Capacity Analysis of Joint Transmission CoMP With Adaptive Modulation

Cui, Qimei; Song, Hengguo; Wang, Hui; Valkama, Mikko; Dowhuszko, Alexis A.

doi:10.1109/tvt.2016.2564106

Cited by 37 publications

(25 citation statements)

References 12 publications

(12 reference statements)

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“…The full interference model means that the interference for n-th UE comes from all SBSs except the n-th SBS. The analytical results of the queue-violation probability are obtained by (9), (15), (16) and (28). As traffic increases, the the queue-violation probability also increases.…”

Section: Simulation Resultsmentioning

confidence: 99%

Effective Capacity Analysis in Ultra-Dense Wireless Networks With Random Interference

Gü¹,

Cui²,

Chen³

et al. 2018

IEEE Access

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Ultra-dense networks (UDNs) provide a promising paradigm to cope with exponentially increasing mobile traffic. However, little work has to date considered unsaturated traffic with quality-of-service (QoS) requirements. This paper presents a new cross-layer analytical model to capture the unsaturated traffic of a UDN in the presence of QoS requirements. The effective capacity (EC) of the UDN is derived, taking into account small-scale channel fading and possible interference. Key properties of the EC are revealed. The amount of traffic impacts effective capacity of the UDN due to the sophisticated interactions among small base stations operating in the same frequency. The maximization of total effective capacity is formulated as a noncooperative game in the paper. The best-response function is derived , iteratively searching the Nash equilibrium point. System simulation results indicate that our proposed model is accurate. The simulations also show the maximum allowed arrival rate with the QoS guarantee, compared with the full interference model.Index Terms-Effective capacity, QoS, unsaturated traffic, ultra-dense network (UDN).

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Section: Simulation Resultsmentioning

confidence: 99%

Effective Capacity Analysis in Ultra-Dense Wireless Networks With Random Interference

Gü¹,

Cui²,

Chen³

et al. 2018

IEEE Access

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“…There are mainly three types of CoMP techniques: coordinated beamforming (CB), coordinated scheduling (CS), and joint transmission (JT). Among these CoMP techniques, the JT-CoMP technique offers the highest performance gains by fully sharing both data and control information among the coordinated base stations (BSs) [3]. However, implementing JT-CoMP faces several critical challenges in practical 5G small cell networks.…”

Section: Introductionmentioning

confidence: 99%

“…The results indicated that these three JT-CoMP schemes had pros and cons in different aspects. An analytical model was proposed to perform adaptive modulation for a typical JT-CoMP system consisting of three transmission points [3]. The closed-form expressions for the average spectral efficiency were obtained when adopting continuous-rate adaptive mod-ulation.…”

Section: Introductionmentioning

confidence: 99%

A Novel JT-CoMP Scheme in 5G Fractal Small Cell Networks

Chen

Zhong

et al. 2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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To satisfy the requirement of the fifth generation (5G) mobile communications that offers an ultra high data rate of 100Mbps to 1Gbps anytime and anywhere, the coordinated multipoint (CoMP) technique is proposed to mitigate intercell interference to improve the coverage of high data rate services, cell-edge throughput, and system capacity. However, the joint transmission (JT) CoMP technique is difficult to be applied in practice due to the critical time synchronization for multiple coordination links and the bottleneck of backhaul capacity and radio resource at each small cell base stations (SBSs). Moreover, since the coordination SBSs in the conditional scheme are entirely separate from each other, different time of arrivals at the user cause the severe time synchronization problem. The anisotropic propagation environment in the urban scenario makes the implementation condition even worse. To tackle these issues, we propose a novel JT-CoMP scheme with the anisotropic path loss model to minimize the network backhaul traffic subject to the constraints on the radio resource and the differences in time of arrivals. Simulation results demonstrate that the proposed distance-resource-limited CoMP scheme can obtain the maximum achievable rate with the minimum network backhaul traffic, compared with existing schemes.

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“…Due to the explosive growth of mobile data stemming from the increasingly prevalence of smart handset devices, the scarcity of spectrum is becoming the bottleneck to boost more capacity of wireless communication [1]. To improve the system capacity, a common trend has emerged with deploying additional low power nodes (LPNs, such as smallcells, femtocells), and improving the spectral utilization, such as Coordinated Multipoint (CoMP) [2]. To fundamentally break through this predicament, an emerging technology using the unlicensed spectrum, called licensed-assisted access (LAA), has been launched into the standardization by Third Generation Partnership Project (3GPP) [3].…”

Section: Introductionmentioning

confidence: 99%

Energy-Aware Adaptive Spectrum Access and Power Allocation in LAA Networks via Lyapunov Optimization

Gü

Cui

Wang

et al. 2017

2017 IEEE 85th Vehicular Technology Conference (VTC Spring)

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To relieve the traffic burden and improve the system capacity, licensed-assisted access (LAA) has been becoming a promising technology to the supplementary utilization of the unlicensed spectrum. However, due to the densification of small base stations (SBSs) and the dynamic variety of the number of Wi-Fi nodes in the overlapping areas, the licensed channel interference and the unlicensed channel collision could seriously influence the Quality of Service (QoS) and the energy consumption. In this paper, jointly considering time-variant wireless channel conditions, dynamic traffic loads, and random numbers of Wi-Fi nodes, we address an adaptive spectrum access and power allocation problem that enables minimizing the system power consumption under a certain queue stability constraint in the LAA-enabled SBSs and Wi-Fi networks. The complex stochastic optimization problem is rewritten as the difference of two convex (D.C.) program in the framework of Lyapunov optimization, thus developing an online energy-aware optimal algorithm. We also characterize the performance bounds of the proposed algorithm with a tradeoff of [O(1/V ), O(V )] between power consumption and delay theoretically. The numerical results verify the tradeoff and show that our scheme can reduce the power consumption over the existing scheme by up to 72.1% under the same traffic delay. LWA SBS Wi-Fi APs SBS userChannel on unlicensed band Channel on licensed band Interference on licensed bandMacrocell BS Marcocell user

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Capacity Analysis of Joint Transmission CoMP With Adaptive Modulation

Cited by 37 publications

References 12 publications

Effective Capacity Analysis in Ultra-Dense Wireless Networks With Random Interference

Effective Capacity Analysis in Ultra-Dense Wireless Networks With Random Interference

A Novel JT-CoMP Scheme in 5G Fractal Small Cell Networks

Energy-Aware Adaptive Spectrum Access and Power Allocation in LAA Networks via Lyapunov Optimization

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