Antenna location design for generalized distributed antenna systems

Wang, Xinzheng; Zhu, Pengcheng; Chen, Ming

doi:10.1109/lcomm.2009.090123

Cited by 111 publications

(89 citation statements)

References 8 publications

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“…The topics include from capacity [6,7], joint processing [8][9][10], location optimization [11] to those considering the practical imperfect conditions such as backhaul constraints [12] and asynchronous interference [13].…”

Section: Related Studymentioning

confidence: 99%

Joint resource allocations for remote radio head deployments with coherent transmitter

Wang

Shi

et al. 2012

J Wireless Com Network

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To deal with the future high demands of wireless traffic and energy consumption, one type of heterogeneous deployments is to distribute the base station antennas throughout the entire cell, which is called remote radio head (RRH). In view of radio resource management, the joint resource allocation in broadband orthogonal frequency division multiple access RRH (OFDMA-RRH) has not been thoroughly studied, which includes the antenna port selection, subcarrier assignment and power allocation under the power constraints per antenna port. This article focuses on the downlink resource allocation in OFDMA-RRH, where the coherent transmitter with phase steering is used. The problem to maximize the system spectrum efficiency (SE) is formulated, and solved by a dual decomposition method, where the decomposed sub-problems in the dual domain are solved by analytic geometry. In the optimal solution, the system power is always exhaustively used. As another contribution, this article further proposes that in the optimal solution, there is a considerable part of system power which makes little contribution to the SE and thus should be saved. Specifically, the energy efficiency is analyzed for an individual subcarrier transmission. A proportional power allocation (PPA) method is proposed to achieve a local optimality for each subcarrier. By applying the PPA to every subcarrier in order to maximize the system SE, a new resource allocation problem is formulated and solved. Discussions are also presented for the proposed algorithms on the computational complexity and feasibility in multi-cell cases. Simulation results show that the optimal algorithm consumes all the system power and has good convergence. The algorithm applying PPA can effectively improves the system power efficiency while achieving the SE optimality.

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Section: Related Studymentioning

confidence: 99%

Joint resource allocations for remote radio head deployments with coherent transmitter

Wang

Shi

et al. 2012

J Wireless Com Network

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“…The system performance improvements of the DAS in terms of power saving and spectral efficiency highly depend on the locations of its RAUs [3,[5][6][7]. Several papers analyzed the performance of DASs with fixed RAU locations for various transmit strategies for uplink or downlink.…”

Section: Introductionmentioning

confidence: 99%

“…The so-called squared distance criterion (SDC) was proposed in [6] in order to find optimal antenna locations in a generalized DAS (GDAS) [10] in order to maximize a lower bound of the cell averaged ergodic capacity. The paper [6] converts the RAU location problem into the codebook design problem in vector quantization [11]. This implies that any clustering algorithm like Lloyd or k-means can be used to optimize the RAU locations of the DAS [6].…”

Section: Introductionmentioning

confidence: 99%

“…The paper [6] converts the RAU location problem into the codebook design problem in vector quantization [11]. This implies that any clustering algorithm like Lloyd or k-means can be used to optimize the RAU locations of the DAS [6]. As a result, the * Correspondence: zekeriya.uykan@aum.edu.kw SDC [6] received much attention within the DAS academic community, and following in the footsteps of the SDC and the analysis in [6], several other papers further investigated the SDC for different DAS scenarios.…”

Section: Introductionmentioning

confidence: 99%

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Composite vector quantization for optimizing antenna locations

Uykan

Jäntti²

2018

Turk J Elec Eng & Comp Sci

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Abstract:In this paper, we study the location optimization problem of remote antenna units (RAUs) in generalized distributed antenna systems (GDASs). We propose a composite vector quantization (CVQ) algorithm that consists of unsupervised and supervised terms for RAU location optimization. We show that the CVQ can be used i) to minimize an upper bound to the cell-averaged SNR error for a desired/demanded location-specific SNR function, and ii) to maximize the cell-averaged effective SNR. The CVQ-DAS includes the standard VQ, and thus the well-known squared distance criterion (SDC) as a special case. Computer simulations confirm the findings and suggest that the proposed CVQ-DAS outperforms the SDC in terms of cell-averaged "effective SNR".

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“…This setting has recently gained a great deal of interest as a promising potential to satisfy fast-growing demands for next generation wireless systems because of its power savings and capacity merit over conventional colocated antenna system (CAS) [13]- [18]. In DAS, radio ports (RPs) are geographically distributed over a cell to reduce access distance along with the transmit power which results in mitigating the co-channel interference [19]- [22]. Each radio port is connected to a central processing unit (PU) by fiber or exclusive wireless link.…”

Section: Introductionmentioning

confidence: 99%

Spectral Efficiency of Distributed Large-Scale MIMO Systems With ZF Receivers

Almelah

Hamdi

2017

IEEE Trans. Veh. Technol.

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Abstract-Distributed multiple-input multiple-output (D-MIMO) is a promising technique for next generation wireless networks, which offers a remarkable spectral efficiency gain over the conventional co-located MIMO (C-MIMO). In contrast to C-MIMO, which can be regarded as a special case of D-MIMO, performance analysis of D-MIMO is a challenging problem. This is because radio channels between a user and the distributed radio ports (RPs) are characterized by non-identical path-loss and shadowing effects which render the classical analytical methods non-tractable. In this paper, new accurate expressions for the uplink spectral efficiency of D-MIMO and C-MIMO systems are presented and compared for given large-scale coefficients. We further consider the uplink spectral efficiency for a single-cell distributed large-scale MIMO (D-LMIMO) system with linear zero-forcing (ZF) receivers, accounting for path loss along with shadow fading and multi-path fading effects. Exact expressions for the average spectral efficiency over shadow fading in the asymptotically very large number of RPs antennas regime is explicitly derived, and a tight closed-form lower bound on the asymptotic spectral efficiency is presented. We demonstrate that, the transmit power of each user in D-LMIMO can be scaled down proportionally to the inverse of the number of RP antennas with no performance reduction. Moreover, we study the spectral efficiency of a D-MIMO in a multi-cell environment taking into account accurate co-channel interference (CCI) models. These expressions provide meaningful insights into the impact of SNR, RPs and user positions, number of RPs antennas, shadow fading, and out-of-cell interference on the spectral efficiency of D-MIMO over practical scenarios. Finally, numerical results are validated by simulation to confirm our analysis.Index Terms-Distributed antenna system (DAS), multipleinput multiple-output (MIMO) systems, large-scale MIMO (L-MIMO), spectral efficiency, zero-forcing (ZF) receiver, co-channel interference (CCI).

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Antenna location design for generalized distributed antenna systems

Cited by 111 publications

References 8 publications

Joint resource allocations for remote radio head deployments with coherent transmitter

Joint resource allocations for remote radio head deployments with coherent transmitter

Composite vector quantization for optimizing antenna locations

Spectral Efficiency of Distributed Large-Scale MIMO Systems With ZF Receivers

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