Practical Implementation of Bit Loading Schemes for Multiantenna Multiuser Wireless OFDM Systems

Bartolome, D.; Pérez-Neira, Ana I.

doi:10.1109/tcomm.2007.902567

Cited by 16 publications

(36 citation statements)

References 35 publications

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“…Let row(H k,n ) and null(H k,n ) denote the row space of H k,n and the nullspace ofH k,n , respectively. Then, V (1) k,n forms an orthogonal basis of row(H k,n ) andṼ (0) k,n forms an orthogonal basis of null(H k,n ). The distance between row(H k,n ) and null(H k,n ) is expected to be as small as possible to maximize the total throughput while suppressing interference at subcarrier n. Since the distance between two subspaces can be measured by their orthogonal projection and moreover, V (1) k,n V (1)H k,n andṼ (0) k,nṼ (0)H k,n are the orthogonal projection onto row(H k,n ) and null(H k,n ) respectively, we define the distance between row(H k,n ) and null(H k,n ) as…”

Section: Best-user-first Subcarrier-user Scheduling (Buf-sus) Based Omentioning

confidence: 99%

“…where L = min(L k,n ,L k,n ) withL k,n = rank(H k,n ), and (V (1) k,n ) L and (Ṽ (0) k,n ) L select the first L singular vectors from V (1) k,n andṼ (0) k,n , respectively. If L k,n =L k,n , the definition in (10) is precise; otherwise, some error will be incurred due to the truncation of signal subspace.…”

Section: Best-user-first Subcarrier-user Scheduling (Buf-sus) Based Omentioning

confidence: 99%

“…If L k,n =L k,n , the definition in (10) is precise; otherwise, some error will be incurred due to the truncation of signal subspace. However, the main information of signal subspaces is not lost since (V (1) k,n ) L and (Ṽ (0) k,n ) L correspond to the L largest singular values of H k,n and H k,n , respectively. Therefore, the parameter D defined in (10) can be used as an efficient metric to measure the spatial compatibility of multiple users scheduled at each subcarrier where each user is equipped with multiple receive antennas.…”

Section: Best-user-first Subcarrier-user Scheduling (Buf-sus) Based Omentioning

confidence: 99%

“…In the second dynamic resource allocation algorithm, the unused power caused by the truncation of b k,n,l at subcarrier n is accumulated and allocated to other subcarriers to be optimized [1]. With respect to (6) and (7), the needed power to transmit b k,n,l bits on spatial subchannel l for user k at subcarrier n is calculated as …”

Section: Endformentioning

confidence: 99%

“…Although the dynamic resource allocation schemes proposed for OFDMA/SDMA systems in [1,9,11,13,17,18] achieved the suboptimal solutions of their corresponding optimization problems, all of them were designed for single receive antenna terminals. When each terminal is equipped with multiple antennas, however, the optimization problem becomes much more complicated since the signal space of each user has multiple dimensions.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Resource Allocation for Downlink Multiuser MIMO-OFDMA/SDMA Systems

Zhong

Yang

You³

2010

Circuits Syst Signal Process

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In this paper, new dynamic resource allocation algorithms are investigated for the downlink of multiuser multiple-input multiple-output orthogonal frequency-division multiple-access and space-division multiple-access (MU-MIMO-OFDMA/SDMA) systems. Firstly, a mathematical formulation of the optimization problem is presented with the objective of maximizing the total system throughput under the constraints of each user's quality of service (QoS) requirement and the integer modulation orders available on each spatial subchannel. Secondly, since it is difficult to obtain the optimal solution to the joint optimization problem, the whole optimization procedure is divided into two steps, namely, the subcarrier-user scheduling and the resource allocation. In the first step, a new metric is proposed to measure the spatial compatibility of multiple users, each with multiple receive antennas, based on which a new scheduling algorithm is designed to identify the optimal sets of selected This work was partially supported by National 1062 Circuits Syst Signal Process (2010) 29: 1061-1074 users over all subcarriers. In the second step, two dynamic resource allocation algorithms are developed to assign radio resources to the scheduled users subcarrier by subcarrier. Simulation results demonstrate that the proposed algorithms outperform the traditional allocation methods based on random scheduling scheme. Especially, the performance of the algorithm, combined with power reuse strategy, approaches closely to that of the optimal allocation method based on user selection.Keywords Dynamic resource allocation (DRA) · Multiple-input multiple-output (MIMO) · Orthogonal frequency-division multiple-access (OFDMA) · Space-division multiple-access (SDMA)

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Section: Best-user-first Subcarrier-user Scheduling (Buf-sus) Based Omentioning

confidence: 99%

Section: Best-user-first Subcarrier-user Scheduling (Buf-sus) Based Omentioning

confidence: 99%

Section: Best-user-first Subcarrier-user Scheduling (Buf-sus) Based Omentioning

confidence: 99%

Section: Endformentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamic Resource Allocation for Downlink Multiuser MIMO-OFDMA/SDMA Systems

Zhong

Yang

You³

2010

Circuits Syst Signal Process

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QoE-aware video streaming for SVC over multiuser MIMO–OFDM systems

Chen

Tan

et al. 2015

Journal of Visual Communication and Image Representation

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Dynamic Resource Allocation for Downlink Multi-User MIMO-OFDMA/SDMA Systems

Zhong¹,

Li²,

Zhao³

et al. 2009

2009 IEEE International Conference on Communications

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In this paper, new dynamic resource allocation algorithms are presented for the downlink of multi-user MIMO-OFDMA/SDMA systems. Since it is difficult to obtain the optimal solution to the joint optimization problem, the whole procedure is divided into two steps, namely, the subcarrier-user scheduling and the resource allocation. In the first step, a new metric is proposed to measure the spatial compatibility of multiple users each with multiple receive antennas, based on which a new subcarrier-user scheduling algorithm is designed. In the second step, two dynamic resource allocation algorithms are developed to assign radio resources to the scheduled users accordingly. Simulation results demonstrate the superiority of the proposed algorithms in terms of the system throughput.

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Practical Implementation of Bit Loading Schemes for Multiantenna Multiuser Wireless OFDM Systems

Cited by 16 publications

References 35 publications

Dynamic Resource Allocation for Downlink Multiuser MIMO-OFDMA/SDMA Systems

Dynamic Resource Allocation for Downlink Multiuser MIMO-OFDMA/SDMA Systems

QoE-aware video streaming for SVC over multiuser MIMO–OFDM systems

Dynamic Resource Allocation for Downlink Multi-User MIMO-OFDMA/SDMA Systems

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