A novel scheduling scheme based on MU-MIMO in TD-LTE uplink

Wang, Sen; Wang, Fei; Wang, Yafeng

doi:10.1109/wcnc.2011.5779258

Cited by 12 publications

(2 citation statements)

References 9 publications

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“…The main difference is to properly select the users that can be scheduled jointly by cooperative eNBs which is more complicated. Most of previous studies have developed CoMP schedulers based on typical RRA (e.g., ), PFA (e.g., ), or Max‐min A (e.g., ). They built different strategies aiming at enhancing either the spectral efficiency or the fairness.…”

Section: Phase 2: Green Scheduling Algorithm For Mu‐comp Systemsmentioning

confidence: 99%

A green scheduling with adaptive spatial division multiple access grouping for multi‐user coordinated multi‐point networks

Chaabane¹,

Hamouda²,

Tabbane³

2015

Wireless Communications

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Multi-User Coordinated Multi-Point (MU-CoMP), which couples CoMP with Multi User-Multiple Input Multiple Output (MU-MIMO), appears as a promising solution to enhance the Long Term Evolution-Advanced (LTE-A) system performance. However, some challenging issues in MU-CoMP networks require more investigation. First, the set of users transmitting under CoMP mode should be properly identified. Secondly, time-frequency resource should be efficiently partitioned between CoMP and non-CoMP users in order to improve the system radio capacity. Thirdly, a fair and green scheduler is much needed for a more energy efficient system. This paper deals with these three issues. We propose an adaptive transmission mode selection according to the total load in the cluster and to users' quality of service. The adequate size of the Spatial Division Multiple Access users' groups is also analyzed. We finally propose a new scheduling algorithm to further enhance the radio capacity and the energy consumption in the cluster. Simulations results showed that significant improvements are obtained in terms of total system throughput and outage probability in the cluster with our proposed scheme. Moreover, energy efficiency has increased by four times with our proposed scheduling algorithm as compared to commonly used schedulers.

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Section: Phase 2: Green Scheduling Algorithm For Mu‐comp Systemsmentioning

confidence: 99%

A green scheduling with adaptive spatial division multiple access grouping for multi‐user coordinated multi‐point networks

Chaabane¹,

Hamouda²,

Tabbane³

2015

Wireless Communications

View full text Add to dashboard Cite

show abstract

“…In [3], the ICI is effectively canceled for CoMP CS/CB based on a user selection algorithm. An orthogonality based PF scheduling scheme is proposed to mitigate ICI in [4] for CoM-P. However, the complexity will be obviously elevated, due to the increase of coordinated cells when scheduling is applied in the CoMP system under heterogeneous scenario.…”

Section: Introductionmentioning

confidence: 99%

An effective scheduling scheme for CoMP in heterogeneous scenario

Cui

Liu

et al. 2012

2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)

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Coordinated Multi-Point (CoMP) transmission is considered as a tool for 3GPP LTE-Advanced to increase the cell edge throughput. In CoMP JT (Joint Transmission) mechanism, multiplied time-frequency resources are occupied by JT users. Additionally, scheduling relevancy exists among the users, i.e., scheduling orders of different users influence on the cell average and cell edge throughput. So the impact of scheduling relevancy should be considered among the users in the same coordination cluster. Otherwise, the CoMP system throughput will decline significantly. To address this issue, an effective scheduling scheme is proposed for CoMP in heterogeneous scenario. Taking both the user fairness and the throughput of the coordination cluster into account, a suitable scheduling scheme is proposed to improve the system throughput. System-level simulation results prove that, the proposed scheduling scheme outperforms the conventional scheduling scheme in terms of both cell average and cell edge spectral efficiency.

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Effective resource scheduling scheme considering scheduling relevancy for downlink joint transmission system

Cui

et al. 2012

The Journal of China Universities of Posts and Telecommunicatio

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A novel scheduling scheme based on MU-MIMO in TD-LTE uplink

Cited by 12 publications

References 9 publications

A green scheduling with adaptive spatial division multiple access grouping for multi‐user coordinated multi‐point networks

A green scheduling with adaptive spatial division multiple access grouping for multi‐user coordinated multi‐point networks

An effective scheduling scheme for CoMP in heterogeneous scenario

Effective resource scheduling scheme considering scheduling relevancy for downlink joint transmission system

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