Coverage Performance in Multistream MIMO-ZFBF Heterogeneous Networks

Khoshkholgh, Mohammad G.; Shin, Kang G.; Navaie, Keivan; Leung, Victor C. M.

doi:10.1109/tvt.2017.2651641

Cited by 16 publications

(15 citation statements)

References 40 publications

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“…The FD C-RAN SE upper-bound expressions under the fronthaul constraint involve the CDFs of the SINRs. In the case of multi-antenna communications over isotropic Rayleigh fading channels, the coverage probability can be calculated in a number of ways, see, e.g., [46]- [48] (the reader is referred to [49] for multi-stream coverage performance analysis). On the other hand, no prior work has derived the SINR distributions in the case of cooperative multi-antenna communications with non-isotropic channels.…”

Section: C-ran Analysis a Unified Frameworkmentioning

confidence: 99%

Full-Duplex Cloud Radio Access Network: Stochastic Design and Analysis

Shojaeifard

Wong

et al. 2018

IEEE Trans. Wireless Commun.

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Full-duplex (FD) has emerged as a disruptive communications paradigm for enhancing the achievable spectral efficiency (SE), thanks to the recent major breakthroughs in self-interference (SI) mitigation. The FD versus half-duplex (HD) SE gain, in cellular networks, is however largely limited by the mutual-interference (MI) between the downlink (DL) and the uplink (UL). A potential remedy for tackling the MI bottleneck is through cooperative communications. This paper provides a stochastic design and analysis of FD enabled cloud radio access network (C-RAN) under the Poisson point process (PPP)-based abstraction model of multi-antenna radio units (RUs) and user equipments (UEs). We consider different disjoint and user-centric approaches towards the formation of finite clusters in the C-RAN. Contrary to most existing studies, we explicitly take into consideration non-isotropic fading channel conditions and finite-capacity fronthaul links. Accordingly, upper-bound expressions for the C-RAN DL and UL SEs, involving the statistics of all intended and interfering signals, are derived. The performance of the FD C-RAN is investigated through the proposed theoretical framework and Monte-Carlo (MC) simulations. The results indicate that significant FD versus HD C-RAN SE gains can be achieved, particularly in the presence of sufficient-capacity fronthaul links and advanced interference cancellation capabilities. Index TermsCloud radio access network (C-RAN), full-duplex (FD), half-duplex (HD), spectral efficiency (SE), finite clustering, nonisotropic fading channels, capacity-limited fronthaul links, system-level analysis. I. INTRODUCTIONFull-duplex (FD) communications, that is simultaneous transmission and reception of wireless signals, has emerged as a disruptive solution for enhancing the achievable spectral efficiency (SE) [1]- [3]. In the past, operating in FD mode was deemed unfeasible, due to the overwhelming self-interference (SI) which arises from the bi-directional wireless functionality. In recent years, significant technological advances have been made towards tackling the SI directly in FD mode, using any combination of passive suppression and active cancellation in analog and/or digital domains, see, e.g., [4]- [7]. In point of fact, several protocols and prototypes for FD radios have been successfully implemented in practice, achieving near two-fold increase in SE versus the conventional half-duplex (HD) radios [8]- [10]. On the other hand, it has been shown that the large-scale FD functionality, in the context of cellular networks, is largely limited by the mutual-interference (MI) between the downlink (DL) and the uplink (UL) [11]- [13]. A potential remedy for tackling the MI bottleneck, and hence unlocking the end-to-end benefits of FD operation in cellular networks, may be through cooperative communications.Cloud radio access network (C-RAN) is a novel cellular network architecture in which the base station (BS) baseband processing and radio-frequency functionalities are decoupled [14], [15]. C-RAN facilit...

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Section: C-ran Analysis a Unified Frameworkmentioning

confidence: 99%

Full-Duplex Cloud Radio Access Network: Stochastic Design and Analysis

Shojaeifard

Wong

et al. 2018

IEEE Trans. Wireless Commun.

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“…Tier i is fully characterized by the corresponding spatial density of BSs, λ i , their transmission power, P i , the minimum required received SIR for the UEs in Tier i, β i ≥ 1, the number of the transmit antennas at the BSs, N t i , and the number of scheduled streams S i ≤ min{N t i , N r } also referred to as multiplexing gain [30], [63], [64]. Fig.…”

Section: System Modelmentioning

confidence: 99%

“…This transmission scheme is often referred to as open-loop pre-coding, see, e.g., [63], [64]. At the receiver, the system employs zero-forcing beamforming (ZFBF) [30], [63]. To decode the l i -th stream, in ZFBF, a typical UE uses the available CSIR, H x i , to mitigate the inter-stream interference.…”

Section: Sir Of Data Streamsmentioning

confidence: 99%

“…In multiple stream MIMO, we consider the coverage probability as the probability that all of a typical UE's streams are successfully decoded at the receiver. Such a notion of coverage probability is also referred to as allcoverage probability in isolated scenarios, e.g., [30], [31], [32], [33], [65], [66].…”

Section: Coverage Probability In Multi-stream Mimo Hetnetsmentioning

confidence: 99%

“…This is different from the conventional approach, stream-level analysis, which defines a successful transmission as the successful reception of a single data stream. In fact, our previous results [30], [31], [32], [33] indicate that the coverage performance of MIMO multiplexing HetNets with SPLM is best represented by their link-level analysis. Thus, part of this paper could be considered as an extension of our previous results to systems with LOS/NLOS path-loss attenuation.…”

Section: Introductionmentioning

confidence: 99%

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Coverage Performance in MIMO-ZFBF Dense HetNets with Multiplexing and LOS/NLOS Path-Loss Attenuation

Khoshkholgh

Navaie

Shin

et al. 2020

IEEE Trans. on Mobile Comput.

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The performance of multiple-input multiple-output (MIMO) multiplexing heterogenous cellular networks are often analyzed using a single-exponent path-loss model. Thus, the effect of the expected line-of-sight (LOS) propagation in densified settings is unaccounted for, leading to inaccurate performance evaluation and/or inefficient system design. This is due to the complexity of LOS/non-LOS models in the context of MIMO communications. We address this issue by developing an analytical framework based on stochastic geometry to evaluate the coverage performance. We focus on the zero-forcing beamforming where the maximum signal-to-interference ratio is used for cell association. We analytically derive the coverage. We then investigate the cross-stream interference correlation, and develop two approximations of the coverage: Alzer Approximation (A-A) and Gamma Approximation (G-A). The former is often used in the single antenna and single-stream MIMO. We extend A-A to a MIMO multiplexing system and evaluate its utility. We show that the inverse interference is well-fitted by a Gamma random variable, where its parameters are directly related to the system parameters. The accuracy and robustness of G-A is higher than that of A-A. We observe that depending on the multiplexing gain, it is possible to attain the best coverage probability by proper densification.

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The Effect of Spatial Multiplexing of the Interference on MIMO Communication Performance

Richter

Bergel

2020

IEEE Access

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This work sheds light on the effects of spatially multiplexed interference on multiple-inputmultiple-output (MIMO) networks. In particular, any increase in the number of interfering data streams (while keeping the total interference power constant) is shown to degrade the quality of the interfered link. Although this statement appears very intuitive, it has yet to be proven. In this work, we first give a mathematical definition of the intuitive notion of 'increasing the number of streams' leads to proof that the achievable rate of a link decreases when any of its interferers increases its number of data streams. The achievable rate is measured by the mutual information of the link or by the spectral efficiency of the optimal linear Minimum-Mean-Square (MMSE) receiver. Correlatively, we show that the worst power allocation for an interferer is the equal power allocation for all the streams. This result highlights the importance of the optimization of the number of data streams at each transmitter in MIMO networks. INDEX TERMS Multiple-input-multiple-output (MIMO), Wireless communication.

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Coverage Performance in Multistream MIMO-ZFBF Heterogeneous Networks

Cited by 16 publications

References 40 publications

Full-Duplex Cloud Radio Access Network: Stochastic Design and Analysis

Full-Duplex Cloud Radio Access Network: Stochastic Design and Analysis

Coverage Performance in MIMO-ZFBF Dense HetNets with Multiplexing and LOS/NLOS Path-Loss Attenuation

The Effect of Spatial Multiplexing of the Interference on MIMO Communication Performance

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