Evolving Wireless Communications: Addressing the Challenges and Expectations of the Future

Baldemair, Robert; Dahlman, Erik; Fodor, Gábor; Mildh, Gunnar; Parkvall, Stefan; Selén, Y.; Tullberg, Hugo; Balachandran, K.

doi:10.1109/mvt.2012.2234051

Cited by 128 publications

(70 citation statements)

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“…Firstly, increasing the UE power p * UE makes D2D mode attractive also for weaker direct channels. This is explained by the fact that we then operate in the concave regime of the log 2 (1 + SNR)-formula where it is costly to compensate for the 1 2 prelog-factor of cellular mode by increasing the power. Secondly, the channel gain h 1 2 should be proportional to the squared channel gain (|g| 2 ) 2 to choose cellular mode.…”

Section: A D2d Optimality With a Dedicated Resourcementioning

confidence: 99%

“…Emerging multimedia services and applications introduce new traffic types and user behaviors [1]. To address the higher demands imposed on wireless networks, more spectrally efficient and energy efficient approaches should be developed.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we consider network-assisted D2D communications where the network helps the devices to perform peer discovery, radio resource management, and resolve security issues [1], [3]. Therefore, all UEs have the same priority in the network regardless of their mode of operation (i.e., cellular or D2D mode).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, we take into account the effects of multiple antennas in the BS as it is an important feature of LTE and IMT-Advanced systems that enables simultaneous scheduling of spatially separated users [1], [8], [9]. The mode selection problem is formulated with two objectives: maximizing the QoS for a given transmit power, and minimizing the power for a given QoS.…”

Section: Introductionmentioning

confidence: 99%

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Closed-form optimality characterization of network-assisted device-to-device communications

Shalmashi

Björnson

Slimane

et al. 2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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International audience—This paper considers the mode selection problem for network-assisted device-to-device (D2D) communications with multiple antennas at the base station. We study transmission in both dedicated and shared frequency bands. Given the type of resources (i.e., dedicated or shared), the user equipment (UE) decides to transmit in the conventional cellular mode or directly to its corresponding receiver in the D2D mode. We formulate this problem under two different objectives. The first problem is to maximize the quality-of-service (QoS) given a transmit power, and the second problem is to minimize the transmit power given a QoS requirement. We derive closed-form results for the optimal decision and show that the two problem formulations behave differently. Taking a geometrical approach, we study the area around the transmitter UE where the receiving UE should be to have D2D mode optimality, and how it is affected by the transmit power, QoS, and the number of base station antennas. I. INTRODUCTION Emerging multimedia services and applications introduce new traffic types and user behaviors [1]. To address the higher demands imposed on wireless networks, more spectrally effi-cient and energy efficient approaches should be developed. Device-to-device (D2D) communication underlaying cellular networks is proposed to improve cell spectral and energy efficiency of the network [2], [3]. In D2D transmission mode, user equipments (UEs) communicate directly to their intended receivers as opposed to the conventional cellular mode where they communicate through the base station (BS). D2D mode can bring proximity gains and reduce the transmission time. Users in the D2D mode can transmit either in a separate frequency band or via spectrum sharing with cellular users. In the former case, D2D communications do not interfere with cellular users. This case is interesting due to its potential applications, such as public safety and multicasting for local multimedia services and robustness to infrastructure failure. On the other hand, spectrum sharing can be employed to efficiently utilize the resources which allows for better area spectral efficiency [4]. The gain from spectrum sharing can be assured if the interference is controlled by proper mode selection and resource management. However, depending on the network topology and channel conditions, it may not always be beneficial to choose the D2D mode for a UE

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Section: A D2d Optimality With a Dedicated Resourcementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Closed-form optimality characterization of network-assisted device-to-device communications

Shalmashi

Björnson

Slimane

et al. 2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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“…Some new technologies e.g. massive multi-input multi-output antennas [MIMO], millimeter wave, device-to-device communication (D2D), energy efficient communications and small cell networks are developed to support high speed wireless transmission in future fifth generation (5G) mobile communication system [2]. Heterogeneous network (HetNet) is an evolutionary path to the fifth generation communications [3].…”

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confidence: 99%

Challenges of 5G Network and Technologies Used to Tackle the Problems

Bhakoriya¹

2017

IJRASET

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In the future generation of network, data traffic in cellular network increasing rapidly. With the explosive growth of mobile internet application, mobile users are also increased. The prime objective or demands that need to be addressed are increased capacity, improved data rate, decreased latency, and better quality of service then 4G. This paper presents some key technologies used in 5 th generation (5G) network which are helpful to meet the demands of users. In this we focus on the Millimeter-wave and Massive multiple-input multiple-output (M-MIMO) technology which helps to increase the data rate (in Gbps). Along with this device-to-device (D2D) communication, densification of network, machine-to-machine communication are the technologies which are very useful to deal with the challenges like spectral efficiency, end-to-end latency and number of connected devices. At last we will see the development of 5G around the world. KEYWORD: Massive multiple input multiple output [MIMO], small cells, milimeter wave [mmwave], ultra-densification, machine-to-machine.I. INTRODUCTION With the popularization of wireless multimedia communication, the wireless traffic is predicted to be increased more than 100 times in the next decade. So this explosive demand of mobile data results in several challenges which shifted the research directions to the fifth generation networks [1]. 5G networks are intended to provide significantly high data rate access and guaranteed quality-ofservice (QoS). Some new technologies e.g. massive multi-input multi-output antennas [MIMO], millimeter wave, device-to-device communication (D2D), energy efficient communications and small cell networks are developed to support high speed wireless transmission in future fifth generation (5G) mobile communication system [2]. Heterogeneous network (HetNet) is an evolutionary path to the fifth generation communications [3]. HetNet uses the multiple radio access technologies. It support much more efficient resource utilization and meet the quality of service requirement. The objective of 5G network is to increased capacity, improved data rate, decreased latency and better quality of services with respect to 4G. The various challenges occur in 5G network is high traffic volume, intercell interference, increased small cell, improved energy consumption and massive connectivity. A. High traffic volumeThe future requirement is to increase 1000x data traffic for 2020 and beyond. B. Increased small cellThe majority of mobile traffic volume is make by small cell or hotspot. C. Intercell interferenceUltra-dense network is responsible for intercell interference. D. Massive connectivityHigher number of connected devices (50 billion connected device by 2020) are supported by internet of things (IoT) and machine to machine (M2M) communication E. Energy consumption 5G Green network is used to improved energy consumption.F. Increased data rate 10 to 100 times increased typical data rate.

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