Enhanced radio resource management introducing smart direct link concepts

Siebert, Matthias; Lott, M.; Weckerle, M.

doi:10.1049/cp:20030270

Cited by 3 publications

(3 citation statements)

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“…Thereby, the direct-mode is explored, which is supported by the extension of the H/2 standard for the home-environment [18]. The concurrent scheduling of resources under the control of the AP is referred to as smart direct-link (SDiL) appliance [17]. With the SDiL mobile MHN are introduced between an MN and the AP, which allows to considerably increase the data rate for high attenuation values and for large distances between the MN and the AP.…”

Section: Figure 4: Required Signal-to-noise Ratio At the Transmitter mentioning

confidence: 99%

Hierarchical cellular multihop networks

Lott

Weckerle

Zirwas

et al. 2003

5th European Personal Mobile Communications Conference 2003

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Mobile communication systems beyond 3G will comprise cellular and self-organizing networks. In this paper an appropriate migration path towards the convergence of these two network types is highlighted and the resulting common radio network architecture is presented. By means of example scenarios the way to beneficially combine both network types will be described. Thereby, transport oriented aspects, especially resource allocation, multihop communication, routing, and special frequency reuse will be the focus of attention. Moreover, it will be described how other network types, like satellite systems, will complement and support cellular and self-organizing networks. Furthermore, we will present results of our research and show the challenges to be met in the design of future radio architectures.

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Section: Figure 4: Required Signal-to-noise Ratio At the Transmitter mentioning

confidence: 99%

Hierarchical cellular multihop networks

Lott

Weckerle

Zirwas

et al. 2003

5th European Personal Mobile Communications Conference 2003

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“…[2], [3], [4], [54], [7], [9], [55], [67], [64], [65], [66], [18], [25], [52], etc) is obvious: If both the source and the target MSs are within close proximity of each other, which one of the following would be better from network performance point of view? :…”

Section: Introductionmentioning

confidence: 99%

Transmission-Order Optimization for Bidirectional Device-to-Device (D2D) Communications Underlaying Cellular TDD Networks—A Graph Theoretic Approach

Uykan

Jäntti

2016

IEEE J. Select. Areas Commun.

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Device-to-Device(D2D) communications underlaying cellular networks is as a promising concept which has several advantages over the traditional cellular networks. In TDD system, the frame structure defines the order of uplink and downlink transmission slots. Typically a TDD system is synchronized and the same transmissionorder (TO) is used in all cells. In a direct D2D link, we have the freedom of selecting the TO of the devices freely. To our best knowledge, no paper has explicitly examined the TO optimization problem in D2D communications underlaying cellular network so far. In this paper, we focus exactly on this problem: Once the proper co-channel D2D pairs are determined in the network, how to minimize the network interference by optimally determining the TOs in all D2D links (together with co-channel cellular links) in the network, which is an NP-complete problem. In this paper, we formulate the TO optimization problem from a graph theoretic point of view: i) We show that TO optimization problem is equal to a constraint balanced min-cut graph partitioning problem of our defined augmented graph, ii) we propose and analyze a distributed and a centralized efficient asynchronous clustering algorithm for solving the TO optimization problem, equivalently, for the min-cut of our proposed augmented graph. Computer simulations for TDD-based D2D underlaying cellular network show that the proposed distributed and centralized algorithms, called ABCAMiC and CABCAMiC, respectively, i) remarkably outperform the reference case where all TOs are fixed, and, ii) converge within relatively small number of steps and generally converge in only a few epochs even for large number of cellular and D2D users, and, iii) the expected Manuscript performance of the (partly/fully) distributed ABCAMiC is almost equal to that of the centralized solution CABCAMiC, which generally gives near-global optimal solution to the TO optimization problem.Index Terms-Device-to-Device (D2D) communications underlaying TDD cellular network, transmission order optimization, graph representation of wireless systems, balanced min-cut graph partitioning, clustering. involvement and thus enhancing the BS resource utilization, (and by low transmit power because the MSs are relatively close to each other) or (b) The local MSs still communicate via the BS using the BS uplink (UL) and downlink (DL) resources unnecessarily (and by relatively high transmit powers if the MSs are relatively far from the BS).The answer is clear: Option (a). It's evidently resource inefficient (in terms of transmit power and bandwidth) for two proximate devices to communicate via a relatively far entity (BS) when there is a direct local path between the devices. The idea of re-using the radio resources (same frequency and time) in the spatial domain (due to the propagation loss or due to the fact that some parts of the network are shielded from other areas by natural obstructions etc) is presented in [63], and is not an innovation as pointed out by e.g. [66]. Direct D2D communication be...

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“…Due to its many advantages over the traditional cellular networks, the research on the D2D communications has proliferated in recent years. In fact, D2D communications under the control of cellular radio systems has been proposed since late 1990s by various works for different systems (e.g., [2]- [4], [6], [8], [15], [18], [32], [34], [35], [39]- [42], etc). In [4], the serving BS maintains control over the D2D call, and preserves billing information for the direct D2D communication between the mobiles.…”

Section: Introductionmentioning

confidence: 99%

Joint Optimization of Transmission-Order Selection and Channel Allocation for Bidirectional Wireless Links—Part II: Algorithms

Uykan

Jäntti

2014

IEEE Trans. Wireless Commun.

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This is the second in a two-part series of papers on transmission order (TO) optimization in the presence of channel allocation (CA), i.e., joint optimization of the TO selection and CA problem, for interfering bidirectional wireless links. Part I of this paper thoroughly analyzes the joint optimization problem from a game theoretic perspective for a general deterministic setting. Here in Part II, we present novel distributed and centralized CA-TO algorithms, together with their performance analysis, for Device-to-Device (D2D) communications underlaying cellular networks based on the findings in Part I of this paper. Here, TO is a novel dimension for optimization. In Part II, we propose and analyze novel two distributed and one centralized joint CA-TO algorithms. Our investigations show that: i) our algorithms contain many of the existing TO algorithms and CA algorithms as its special cases and can thus be considered as a general framework for the joint CA and TO optimization. The computer simulations for TDD-based D2D communications underlaying cellular network show that the proposed distributed and centralized joint CA-TO algorithms remarkably outperform the reference algorithms.Index Terms-Device-to-device (D2D) communications underlaying TDD cellular network, transmission order optimization, channel allocation problem, GADIA.

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Enhanced radio resource management introducing smart direct link concepts

Cited by 3 publications

References 0 publications

Hierarchical cellular multihop networks

Hierarchical cellular multihop networks

Transmission-Order Optimization for Bidirectional Device-to-Device (D2D) Communications Underlaying Cellular TDD Networks—A Graph Theoretic Approach

Joint Optimization of Transmission-Order Selection and Channel Allocation for Bidirectional Wireless Links—Part II: Algorithms

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