Multicell Propagation in a Realistic Macro Cellular Environment

Grieger, Michael; Fettweis, Gerhard; Kotzsch, Vincent

doi:10.1109/twc.2015.2439686

Cited by 7 publications

(5 citation statements)

References 39 publications

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“…In [27], measurements were carried out in a field trial testbed in Dresden (Germany) downtown. In this section we make use of this measurement data to show the potential of MCo in a real cellular network.…”

Section: Cellular Field Trial For the Uplinkmentioning

confidence: 99%

“…Since combining algorithms are particularly beneficial in scenarios with multiple relatively high average SNR values, this result indicates that cooperation among BSs can provide a much more reliable data transmission, as confirmed next. For more details on this field trial setup, please refer to [27].…”

Section: A Field Trial Setupmentioning

confidence: 99%

“…The steps can be justified similarly to (15)- (17). No further simplification based on high SNRs can be achieved for (27). However, the asymptotic solution of identical received average SNRs in (23) gives an upper bound at high SNR for ( 27) by replacing ΓN with N i=1 Γi yielding…”

Section: B Linear Combiningmentioning

confidence: 99%

“…(a) Testbed deployment, (b) measured average SNRΓ m i achieved at all BSs of the testbed during the complete field trial[27], (c) empirical outage probability CDF (N ∈ {2, 3}, Rc = 1), and (d) empirical throughput CDF (N ∈ {2, 3}, P out = 10 −5 ) for JD, SC, and MRC.…”

mentioning

confidence: 99%

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How Reliable and Capable is Multi-Connectivity?

Wolf¹,

Schulz²,

Dörpinghaus³

et al. 2019

IEEE Trans. Commun.

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Multi-connectivity (MCo) is considered to be a key strategy for enabling reliable transmissions and enhanced data rates in fifth-generation mobile networks, as it provides multiple links from source to destination. In this work, we quantify the communication performance of MCo in terms of outage probability and throughput. For doing so, we establish a simple, yet accurate analytical framework at high signal-to-noise ratio (SNR), in which the number of links, the spectral efficiency, the path loss, and the SNR are incorporated, giving new insights into the potentials of MCo as compared with single-connectivity (SCo). These are our main contributions: (1) finding the exact coding gain of the outage probability for parallel block-fading channels;(2) quantifying the performance improvement of MCo over SCo in terms of SNR gain; and (3) comparing optimal and suboptimal combining algorithms for MCo at the receiver side, namely joint decoding, selection combining, and maximal-ratio combining, also in terms of SNR gain. Additionally, we apply our analytical framework to real field channel measurements and thereby illustrate the potential of MCo to achieve high reliability and high data rates in real cellular networks.

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Section: Cellular Field Trial For the Uplinkmentioning

confidence: 99%

Section: A Field Trial Setupmentioning

confidence: 99%

Section: B Linear Combiningmentioning

confidence: 99%

mentioning

confidence: 99%

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How Reliable and Capable is Multi-Connectivity?

Wolf¹,

Schulz²,

Dörpinghaus³

et al. 2019

IEEE Trans. Commun.

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show abstract

“…For example, when the SBSs make use of the same frequency resource, the inter-tier interference can be significant; due to their small sizes users in small cells are more likely to suffer from inter-cell interference (ICI). [14], [15] Precoding is the technique for enabling multi-user transmission in a multi-cell cluster. By varying the amplitude and phase of different antennas, linear precoding schemes like Zero-Forcing or minimum mean-square error could achieve near-optimal capacity, and they help suppress interference with available channel multiplicity.…”

mentioning

confidence: 99%

Energy Efficient Massive MIMO through Distributed Precoder Design

Zhang¹,

Liu²,

Yu³

et al. 2018

Preprint

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This paper presents an energy-efficient downlink precoding scheme with the objective of maximizing system energy efficiency in a multi-cell massive MIMO system. The proposed precoding design jointly considers the issues of power control, interference management, antenna switching and user throughput in a cluster of base stations (BS). We demonstrate that the precoding design can be formulated into a general sparsity-inducing non-convex problem, which is NP-hard. We thus apply a smooth approximation of zero-norm in the antenna power management to enable the application of the gradient-based algorithms. The non-convexity of the problem may also cause slow convergence or even divergence if some classical gradient algorithms are directly applied. We thus develop an efficient alternative algorithm combining features from augmented multiplier (AM) and quadratic programming (QP) to guarantee the convergence. We theoretically prove the convergence conditions for our algorithm both locally and globally under realistic assumptions. Our proposed algorithms further facilitate a distributed implementation that reduces backhaul overhead by offloading data-intensive steps to local computation at each BS. Numerical results confirm that our methods indeed achieve higher energy efficiency with superior convergence rate, compared to some well-known existing methods.

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Adaptive heading prediction of moving path for user-centric optimal cell selection toward 5G cooperative cellular communication

Chang

Liou

2018

Computer Communications

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Multicell Propagation in a Realistic Macro Cellular Environment

Cited by 7 publications

References 39 publications

How Reliable and Capable is Multi-Connectivity?

How Reliable and Capable is Multi-Connectivity?

Energy Efficient Massive MIMO through Distributed Precoder Design

Adaptive heading prediction of moving path for user-centric optimal cell selection toward 5G cooperative cellular communication

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