Utility Based Scheduling Algorithm for Multiple Services Per User in MIMO OFDM System

Zi-xiong, Chen; Xu, Kai; Jiang, Feng; Wang, Ying; Zhang, Ping

doi:10.1109/icc.2008.887

Cited by 14 publications

(9 citation statements)

References 8 publications

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“…In [7], the availability of the deadline for delay sensitive service is analyzed and scheduling target for delay sensitive service is to transmit packet before deadline, rather than as soon as possible. Thus, the delay sensitive service is divided into three parts according to schedule priority and the deadline: Absolute Priority Services (APS), Relative Priority Services (RPS) and Common Priority Services (CPS), as shown in Fig.2, where d j is the transmit deadline of the head-of-line (HOL) packet of delay sensitive service j. Firstly, parts of resources are allocated to APS until the HOL packet delay is out of [d j − J 1 , d j ], then, RPS and CPS are all treated as best-effort services, therefore, for the RPS,CPS and best-effort service, the optimization problem is formulated as follows:…”

Section: Problem Formulation For Heterogeneous Services Dasmentioning

confidence: 99%

“…The available subcarriers are firstly assigned to the service until the HOL packet is out of [d j − J 1 , d j ] according to Greedy Subcarrier Assignment as described in [7].…”

Section: A Fdac-jdsas Algorithm For Heterogeneous Dasmentioning

confidence: 99%

“…In [6], a novel QoS-guaranteed downlink transmission optimization scheme for multi-services DAS is proposed, but the scenario of heterogeneous services per user is not considered. In [7] an integrated dynamic subcarrier assignment and sharing (IDSAS) algorithm is proposed to solve the problem of heterogeneous services per user in traditional cellular network systems, but the solution is not optimal due to the separation between subcarrier assignment and subcarrier sharing. This paper addresses the problem of resource allocation for heterogeneous services per user in OFDM-DAS.…”

Section: Introductionmentioning

confidence: 99%

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Resource Allocation for Heterogeneous Services Per User in OFDM Distributed Antenna Systems

Shi

Wang

et al. 2010

2010 IEEE 71st Vehicular Technology Conference

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In this paper, we focus on the development of effective and practical scheduling algorithm for heterogeneous services per user of orthogonal frequency division multiplexing distributed antenna systems (OFDM-DAS). We take two scenarios into account: 1)Fixed distributed antenna connection (FDAC), in which each user can connect to only one distributed antenna (DA) port; 2)Dynamic DA connection (DDAC). In this scenario the power constraint of single DA port is considered and users can dynamically connect to the DA ports. Firstly, the optimization problem of heterogeneous services based on utility function is formulated and a algorithm namely joint dynamic subcarrier assignment and sharing (JDSAS) is proposed. Then, in FDAC scenario, a suboptimal algorithm namely FDAC-JDSAS is proposed. In DDAC scenario, a DDAC-JDSAS algorithm is evolved from FDAC-JDSAS by converting the power constraint to subcarrier constraint. The design goal is to fully exploit multiuser diversity gain and DA selection diversity gain while guaranteeing the quality of service (QoS) for delay sensitive services. Numeric results show that, in both FDAC and DDAC, our algorithms outperform traditional M-LWDF algorithm in terms of FTP throughput and fairness criterion.

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Section: Problem Formulation For Heterogeneous Services Dasmentioning

confidence: 99%

“…The available subcarriers are firstly assigned to the service until the HOL packet is out of [d j − J 1 , d j ] according to Greedy Subcarrier Assignment as described in [7].…”

Section: A Fdac-jdsas Algorithm For Heterogeneous Dasmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Resource Allocation for Heterogeneous Services Per User in OFDM Distributed Antenna Systems

Shi

Wang

et al. 2010

2010 IEEE 71st Vehicular Technology Conference

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“…More packet level characteristics and QoS performance metrics, such as packet drop probability, jitter and perceived QoS are considered in [10], [11] and [12]. In [13], [14] and [15] crosslayer design is applied on MIMO OFDMA-based systems and the space diversity is exploited to improve system performance. In [16], [17] and [18] the additional offered degrees of freedom by the usage of multiple antennas enable Space Division Multiple Access (SDMA) transmission within each subchannel of OFDMA to further increase the system throughput.…”

Section: Introductionmentioning

confidence: 99%

Fair cross-layer scheme for heterogeneous H.264/AVC video streams over LTE-based broadband systems

Karachontzitis

Dagiuklas

Dounis

2012

2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC)

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This paper presents a novel cross-layer scheme for video transmission of streams with heterogeneous characteristics over LTE-based wireless systems. The proposed cross-layer scheme is organized by taking into account parameters from the Application layer (I-frames and P-frames), MAC Layer (scheduling packets according to their importance) and PhysicalLayer (linear precoding). All these parameters are considered within a novel resource allocation algorithm, which guarantees a weighted rate balancing across users, which is proportional to the bit rate of each video stream. Simulation results show that the proposed cross layer scheme can efficiently support video delivery both in terms of individual video quality and system overall performance.

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“…However, the researches in both [4] and [5] are based on homogeneous services. A scheduling algorithm for heterogeneous services is proposed in [6]. It adopts utility function to optimize the integrated problem of dynamic subcarrier assignment among users, and dynamic subcarrier sharing among multiple services for single user in traditional multiuser MIMO/OFDM systems.…”

Section: Introductionmentioning

confidence: 99%

Utility Based Adaptive Scheduling Algorithm for Heterogeneous Services in Multiuser MIMO-Relay Systems

Pei

Wang

et al. 2010

2010 IEEE 71st Vehicular Technology Conference

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In this paper, heterogeneous services in multiuser multiple-input multiple-output (MIMO)-Relay systems are investigated, where the relays work in amplify-and-forward mode. A utility based adaptive scheduling algorithm is proposed, which aims to maximize user satisfaction as well as system spectral efficiency. Joint optimal carriers and spatial subchannels allocation is considered based on the proposed utility function, and two factors ratio and w are introduced in order to differentiate QoS and users. Moreover, a suboptimal solution is also presented for the sake of decreasing computational complexity and processing delay. Simulation results show that the proposed strategy can guarantee QoS of multiple services with a tolerable decline in terms of spectral efficiency compared with traditional maximum carrier/interference (MCI) algorithm. Besides, the complexity can be reduced obviously by utilizing the suboptimal scheme, which achieves nearly the same performance compared with the optimal solution.

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Utility Based Scheduling Algorithm for Multiple Services Per User in MIMO OFDM System

Cited by 14 publications

References 8 publications

Resource Allocation for Heterogeneous Services Per User in OFDM Distributed Antenna Systems

Resource Allocation for Heterogeneous Services Per User in OFDM Distributed Antenna Systems

Fair cross-layer scheme for heterogeneous H.264/AVC video streams over LTE-based broadband systems

Utility Based Adaptive Scheduling Algorithm for Heterogeneous Services in Multiuser MIMO-Relay Systems

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