activity
20132026
most citedAdaptive Sparse Channel Estimation for Time-Variant MISO Communication Systems

4 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2026

AoI-Driven Hierarchical Learning for Cooperative Resource Sharing in Multi-Operator UAV Networks

Atefeh Hajijamali Arani, Mahyar Shirvanimoghaddam, Abolfazl Mehbodniya +2

Uncrewed aerial vehicle (UAV)-assisted networks provide a versatile paradigm for on-demand connectivity. However, in multi-operator aerial networks (MOANs), the joint optimization…

cs.IT2016★ 4 cited

Online Ski Rental for ON/OFF Scheduling of Energy Harvesting Base Stations

Gilsoo Lee, Walid Saad, Mehdi Bennis +2

The co-existence of small cell base stations (SBSs) with conventional macrocell base station is a promising approach to boost the capacity and coverage of cellular networks. Howeve…

cs.NI2015

Decentralized Energy Allocation for Wireless Networks with Renewable Energy Powered Base Stations

Dapeng Li, Walid Saad, Ismail Guvenc +2

In this paper, a green wireless communication system in which base stations are powered by renewable energy sources is considered. This system consists of a capacity-constrained re…

cs.IT2013

Two are Better Than One: Adaptive Sparse System Identification using Affine Combination of Two Sparse Adaptive Filters

Guan Gui, Shinya Kumagai, Abolfazl Mehbodniya +1

Sparse system identification problems often exist in many applications, such as echo interference cancellation, sparse channel estimation, and adaptive beamforming. One of popular…

cs.IT2013★ 3 cited

Least Mean Square/Fourth Algorithm with Application to Sparse Channel Estimation

Guan Gui, Abolfazl Mehbodniya, Fumiyuki Adachi

Broadband signal transmission over frequency-selective fading channel often requires accurate channel state information at receiver. One of the most attracting adaptive channel est…

cs.IT2013★ 4 cited

Adaptive Sparse Channel Estimation for Time-Variant MISO Communication Systems

Guan Gui, Wei Peng, Abolfazl Mehbodniya +1

Channel estimation problem is one of the key technical issues in time-variant multiple-input single-output (MSIO) communication systems. To estimate the MISO channel, least mean sq…