Cooperative MIMO channel models: A survey

Wang, Cheng-Xiang; Hong, Xuemin; Ge, Xiaohu; Cheng, Xiang; Zhang, Gong; Thompson, John

doi:10.1109/mcom.2010.5402668

Cited by 218 publications

(123 citation statements)

References 6 publications

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“…Older works show that shadowing correlation significantly affects handover behavior [6]- [9], interference power [10]- [14] (and consequently system performance) [15]- [17], and the performance of macrodiversity schemes [10], [18]- [23]. Furthermore, shadowing in decibels has been measured [18], [24]- [39] to have significant correlation in various scenarios.…”

Section: A Motivationmentioning

confidence: 99%

“…Furthermore, shadowing in decibels has been measured [18], [24]- [39] to have significant correlation in various scenarios. Because of these two facts, we believe that the general wireless community is becoming convinced of the importance of modeling correlation in shadowing [2]- [5], [12], [23], [40]- [49]. This is part of a more general trend suggesting that most propagation models used in simulation (and analysis) work today are sometimes too simplistic and may lead to misleading results [50].…”

Section: A Motivationmentioning

confidence: 99%

“…with 0 < ρ < 1, is sometimes used [5], [9]- [11], [20], [21], [29], [42], [45], [47], [53], [61], [63], [76], [82], [83] (ρ = 0.5 [7], [23], [59], [60]) when more information is lacking. However, [7] argued that this may be a too-simplistic model, comparing simulations that use constant versus nonconstant models.…”

Section: A Constant Modelmentioning

confidence: 99%

See 2 more Smart Citations

On the Feasibility of Wireless Shadowing Correlation Models

Szyszkowicz

Yanıkömeroğlu

Thompson

2010

IEEE Trans. Veh. Technol.

163

125

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Abstract-There is emerging interest in more detailed models for wireless shadowing, which may include nonconstant shadowing variance, non-lognormal shadowing, and, most importantly, correlation between paths; we focus on this last aspect. This paper offers a structured synthesis of the existing literature on autocorrelation and cross-correlation in wireless shadowing and attempts to fill existing gaps in the analysis of correlation models. We make a survey of these models and argue, as has previously been observed, that certain models are not mathematically feasible, which may lead to problems in simulations or analysis. We then state some theorems that test whether the models are positive semidefinite, which is the central necessary condition for feasibility, and evaluate the existing models accordingly. Additionally, we evaluate the models according to their physical plausibility, which leads us to choose one model among many as arguably the best one in existence so far. This paper should be useful as a guide on how to implement shadowing correlation in one's work, how to choose an appropriate correlation model, and how to modify existing models or create new models so that they fulfill mathematical feasibility.

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Section: A Motivationmentioning

confidence: 99%

Section: A Motivationmentioning

confidence: 99%

See 1 more Smart Citation

On the Feasibility of Wireless Shadowing Correlation Models

Szyszkowicz

Yanıkömeroğlu

Thompson

2010

IEEE Trans. Veh. Technol.

163

125

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show abstract

“…Table 1 describes some of these. [13]. Both systems mitigate interferences of multi cellular wireless networks in separate ways and are not to be confused with each other [14].…”

Section: Introductionmentioning

confidence: 99%

Massive MIMO Wireless Networks: An Overview

Hassan

Fernando

2017

Electronics

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Massive multiple-input-multiple-output (MIMO) systems use few hundred antennas to simultaneously serve large number of wireless broadband terminals. It has been incorporated into standards like long term evolution (LTE) and IEEE802.11 (Wi-Fi). Basically, the more the antennas, the better shall be the performance. Massive MIMO systems envision accurate beamforming and decoding with simpler and possibly linear algorithms. However, efficient signal processing techniques have to be used at both ends to overcome the signaling overhead complexity. There are few fundamental issues about massive MIMO networks that need to be better understood before their successful deployment. In this paper, we present a detailed review of massive MIMO homogeneous, and heterogeneous systems, highlighting key system components, pros, cons, and research directions. In addition, we emphasize the advantage of employing millimeter wave (mmWave) frequency in the beamforming, and precoding operations in single, and multi-tier massive MIMO systems.

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“…Heterogeneous Networks (HetNets) introduced a new notion of small cells where pico or femto base stations are deployed within the coverage area of the macro base stations [3]. Virtual MIMO is a step forward in this context that allows distributed systems of base stations/antennas that cover a common area and cooperate in order to increase the overall spectral efficiency [4]. This paper focuses on these latter solutions and aims at addressing the problem from an energy efficiency point of view.…”

Section: Introductionmentioning

confidence: 99%

On the energy efficiency of virtual MIMO systems

Varma

Elayoubi

Debbah

et al. 2013

2013 IEEE 24th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC Workshops)

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Abstract-The major motivation behind this work is to optimize the sleep mode and transmit power level strategies in a small cell cluster in order to maximize the proposed energy efficiency metric. We study the virtual multiple input multiple output (MIMO) established with each base station in the cluster equipped with one transmit antenna and every user equipped with one receive antennas each. The downlink energy efficiency is analyzed taking into account the transmit power level as well as the implementation of sleep mode schemes. In our extensive simulations, we analyze and evaluate the performance of the virtual MIMO through zero-forcing schemes and the benefits of sleep mode schemes in small cell clusters. Our results show that for certain configurations of the system, implementing a virtual MIMO with several transmit antennas can be less energy efficient than a system with sleep mode using OFDMA with a single transmitting antenna for serving multiple users.

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Cooperative MIMO channel models: A survey

Cited by 218 publications

References 6 publications

On the Feasibility of Wireless Shadowing Correlation Models

On the Feasibility of Wireless Shadowing Correlation Models

Massive MIMO Wireless Networks: An Overview

On the energy efficiency of virtual MIMO systems

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