Proportional Selection of Mobile Relays in Millimeter-Wave Heterogeneous Networks

Thi, Minh-Thuyen; Huynh, Thong; Hwang, Won-Joo

doi:10.1109/access.2018.2812736

Cited by 7 publications

(4 citation statements)

References 28 publications

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“…The most widely studied problem in 2-hop relaying for device-to-device outdoor communication is relay selection, i.e., determining the minimum number of deployed relays [25],and/or best relay configuration, in order to optimize the quality of communication [8], [26]- [29]. Typically, relay selection requires instantaneous Channel State Information (CSI) between the source and relays, and the relays and destination.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Beamforming With Predictive Relay Selection for Urban mmWave Communications

2019

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While millimeter wave (mmWave) communications promise high data rates, their sensitivity to blockage and severe signal attenuation presents challenges in their deployment in urban settings. To overcome these effects, we consider a distributed cooperative beamforming system, which relies on static relays deployed in clusters with similar channel characteristics, and where, at every time instance, only one relay from each cluster is selected to participate in beamforming to the destination. To meet the quality-of-service guarantees of the network, a key prerequisite for beamforming is relay selection. However, as the channels change with time, relay selection becomes a resource demanding task. Indeed, estimation of channel state information for all candidate relays, essential for relay selection, is a process that takes up bandwidth, wastes power and introduces latency and interference in the network. We instead propose a unique, predictive scheme for resource efficient relay selection, which exploits the special propagation patterns of the mmWave medium, and can be executed distributively across clusters, and in parallel to optimal beamforming-based communication. The proposed predictive scheme efficiently exploits spatiotemporal channel correlations with current and past networkwide Received Signal Strength (RSS), the latter being invariant to relay cluster size, measured sequentially during the operation of the system. Our numerical results confirm that our proposed relay selection strategy outperforms any randomized selection policy that does not exploit channel correlations, whereas, at the same time, it performs very close to an ideal scheme that uses complete, cluster size dependent RSS, and offers significant savings in terms of channel estimation overhead, providing substantially better network utilization, especially in dense topologies, typical in mmWave networks.Index Terms-mmWave, cooperative relay beamforming, relay selection, 2-hop relaying, mmWave channel modeling, Vehicle-to-Infrastructure.

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Section: Introductionmentioning

confidence: 99%

Cooperative Beamforming With Predictive Relay Selection for Urban mmWave Communications

2019

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“…Results show that deployment of relays in mmWave increases the coverage probability and transmission capacity of the network. Mobile relay selection is studied for a mmwave heterogeneous cellular network in [19]. Authors in [19] proposed a proportional switching algorithm that switches between mobile relays based on a coalition game.…”

Section: Introductionmentioning

confidence: 99%

“…Mobile relay selection is studied for a mmwave heterogeneous cellular network in [19]. Authors in [19] proposed a proportional switching algorithm that switches between mobile relays based on a coalition game. The coverage probability and transmission capacity of the system is enhanced with the use of relay.…”

Section: Introductionmentioning

confidence: 99%

Joint Relay-Spectrum Selection in Hybrid Millimeter-Microwave Cooperative (HMMC) Network Using Fall-Back Approach

et al. 2019

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The microwave (µWave) spectrum or low-frequency spectrum has become overcrowded due to the ever-increasing demand in bandwidth-intensive applications, such as video streaming and gaming. Owing to the fact that the spectral efficiency of µWave links is approaching its fundamental limits, there is a growing consensus in both industry and academia that millimeter wave (mmWave) will play an important role in increasing data rate and scarcity of spectrum. To redress the predicament and to ensure adequate availability of bandwidth, increasing attentions have been paid to the use of mmWave spectrum for future broadband wireless networks. The mmWave spectrum offers wider bandwidth compared to the µWave spectrum and a promising solution to overcome the scarcity of spectrum while providing gigabits per second (Gb/s) of data rates. To fully exploit the high potential rates of mmWave in mobile networks, a number of technical problems must be addressed. The mmWave signal transmission suffers from the issues of blockage and deafness. The former challenge is characterized by the loss of Quality of Service (QoS) in non-line-of-sight (NLOS) conditions, while the latter is characterized by the misalignment between the main lobe of transmitter and the receiver beam. Two strategies can be adopted to deal with the issues:1) relaying, use of another path with the help of relay(s) providing line-of-sight (LOS) link(s) and b) fall back, in the case of service interruption, switch back to the µWave spectrum-based transmission switching between mmWave and µWave frequency bands can support higher rates and QoS requirements. However, a tradeoff exists in employing any of the aforementioned strategies. In this paper, we study the joint spectrum allocation and relay selection problem to maximize the weighted sum rate relay selection (using resource block and time slot) along with a fallback approach for spectrum allocation in an HMMC network. A fallback approach is introduced to enable the hybrid transmission of µWave and mmWave, and an iterative bipartite relay-spectrum selection algorithm is proposed to solve the problem. The performance evaluation results show that the proposed fallback approach outperforms the conventional µWave or mmWave transmission schemes in terms of data rate, transmit power, and the number of users.

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“…Mobile relaying refers to helping source node to transmit data to other nodes, thus assisting the communication between a source and multiple destinations/users. However, it is important to intelligently select the optimal and reasonable relay [4] [5] to fully benefit from cooperative communication in terms of higher transmission data rate and lower outage probability. Also, frequent relay switching can be avoided [7].…”

Section: Introductionmentioning

confidence: 99%

A Quitting Game Framework for Self-Organized D2D Mobile Relaying in 5G

Driouech

Sabir

Bennis

et al. 2018

2018 IEEE Global Communications Conference (GLOBECOM)

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Offloading the network, minimizing the power consumption as well as reducing interference are important issues in wireless networks. These requirements mandate that future cellular networks need to use Deviceto-Device communication as a key enabler. To harness this solution, we propose a two-device system that combines cellular and Device-to-Device (D2D) communication in an uplink communication. We model this system as a quitting game where devices choose simultaneously either to continue or to quit transmitting over the cellular network. The devices will strategically choose whether to compete or to cooperate through mobile relaying. We first calculate the throughput and the outage probability in a fading channel. Then we find the Sub-game Perfect Equilibrium of this game by determining the pure and mixed Nash equilibrium of each subgame. Results show that the outage probability depends on the transmission power and the distance separating a device from its serving BS. The quitting decision of devices depends on the fraction of throughput they would get after quitting, on the quitting frame and on the quitting regret.

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Proportional Selection of Mobile Relays in Millimeter-Wave Heterogeneous Networks

Cited by 7 publications

References 28 publications

Cooperative Beamforming With Predictive Relay Selection for Urban mmWave Communications

Cooperative Beamforming With Predictive Relay Selection for Urban mmWave Communications

Joint Relay-Spectrum Selection in Hybrid Millimeter-Microwave Cooperative (HMMC) Network Using Fall-Back Approach

A Quitting Game Framework for Self-Organized D2D Mobile Relaying in 5G

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