Coverage and Rate Analysis in Heterogeneous Cloud Radio Access Networks With Device-to-Device Communication

Abana, Munzali Ahmed; Peng, Mugen; Olawoyin, Lukman A.

doi:10.1109/access.2016.2569591

Cited by 26 publications

(17 citation statements)

References 16 publications

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“…Suppose z is the sensing radius of D2D communication, the probability that the requesters can successfully sensing the file f within the communication range z is formulated as (2).…”

Section: Problem Formulationmentioning

confidence: 99%

“…With the popularity of intelligent electronic devices and the emergence of various applications, the explosive growth of mobile data traffic in recent years will reach the limit of current cellular network infrastructure. According to Cisco's latest Visual Networking Index (VNI) report, mobile video data traffic will account for 82% of the global mobile data traffic to 2021 [1], and the core network will be overloaded by 2025 [2]. The tremendous increase in video traffic has brought severe challenges to the 5th generation mobile networks.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy Efficiency for Data Offloading in D2D Cooperative Caching Networks

Wang

Zhang

et al. 2020

Wireless Communications and Mobile Computing

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D2D communication improves the cellular network performance by using proximity-based services between adjacent devices, which considered is an effective way to solve the problem of spectrum scarcity caused by tremendous mobile data traffic. If the cache-enabled users are willing to send the cached file to the requesters, the content delivery traffic can be offloaded through the D2D link. In this paper, we strive to find the maximum energy efficiency of the D2D caching network through the joint optimization of cache policy and content transmit power. Specifically, based on stochastic geometry-aided modeling of the network, we derive the data offloading rate in closed form, which jointly considers the effects of success sensing probability and success transmission probability. According to the data offloading rate, we formulate a joint optimization problem integrating cache policy and transmit power to maximize the system energy efficiency. To solve this problem, we propose two optimization algorithms that the cache policy optimization algorithm based on gradient update and the joint optimization algorithm. The simulation results demonstrate that the joint optimization has twice the superiority in improving the energy efficiency of the D2D caching network compared with other schemes.

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“…Suppose z is the sensing radius of D2D communication, the probability that the requesters can successfully sensing the file f within the communication range z is formulated as (2).…”

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy Efficiency for Data Offloading in D2D Cooperative Caching Networks

Wang

Zhang

et al. 2020

Wireless Communications and Mobile Computing

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“…Since in-band D2D communications underlaying C-RAN has combined the benefits of in-band D2D communications and C-RAN, lots of research efforts from industry and academia have been addressed to overcome the shortcomings brought by this combination in recent years. A Heterogeneous C-RAN (H-CRAN) with non-uniformly deployed D2D communication was studied in [20] to achieve lower average traffic delivery latency, where D2D links were only allocated outside a specified distance from any high power node. And the work in [21] integrated D2D communications with coordinated multi-point in C-RAN to improve the SE, where a distancebased mode selection rule for downlink users was adopted.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Resource Sharing Scheme With Out-Band D2D Relay-Aided Communications in C-RAN-Based Underlay Cellular Networks

Gui

Xiong

et al. 2019

IEEE Access

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Device-to-Device (D2D) communications and cloud radio access network (C-RAN) can improve Spectrum Efficiency (SE). However, extremely severe intra-cell interference and inter-cell interference hinder the improvement of energy efficiency (EE). In the existing typical work, a centralized interference mitigation algorithm is deployed in cellular infrastructure to try to eliminate these types of interferences. Although this method improves the quality of service, it hardly reduces the energy consumption of cellular user equipments (UEs). Moreover, it increases the energy consumption of cellular infrastructure. In this paper, we first introduce out-band D2D relays to assist the cellular communications, which can shorten the average transmission distance of cellular UEs and thus make them improve their EE and reduce the inter-cell interference for each other. Then, we propose an energy-efficient resource sharing scheme to determine channel selection and power allocation. Next, we formulate the resource sharing problem as the noncooperative game model, where each UE optimizes its EE respectively with the aid of the remote radio heads in C-RAN. Finally, in order to obtain the optimal EE of each UE, we let the non-concave optimization problem be transformed into the concave form by using constraint relaxation and nonlinear fractional programming and solve the transformed problem by Dinkelbach's method and the Lagrangian duality theory. The simulation results show that the SE and EE of cellular UEs can be improved by 64.63% and 24.97%, respectively when adopting the parameters with the best values in our relay selection strategies. INDEX TERMS Cloud radio access network, out-band D2D relay-aided communication, noncooperative game, resource sharing, energy efficiency.

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“…Algorithm 1 Evolution Algorithm 1: Initialize Each user selects to get access to a access mode in random. 2: Step 1 The payoff of users accessing i mode π (n) i is calculated according to (9). This payoff information is sent to the F-APs.…”

Section: Evolutionary Equilibrium and Stability Analysismentioning

confidence: 99%

“…The performance of uplink transmissions under different user access modes in C-RANs have been investigated in [8], and the impact of the remote radio heads (RRHs) intensity, the number of antennas and the pathloss exponent on the performance is characterized. By using the stochastic geometry tool, the authors in [9] have provided the probabilistic characterization of the signal interference ratio (SIR) distribution and the ergordic rate at a randomly located user in a downlink H-CRAN system. In [10], the successful access probability has been derived for C-RAN RRH cluster mode, and based on the analytical result, two coalition game based cluster algorithms have been designed.…”

Section: Introductionmentioning

confidence: 99%

An Evolutionary Game for User Access Mode Selection in Fog Radio Access Networks

et al. 2017

Self Cite

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The fog radio access network (F-RAN) is a promising paradigm for the fifth generation wireless communication systems to provide high spectral efficiency and energy efficiency. Characterizing users to select an appropriate communication mode among fog access point (F-AP), and device-to-device (D2D) in F-RANs is critical for performance optimization. Using evolutionary game theory, we investigate the dynamics of user access mode selection in F-RANs. Specifically, the competition among groups of potential users space is formulated as a dynamic evolutionary game, and the evolutionary equilibrium is the solution to this game. Stochastic geometry tool is used to derive the proposals' payoff expressions for both F-AP and D2D users by taking into account the different nodes locations, cache sizes as well as the delay cost. The analytical results obtained from the game model are evaluated via simulations, which show that the evolutionary game based access mode selection algorithm can reach a much higher payoff than the max rate based algorithm.

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Coverage and Rate Analysis in Heterogeneous Cloud Radio Access Networks With Device-to-Device Communication

Cited by 26 publications

References 16 publications

Energy Efficiency for Data Offloading in D2D Cooperative Caching Networks

Energy Efficiency for Data Offloading in D2D Cooperative Caching Networks

Energy-Efficient Resource Sharing Scheme With Out-Band D2D Relay-Aided Communications in C-RAN-Based Underlay Cellular Networks

An Evolutionary Game for User Access Mode Selection in Fog Radio Access Networks

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