Description: 介绍基于mimo的4G系统中调度算法的设计。比较基础。-mimo based on the 4G system scheduling algorithm design. Basis for comparison. Platform: |
Size: 134144 |
Author:王可 |
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Description: 通过动态系统仿真，给出了上述各种MIMO体系下的仿真结果,优秀学位论文
- Under conditions of the Proportional Fair scheduling algorithm, the above-mentioned various MIMO modes are simulated in the proposed dynamic simulation platform. A series of system level metrics are considered in the simulation. Platform: |
Size: 4915200 |
Author:penny |
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Description: 3GPP LTE中上行虚拟MIMO轮询调度算法的源程序代码-Virtual MIMO in 3GPP LTE uplink scheduling algorithm of the source code for poll Platform: |
Size: 2048 |
Author:Aisenxi |
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Description: The combined Block Digonalization precoding and
Geometric Mean Decomposition (BD-GMD) scheme is developed
to eliminate the multiuser interference and improve the system
performance of bit error rate (BER) in the multiuser multiple
input multiple output (MU-MIMO) systems. Platform: |
Size: 248832 |
Author:林浩 |
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Description: We present a user-scheduling scheme for multiuser multiple-input–multiple-output (MIMO) systems with random unitary beamforming (RUB) in this paper. The new scheme, which is termed as adaptive beam activation based on the conditional best beam index feedback (ABA-CBBI), requires low average feedback load by imposing a feedback threshold on the users’ signal-to-interference-plus-noise ratio (SINR) and suffers less multiuser interference by only activating those beams requested by at least one user. Platform: |
Size: 12401664 |
Author:diwakar pandey |
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Description: Long-Term Evolution (LTE) is a new standard speci ed by 3GPP for fourth generation (4G)
wireless communications. LTE provides high spectral eciency, high peak data rates, short
round trip time, and frequency
exibility. It relies on the following technologies Orthog-
onal Frequency Division Multiplexing (OFDM) and Multiple-Input and Multiple- Output
(MIMO), robust channel coding, scheduling and link adaptation [1]. LTE is interoperable
with widely used technologies such as GPRS, WCDMA and HSPA, and this enables mobile
operators deploying LTE to provide a seamless service and multimode devices for customers.
Some companies have already launched commercial LTE networks, e.g., Verizon Wireless in
the United States and Vodafone in Europe.
Here,the throughput of LTE physical layer in downlink transmissions is carried out. The various steps like CRC,turbo coding, code block segmentation,scrambling, modulation and precoding are also carried out.-Long-Term Evolution (LTE) is a new standard speci ed by 3GPP for fourth generation (4G)
wireless communications. LTE provides high spectral eciency, high peak data rates, short
round trip time, and frequency
exibility. It relies on the following technologies Orthog-
onal Frequency Division Multiplexing (OFDM) and Multiple-Input and Multiple- Output
(MIMO), robust channel coding, scheduling and link adaptation [1]. LTE is interoperable
with widely used technologies such as GPRS, WCDMA and HSPA, and this enables mobile
operators deploying LTE to provide a seamless service and multimode devices for customers.
Some companies have already launched commercial LTE networks, e.g., Verizon Wireless in
the United States and Vodafone in Europe.
Here,the throughput of LTE physical layer in downlink transmissions is carried out. The various steps like CRC,turbo coding, code block segmentation,scrambling, modulation and precoding are also carried out. Platform: |
Size: 4096 |
Author:anju |
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Description: From the figure, we observe that the performance
gap between ideal and realistic feedback
is much more pronounced for MU-MIMO compared
to SU-MIMO, which illustrates the
increased sensitivity of MU-MIMO with respect
to CSI accuracy. This is due to the fact that
more accurate CSI feedback helps to improve
the accuracy with which interference nulling can
be performed at the eNB and to better predict
the MU-CQIs, which are crucial for multi-user
scheduling [7]. While Fig. 1 sheds light on the
benefits that may be achieved with improved
CSI feedback accuracy, in practice a tradeoff
between improving downlink performance and
increasing uplink overhead needs to be struck.
In Rel-10, increasing the granularity of the feedback
codebooks was discussed but no agreement Platform: |
Size: 102400 |
Author:nebiyu |
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Search - scheduling in mimo