Chunk-Based Resource Allocation in OFDMA Systems—Part II: Joint Chunk, Power and Bit Allocation

Zhu, Huiling; Wang, Jiangzhou

doi:10.1109/tcomm.2011.112811.110036

Cited by 437 publications

(163 citation statements)

References 13 publications

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“…The inverse of the Fisher information matrix can then be recomputed by pre-and post-multiplying itself with the inverse of that diagonal matrix. Such operation will not affect the localization performance of the MVUE computed by (17), because the two indexes are always greater than two.…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, sending the downlink CSI estimated by a MD receiver to the processor inevitably requires some radio resource that can be costly. Reducing the cost of sending the downlink CSI to the processor may be done with a chunk-based scheme [16][17][18], where an average magnitude of CFR for a block of contiguous subcarriers is sent instead of the complex values of the CFR of all subcarriers within the block. However, AOA-based localization requires the CFR in complex form [9].…”

Section: System and Observation Modelsmentioning

confidence: 99%

“…However, AOA-based localization requires the CFR in complex form [9]. Therefore, strictly following [16][17][18] may not be appropriate for our problem. In this regard, we consider that a similar chunkbased scheme that sends an average complex CFR for the block instead of the average magnitude may be adopted for AOA-based localization.…”

Section: System and Observation Modelsmentioning

confidence: 99%

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Performance limit of AOA-based localization using MIMO-OFDM channel state information

Demeechai

Kukieattikool

2017

J Wireless Com Network

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Wireless communication networks are increasingly based on the ubiquitous multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) modulation scheme. Their channel state information is generally obtained each time by a base station receiver as soon as a data packet is successfully received from a mobile device. As it has been shown recently that the MIMO-OFDM channel state information can be used for angle of arrival-based localization, this paper presents a theoretical investigation of the localization performance. The method of computing the Cramer-Rao lower bound, which represents the performance of a minimum variance unbiased estimator, is presented and then used for insightful investigation purposes by means of inspecting the viability of the system requirements and the design properties.

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Section: Discussionmentioning

confidence: 99%

Section: System and Observation Modelsmentioning

confidence: 99%

Section: System and Observation Modelsmentioning

confidence: 99%

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Performance limit of AOA-based localization using MIMO-OFDM channel state information

Demeechai

Kukieattikool

2017

J Wireless Com Network

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“…While User 1 and User 2 can get the information about h 3 , they use the collaborative V-MIMO. We assume a flat fading channel model [29], [30]. All channel power gains follow the stationary block fading model, where they remain unchanged during a time frame with the fixed length T , but vary independently across different time frames.…”

Section: System Modelmentioning

confidence: 99%

QoS-Aware Power Allocations for Maximizing Effective Capacity Over Virtual-MIMO Wireless Networks

Cheng

Zhang

2013

IEEE J. Select. Areas Commun.

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Abstract-To enable multiple mobile users to transmit their signals simultaneously over the same sub-channels, the virtual multiple-input multiple-output (V-MIMO) techniques can exploit the multiple-input multiple-output (MIMO) spectrum efficiency gain. Traditional V-MIMO transmission schemes mainly focus on maximizing the throughput of grouped mobile users without taking into account the quality-of-service (QoS) provisionings. In this paper, we propose the optimal power allocation schemes with statistical QoS provisionings to maximize the effective capacity of non-collaborative/collaborative V-MIMO wireless networks, respectively. For non-collaborative V-MIMO wireless networks, the mobile users in one V-MIMO group transmit signals independently over the same sub-channels. In the view point of existing mobile users, they solely occupy the sub-channels. Thus, the existing mobile users employ the QoS-driven single-user power allocation scheme to maximize their effective capacity. By converting the non-collaborative V-MIMO transmission optimization problem into a strictly convex optimization problem, we derive the QoS-driven power allocation scheme for the newly added mobile users to maximize their effective capacity. For collaborative V-MIMO wireless networks where the mobile users in one group can collaboratively transmit their signals, we derive the QoS-driven collaborative power allocation schemes for both the existing and the newly added mobile users. Also conducted is a set of simulation evaluations, showing that our proposed power allocation schemes for V-MIMO wireless networks outperform the other existing schemes.

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“…A S the demand of the multimedia applications grows in wireless communication systems, high data rate and extended coverage will form the foundation for future services [1], [3]. Distributed antenna system (DAS) is a very promising technique to efficiently extend coverage area and reduce overall transmit power by reducing the distance between the transmitter and the receiver [4]- [8].…”

Section: Introductionmentioning

confidence: 99%

Cooperative Transmission Strategy over Users' Mobility for Downlink Distributed Antenna Systems

Khadka

Adachi

Sun

et al. 2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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Abstract-Previously, a scheme in [1] is proposed for the outdated channel state information (CSI) problem, for data transmission in time division duplex (TDD) systems. In user movement environment, the actual channel of data transmission at downlink time slot is different from the estimated channel due to channel variation. In this paper the effect of different user mobility on TDD downlink multiuser distributed antenna system is investigated. An efficient autocorrelation based feedback interval technique is proposed and updates CSI at less cost of the downlink time slots. In the proposed technique, the frequency of CSI feedback for different users is proportional to their speed. Cooperative clusters are formed to maximize sum rate where channel gain based antenna selection and user clustering based on SINR threshold is applied to reduce computational complexity. Numerical results show that sum rate superiority of the proposed scheme over the user mobility.

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Chunk-Based Resource Allocation in OFDMA Systems—Part II: Joint Chunk, Power and Bit Allocation

Cited by 437 publications

References 13 publications

Performance limit of AOA-based localization using MIMO-OFDM channel state information

Performance limit of AOA-based localization using MIMO-OFDM channel state information

QoS-Aware Power Allocations for Maximizing Effective Capacity Over Virtual-MIMO Wireless Networks

Cooperative Transmission Strategy over Users' Mobility for Downlink Distributed Antenna Systems

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