Design and performance analysis of collaborative spatial multiplexing for IEEE 802.16e-based systems

Balachandran, K.; Calin, Doru; Gopalakrishnan, N.S.; Kang, Joseph H.; Kogiantis, Achilles; Li, Shupeng; Ozarow, L.H.; Ramakrishna, Sudhir; Rudrapatna, Ashok N.; Sun, Russell

doi:10.1002/bltj.20338

Cited by 5 publications

(6 citation statements)

References 3 publications

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“…Besides, it can achieve real MIMO excellence. However, CMIMO channel interference and synchronization are the main problems that make applying CMIMO [41][42][43].…”

Section: Figure 1 Cluster-based Data Transmissionmentioning

confidence: 99%

A New Bio-Inspired for Cooperative Data Transmission of IoT

et al. 2020

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The original queen honey bee migration (QHBM) was developed for independent action on solving efficient mobile routing in WSN. In this paper, we enhanced the original QHBM using Binary testing injection on the cooperative node's selection on IoT system. We also added a new cost function for making nodes' coalition, implementing the threshold value for modified QHBM (mQHBM for short), and demonstrating the mQHBM-CMIMO in fair comparison with another previous algorithms. Our research portrayed that mQHBM can perform better than its competitors such as Fuzzy-BT, Neuro Fuzzy and PSO in terms of network lifetime and the end to end delay.

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“…Besides, it can achieve real MIMO excellence. However, CMIMO channel interference and synchronization are the main problems that make applying CMIMO [41][42][43].…”

Section: Figure 1 Cluster-based Data Transmissionmentioning

confidence: 99%

A New Bio-Inspired for Cooperative Data Transmission of IoT

et al. 2020

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“…Since user is always transmit power limited, if more than one data streams are transmitted simultaneously, the power per stream will be weakened and it makes the data vulnerable to interference and noise. The uplink spatial multiplexing can be implemented by allowing multiple users to transmit simultaneously [10]. Assume the maximal number of uplink streams that BS can decode is N s .…”

Section: System Model Of Multi-cell Mimo Uplinkmentioning

confidence: 99%

“…By enabling uplink transmission by multiple user simultaneously, the CSM's stream number can be larger than the user's transmit antenna number. CSM's specturm efficiency (SE) is usually much higher than the SE of SU-SM system [10]. With the consideration of the inter-cell interference, we propose to optimize the scheduler to both suppress the pollution to other cells and enhance the signal to home BS by exploiting the summed spatial correlation of pollution channels and signal channel state information at transmitter.…”

Section: Introductionmentioning

confidence: 99%

Transmitter Centric Scheduling in Multi-Cell MIMO Uplink System

Zhu

Zhang³

2010

2010 IEEE International Conference on Communications

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This paper considers the multi-user MIMO collaborative spatial multiplexing uplink scheduling scheme in multicell time-division duplexing system. An transmitter centric (TC) beamforming and scheduling scheme has been proposed to reduce the inter-cell interference opportunistically. Most previous works in the area of mimo beamforming and scheduling are aiming at improve the signal to interference plus noise power ratio at receiver directly. These receiver centric (RC) schemes requires interference covariance at receiver. However, in multi-user system, the uplink interference at base station (BS) is fluctuant and can't be acquired for scheduling due to the dynamics of the scheduled user set in other cells. It makes the uplink scheduling problem challenging. Our proposed TC scheme considers the pollution which is defined as the sum power of user signal arriving at other BSs. User selects the transmit beamforming vector with highest signal to pollution plus noise ratio (SPR) and informs its home BS. To enhance the signal and suppress the pollution, a scheduling criterion is derived based on SPR metric with awareness of intracell interference. The proposed scheduling scheme is compared with conventional RC and single-user TC spatial multiplexing in the scenarios with various antenna configurations, BS and user numbers. The simulation result shows that our proposed TC scheme can better reduce the pollution and significantly improve the system capacity.

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“…WjW H i Hij(l) 2 (4) where Hij(l) is the channel coefficient for the l th subcarrier between transmit antenna j and receiving antenna i (∵ dij , ρ are constant for all MSs in the system).…”

Section: System Modelmentioning

confidence: 99%

On bounding the number of mobiles sharing a slot in a point-to-multipoint network

Krishna

Murthy

2012

Proceedings of the 15th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

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Multiple antenna techniques are widely being recognized as front-runners in improving the performance of a wireless network. Sharing a slot between two Mobile Stations (MSs) is defined in a Point-to-Multipoint (PMP) network, independent of the number of antennas at each MS. However, sharing a slot among more than two MSs in a PMP network is not studied in the literature. In this paper, we study if more than two MSs can share a slot for transmission. We find that there exists few realistic scenarios where more than two MSs can share a slot, thus improving the throughput of the network. We observe that the number of MSs sharing a slot is dependent not only on the number of antennas at each MS but also the multiple antenna technique utilized for transmission. When each MS has a constant rate requirement of 2 bps/Hz, we found that 3 MSs can share a slot when each MS uses Spatial Multiplexing techniques, while 4 MSs can share a slot when each MS uses Spatial Diversity techniques for transmission.

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Design and performance analysis of collaborative spatial multiplexing for IEEE 802.16e-based systems

Cited by 5 publications

References 3 publications

A New Bio-Inspired for Cooperative Data Transmission of IoT

A New Bio-Inspired for Cooperative Data Transmission of IoT

Transmitter Centric Scheduling in Multi-Cell MIMO Uplink System

On bounding the number of mobiles sharing a slot in a point-to-multipoint network

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