On the effects of pilot-aided channel estimation on the capacity of QoS-aware heterogeneous OFDMA networks

Ortega, Andrés; Negrini, Stefano; Tralli, V.

doi:10.1109/micc.2017.8311775

Cited by 2 publications

(2 citation statements)

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“…The simulations are carried out considering the downlink of a two-tier HetNet with system parameters defined as in Table 2. To set up the parameters, 4G numerology is considered, as in [33]. The length of the RA frame is arbitrarily chosen to three slots.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…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. However, the RA issues have not been addressed in this work.…”

Section: Related Workmentioning

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: Simulation Resultsmentioning

confidence: 99%