Optimal Power Allocation for Multiple D2D Users in HetNets with Channel Estimation Error

Maher, Engy Aly; El-Mahdy, Ahmed

doi:10.1109/wcnc.2019.8885498

Cited by 3 publications

(6 citation statements)

References 17 publications

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Section: Related Workmentioning

confidence: 99%

“…A two-tier HetNet with underlay D2D communications has been investigated in [12,15], and power control algorithms have been derived by taking channel estimation error into account. In [12], optimal power is derived using a primal-dual optimization method to maximize the SINR of D2D links while maintaining a minimum required QoS, whereas in [15], both centralized and distributed methods are considered to maximize coverage probability. A two-tier Hetnet with femtocells is investigated in [33], where the effects of pilot-aided channel estimation have been considered in the design of admission control, which reduces the number of admitted users in order to satisfy the QoS constraints.…”

Section: Related Workmentioning

confidence: 99%

“…In problem (12), the constraints b, c and d are related to the allocation variables: each subchannel can be allocated to no more than one CU and one SU. The constraints e and f are related to the allocated powers: their sum cannot exceed the power budget P c T (per frame) at each BS or AP.…”

Section: Resource Allocationmentioning

confidence: 99%

“…The power allocation algorithm is derived by assuming that subchannel allocation, identified by the set A = {a * cus }, is the result of Algorithm 1. By considering the general problem in (12), the power allocation problem can be formulated as max…”

Section: Power Allocation Algorithmmentioning

confidence: 99%

“…In most research work, the performance of HetNets has been investigated with the assumption of a perfect knowledge of the wireless channel at the receivers and at the resource allocation unit of the network. However, in practical implementations, the channel of each wireless link is estimated through some specific techniques, e.g., pilot-aided channel estimation, that introduce some overhead in the transmission and also a channel estimation error that degrades the performance of each link in terms of the achievable rate [10][11][12][13][14][15]. Moreover, if the resource allocation algorithms do not properly take into account such performance degradation, they may fail to optimize the network throughput and to provide a fair QoS to all the users.…”

Section: Introductionmentioning

confidence: 99%

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QoS-Aware Resource Allocation with Pilot-Aided Channel Estimation for Heterogeneous Wireless Networks

Ortega

Tralli

2022

Sensors

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The deployment of heterogeneous networks (HetNets) is a way to increase the network capacity and release part of the traffic generated by users inside a cell to small-scale wireless networks for service. In this context, the main problem is managing the interference due to the coexistence of small cells and macro cells. In this paper, a QoS-aware Resource Allocation (RA) algorithm jointly working with admission control (AC) over a two-tier HetNet scenario is investigated in the presence of both the pilot-symbols for channel estimation and the channel estimation error. The RA algorithm allows two users, the macro cell user (CU) and small cell user (SU), to simultaneously share the same resource block. Moreover, system performance and fairness are improved by including adaptive power allocation to users over resource blocks. In the framework of RA with proportional rate constraints, a novel algorithm is designed by including the effects of pilot-aided channel estimation. The algorithm is able to distribute the same proportional rate to all CUs and SUs, even in the presence of channel estimation error. Relevant numerical results for the downlink of a two-tier HetNet with pilot-aided channel estimation show that the rate dispersion is driven to zero while the sum-rate is maximized, and the average user rate penalty with respect to a perfect-CSI scenario may rise to 20%.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Resource Allocationmentioning

confidence: 99%

Section: Power Allocation Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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QoS-Aware Resource Allocation with Pilot-Aided Channel Estimation for Heterogeneous Wireless Networks

Ortega

Tralli

2022

Sensors

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A New Adaptive Power Control Based on LEACH Clustering Protocol for Interference Management in Cooperative D2D Systems

et al. 2022

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The cooperative device-to-device (D2D) system is becoming one of the most popular communication models in wireless 5G technology that combines the D2D system with cooperative communication to extend coverage and increase system performance. However, interference is one of the factors of decreasing service quality in cooperative D2D systems because of adjacent users/clusters and excessive power usage, which also causes interference to the receiver. Interference management, such as power control, can overcome interference problems in the cooperative D2D communication system. Therefore, this paper proposes a new form of adaptive power control (APC) based on the low-energy adaptive clustering hierarchy (LEACH) protocol for interference management systems in cooperative D2D systems that other studies have not considered. For a fair comparison, this paper also modifies the conventional fixed power control (FPC) method using the LEACH protocol and the modified fixed power control (MFPC) used in the previous study and then considers the system without power control. The simulation results show that the proposed APC can significantly reduce interference in cooperative D2D communication compared to the MFPC and without power control. Moreover, the simulation results also show that concerning the signal-to-interference and noise ratio (SINR) to the outage probability and throughput, the proposed APC performs better than the MFPC and without power control. Thus, the proposed APC can effectively reduce interference in cooperative D2D systems.

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Full Duplex Relaying with Co-Channel Interference and Channel Estimation Error

Maher

El-Bakly

El-Mahdy

2019

2019 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)

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Optimal Power Allocation for Multiple D2D Users in HetNets with Channel Estimation Error

Cited by 3 publications

References 17 publications

QoS-Aware Resource Allocation with Pilot-Aided Channel Estimation for Heterogeneous Wireless Networks

QoS-Aware Resource Allocation with Pilot-Aided Channel Estimation for Heterogeneous Wireless Networks

A New Adaptive Power Control Based on LEACH Clustering Protocol for Interference Management in Cooperative D2D Systems

Full Duplex Relaying with Co-Channel Interference and Channel Estimation Error

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