Approximate Distributions of the Residual Self-Interference Power in Multi-Tap Full-Duplex Systems

Irio, Luis; Oliveira, Rodolfo; Costa, Daniel Benevides da

doi:10.1109/lwc.2020.3042754

Cited by 11 publications

(7 citation statements)

References 13 publications

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“…where k o and θ o are the shape and scale parameters. The Gamma distribution can effectively approximate the stochastic power fading when there is no line-of-sight (LoS) as in the Rayleigh fading channel [25], or the LoS link as in the Rician fading channel [33]. The assumption of small-scale fading is of particular interest when directional beamforming is not implemented with a high number of antennas and the channel hardening condition [34] does not hold, but the proposed model can also accommodate channel hardening by considering deterministic channels.…”

Section: ) Characterization Of Random Variable Yimentioning

confidence: 99%

“…If X ∼ Rice(ν, σ), then ( X σ ) 2 is a non-central Chi-squared distributed with non-centrality parameter ( ν σ ) 2 and two degrees of freedom. Consequently, the Gamma distribution [33] can be used to approximate Ψ Rice i using moment matching as follows…”

Section: ) Characterization Of Random Variable Yimentioning

confidence: 99%

“…where M x are the raw-moments of I agg , obtained from (30), i.e., M x = E[I x agg ] = d x ds x M Iagg (s)| s=0 . The first equation in (33) can be numerically solved using MATHEMATICA with the FindRoot command line or using MATLAB with the vpasolve command line in an efficient and straightforward manner to obtain γ.…”

Section: Volume X 20xxmentioning

confidence: 99%

“…1) Moments Based (MB) Estimator : The MB estimator is based on solving the set of equations established in (33) by computing the raw-moments from the collected set of samples represented by…”

Section: Aggregate Interference Estimationmentioning

confidence: 99%

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Interference Distribution for Directional Beamforming Mobile Networks

Oliveira

2022

IEEE Access

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In this paper, we model the aggregate interference power in directional beamforming mobile networks. The work considers the random waypoint model to describe the mobility of the nodes and adopts directional beamforming for communication. The major contribution of this paper is the statistical characterization of the aggregate interference caused by directional beamforming transmissions of mobile interferers to a given node positioned at a reference point. The analysis assumes Rayleigh and Rician smallscale fading channels, a distance-based path-loss large-scale fading model, and a three gain levels sectored antenna model. The quality of the proposed approximations has been confirmed through various simulations for different mobility scenarios, channel conditions, and beamforming parameters, highlighting the effect of directional communication along with mobility on the aggregate interference. To demonstrate the practical application of the work, we use two different estimators for the interference characterization. The results confirm the effectiveness of the estimators even when adopting a small set of samples.

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Section: ) Characterization Of Random Variable Yimentioning

confidence: 99%

Section: ) Characterization Of Random Variable Yimentioning

confidence: 99%

Section: Volume X 20xxmentioning

confidence: 99%

Section: Aggregate Interference Estimationmentioning

confidence: 99%

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Interference Distribution for Directional Beamforming Mobile Networks

Oliveira

2022

IEEE Access

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“…The authors adopted a narrowband signal model to characterize the residual SI power, i.e., it is assumed that the signal time is less than the coherence time of the channel. The similarity of the residual SI distribution with known distributions was analyzed [11], and a closed-form approximation was presented in [12] and [13]. The estimation of the channel with a single tap delay was studied in [14].…”

Section: Introductionmentioning

confidence: 99%

Interference Power Characterization in Directional Networks and Full-Duplex Systems

Oliveira

Irio

2021

IFIP Advances in Information and Communication Technology

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This paper characterizes the aggregate interference power considering both directional millimeter-wave (mmWave) and In-Band Full-Duplex (IBFDX) communications. The considered scenario admits random locations of the interferers. The analysis considers a general distance-based path loss with a sectored antenna model. The interference caused to a single node also takes into account the residual self-interference due to IBFDX operation. The main contribution of the paper is the characterization of the interference caused by both transmitting nodes and full-duplex operation for different parameters and scenarios.

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Optimal Power Allocation With Multiple Joint Associations in Multi-User MIMO Full-Duplex Systems

Pan

Zhou

2023

IEEE Access

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Optimum power allocation is an effective way to mitigate residual self-interference and interuser interference in multiple input multiple output full-duplex (FD) systems. However, current research mainly considers parts of influencing factors and sets service models fixed. Given this, we comprehensively focus on three perspectives in a novel power allocation method, which involve the muting management (MM) and the assignment of both base station antennas and subcarriers in the FD system. Then, we formulate an optimization problem to maximize the total spectrum efficiency. According to the categories of variables in the nonconvex objective function, we first propose a hierarchical algorithm, which is decomposed into the first-order Taylor approximation (FOTA) method and the greedy algorithm. The continuous and discrete variables related subproblems are solved through FOTA and greedy algorithm, respectively. Among them, the greedy algorithm is an alternative to a traditional method of exhaustive search. Considering the high complexity of the greedy algorithm, we further introduce deep reinforcement learning (DRL) instead to solve the corresponding subproblem. Thus, two Double Deep Q-learning Networks are constructed to train the samples in each sub-slot. Simulation results validate that the hybrid DRL-convex method outperforms the hybrid greedy-convex method. Meanwhile, the MM introduced scheme's performance gain is more evident than that of the method without MM in many scenarios.INDEX TERMS full-duplex (FD), power allocation, spectrum efficiency (SE), smart antennas, muting management (MM), subcarrier assignment, deep reinforcement learning (DRL), jamming user (JU).

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Approximate Distributions of the Residual Self-Interference Power in Multi-Tap Full-Duplex Systems

Cited by 11 publications

References 13 publications

Interference Distribution for Directional Beamforming Mobile Networks

Interference Distribution for Directional Beamforming Mobile Networks

Interference Power Characterization in Directional Networks and Full-Duplex Systems

Optimal Power Allocation With Multiple Joint Associations in Multi-User MIMO Full-Duplex Systems

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