex (TDD) systems, where the transmit direction (i.e. either downlink (DL) or uplink (UL)) can be independently chosen at each cell in every frame. Accordingly, high flexibility is provided to match the per-cell DL/UL traffic asymmetries and full exploitation of dynamic TDD is allowed. As a downside, interference management becomes crucial. In this regard, this paper proposes a procedure for dynamic TDD in dense MIMO small cell networks, where the transmit direction selected per small cell (SC) is dynamically optimized together with the user scheduling and transmit precoding. We focus on the maximization of a general utility function that takes into account the DL/UL traffic asymmetries of each user and the interference conditions in the network. Although the problem is non-convex, it is decomposed thanks to the interferencecost concept and then efficiently solved in parallel. Simulation results show gains in DL and UL average rates for different traffic asymmetries and SC/user densities as compared to existing dynamic TDD schemes thanks to the proposed joint optimization. The gains become more significant when there is high interference and limited number of antennas.

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Section: )mentioning

confidence: 99%

“…Decomposition of (15) Let us define the interference-cost (or price) matrices [24], [25] related to the impact of selecting user i k at SC k in transmit direction d=DL and d=UL, respectively, over the neighboring SCs/users (∀l =k, ∀j l ∈I l ): …”

Section: Joint User Scheduling Precoding Design Andmentioning

confidence: 99%

Joint User Scheduling, Precoder Design, and Transmit Direction Selection in MIMO TDD Small Cell Networks

Lagén

Agustín

Vidal

2017

IEEE Trans. Wireless Commun.

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“…Nowadays, a great interest has been sparked in developing distributed methods. In [10][11][12], the problem is solved in distributed ways based on the pricing mechanism. However, the method in [10] splits the channel allocation process with beamforming and power optimization, and both methods in [11,12] are restricted to single user per cell scenario.…”

Section: Introductionmentioning

confidence: 99%

“…In [10][11][12], the problem is solved in distributed ways based on the pricing mechanism. However, the method in [10] splits the channel allocation process with beamforming and power optimization, and both methods in [11,12] are restricted to single user per cell scenario. In [13], the method iterative coordinated beamforming (ICBF) makes use of the necessary optimality condition for the WSRMax to design distributed solutions without completed theoretical proofs, and its results elucidate that the coordination can provide considerable gains.…”

Section: Introductionmentioning

confidence: 99%

Distributed weighted sum-rate maximization with multi-cell uplink-downlink throughput duality

Zhu

et al. 2015

EURASIP J. Adv. Signal Process.

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The weighted sum-rate maximization (WSRMax) problem is important for the radio resource allocation in wireless networks. In this paper, we focus on solving the WSRMax optimization problem in a Home eNodeB (HeNB) wireless network for the multiple input single output (MISO) downlink transmission. Based on an ameliorated max-min multi-cell uplink-downlink throughput duality, we design a distributed algorithm which contains Loop1 and Loop2 associating with the max-min procedure, respectively. Especially, in Loop2 procedure, we propose a new distributed iteration scheme with the complete proof. During the implementation of the proposed algorithm, randomly deployed HeNBs only need to share information with their neighboring nodes. Simulation results show that the two processes can converge to a stable state, and the network capacity is dramatically improved with the coordination among HeNBs.

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“…These mechanisms use cognitive radio and game theory to support their resource allocation methodologies. The work in [8] aims to maximize the weighted sum rate of the femtomacro network in a delay tolerant scenario. However, this requires high information overhead among MBSs and FBSs.…”

Section: Introductionmentioning

confidence: 99%

Cognitive Aware Interference Mitigation Scheme for LTE Femtocells

AlQerm

Shihada

2015

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract-Femto-cells deployment in today's cellular networks came into practice to fulfill the increasing demand for data services. It also extends the coverage in the indoor areas. However, interference to other femto and macro-cells users remains an unresolved challenge. In this paper, we propose an interference mitigation scheme to control the cross-tier interference caused by femto-cells to the macro users and the co-tier interference among femtocells. Cognitive radio spectrum sensing capability is utilized to determine the non-occupied channels or the ones that cause minimal interference to the macro users. An awareness based channel allocation scheme is developed with the assistance of the graph-coloring algorithm to assign channels to the femto-cells base stations with power optimization, minimal interference, maximum throughput, and maximum spectrum efficiency. In addition, the scheme exploits negotiation capability to match traffic load and QoS with the channel capacity, and to maintain efficient utilization of the available channels.

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Decentralized Weighted Sum Rate maximization in MIMO-OFDMA femtocell networks

Cited by 10 publications

References 13 publications

Joint User Scheduling, Precoder Design, and Transmit Direction Selection in MIMO TDD Small Cell Networks

Joint User Scheduling, Precoder Design, and Transmit Direction Selection in MIMO TDD Small Cell Networks

Distributed weighted sum-rate maximization with multi-cell uplink-downlink throughput duality

Cognitive Aware Interference Mitigation Scheme for LTE Femtocells

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