A Low Intercell Interference Variation Scheduler for OFDMA Networks

Fodor, Gábor; Koutsimanis, C.

doi:10.1109/icc.2008.579

Cited by 10 publications

(5 citation statements)

References 13 publications

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“…While ICI can be managed by a higher layer's controller (e.g., through radio resource management) [113,114], there are also many kinds of techniques which can effectively mitigate ICI at physical layer [115]. For LTE -advanced systems, CoMP transmission and reception techniques are considered to enhance the data rate for cell-edge users who suffer from ICI.…”

Section: Multichannel Sharing and Joint Detection In Downlink Multicementioning

confidence: 99%

Low Complexity MIMO Receivers

Bai¹,

Choi²,

Yu³

2014

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Section: Multichannel Sharing and Joint Detection In Downlink Multicementioning

confidence: 99%

Low Complexity MIMO Receivers

Bai¹,

Choi²,

Yu³

2014

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“…In brief, the scheduler updates recursively its weights Q c [t] and computes the transmitted signal covariance Σ c [t] according to (20), as if it was operating on a virtual "genie-aided" system with instantaneous service rates I k,c [t]. The throughput region of the virtual genie-aided system, denoted by R genie c (γ −c ), is given by ( 6), after replacing the general rate function (8).…”

Section: A Implementationmentioning

confidence: 99%

Joint Scheduling and ARQ for MU-MIMO Downlink in the Presence of Inter-Cell Interference

Shirani-Mehr,

Papadopoulos,

Ramprashad

et al. 2010

Preprint

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User scheduling and multiuser multi-antenna (MU-MIMO) transmission are at the core of highrate data-oriented downlink schemes of the next-generation of cellular systems (e.g., LTE-Advanced).Scheduling selects groups of users according to their channels vector directions and SINR levels.However, when scheduling is applied independently in each cell, the inter-cell interference (ICI) power at each user receiver is not known in advance since it changes at each new scheduling slot depending on the scheduling decisions of all interfering base stations. In order to cope with this uncertainty, we consider the joint operation of scheduling, MU-MIMO beamforming and Automatic Repeat reQuest (ARQ). We develop a game-theoretic framework for this problem and build on stochastic optimization techniques in order to find optimal scheduling and ARQ schemes. Particularizing our framework to the case of "outage service rates", we obtain a scheme based on adaptive variable-rate coding at the physical layer, combined with ARQ at the Logical Link Control (ARQ-LLC). Then, we present a novel scheme based on incremental redundancy Hybrid ARQ (HARQ) that is able to achieve a throughput performance arbitrarily close to the "genie-aided service rates", with no need for a genie that provides non-causally the ICI power levels. The novel HARQ scheme is both easier to implement and superior in performance with respect to the conventional combination of adaptive variable-rate coding and ARQ-LLC.

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“…Unlike the frequency planning in conventional cellular networks, depending on the traffic demands and parameters effecting the network performance, dynamic resource sharing and allocation to different base station (BS)/relay station (RS) cells based should be performed. Introducing RS's in the system is another way to provide high data rates to cell edge users [5]. Transmission from RS might cause a significant amount of interference among neighboring cells.…”

Section: Introductionmentioning

confidence: 99%

Short-Term Multi-Cell Dynamic Resource Allocation in Future Cellular Networks

Babu¹,

Kumar²,

Rao³

2012

IJCNC

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In future cellular system, it is becoming more challenging to optimize the radio resource management and maximize the system capacity whilst meeting the required quality of service from user's point of view. Traditional schemes have approached this problem mainly focusing on resources within a cell and to large extent ignoring effects of multi-cell architecture. For multi-cell systems employing intra-cell orthogonal communication channels, inter-cell interference mitigation techniques are expected to be one of the key radio resource management functions. In this paper, we propose a multi-cell coordinated and un-coordinated dynamic resource sharing algorithms and reuse techniques among base station/ relay station cells. The sub carrier allocation and power allocation are performed on the basic of sum-rate maximization, by considering the load over the cell (3-sector cell). The simulation results show the performance comparison between both coordinated and un-coordinated resource allocation schemes with different sum-rate maximization algorithms.

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A Low Intercell Interference Variation Scheduler for OFDMA Networks

Cited by 10 publications

References 13 publications

Low Complexity MIMO Receivers

Low Complexity MIMO Receivers

Joint Scheduling and ARQ for MU-MIMO Downlink in the Presence of Inter-Cell Interference

Short-Term Multi-Cell Dynamic Resource Allocation in Future Cellular Networks

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