Search Results - "Naderializadeh, Navid"

ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems by Naderializadeh, Navid, Avestimehr, Amir Salman

“…We consider the problem of spectrum sharing in device-to-device communication systems. Inspired by the recent optimality condition for treating interference as…”
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Contrastive Self-Supervised Learning for Wireless Power Control by Naderializadeh, Navid

“…We propose a new approach for power control in wireless networks using self-supervised learning. We partition a multi-layer perceptron that takes as input the…”
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Robust Stochastically-Descending Unrolled Networks by Hadou, Samar, NaderiAlizadeh, Navid, Ribeiro, Alejandro

“…Deep unrolling, or unfolding, is an emerging learning-to-optimize method that unrolls a truncated iterative algorithm in the layers of a trainable neural…”
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Learning Resilient Radio Resource Management Policies with Graph Neural Networks by NaderiAlizadeh, Navid, Eisen, Mark, Ribeiro, Alejandro

“…We consider the problems of user selection and power control in wireless interference networks, comprising multiple access points (APs) communicating with a…”
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Fundamental Limits of Cache-Aided Interference Management by Naderializadeh, Navid, Maddah-Ali, Mohammad Ali, Avestimehr, Amir Salman

“…We consider a system, comprising a library of N files (e.g., movies) and a wireless network with a K T transmitters, each equipped with a local cache of size…”
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State-Augmented Learnable Algorithms for Resource Management in Wireless Networks by NaderiAlizadeh, Navid, Eisen, Mark, Ribeiro, Alejandro

“…We consider resource management problems in multi-user wireless networks, which can be cast as optimizing a network-wide utility function, subject to…”
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Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems by Dong, Peihao, Zhang, Hua, Li, Geoffrey Ye, Gaspar, Ivan Simoes, NaderiAlizadeh, Navid

“…For millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, hybrid processing architecture is usually used to reduce the complexity and…”
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Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning by Naderializadeh, Navid, Sydir, Jaroslaw J., Simsek, Meryem, Nikopour, Hosein

“…We propose a mechanism for distributed resource management and interference mitigation in wireless networks using multi-agent deep reinforcement learning (RL)…”
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Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach by Naderializadeh, Navid, Hashemi, Morteza

“…We investigate the problem of computation offloading in a mobile edge computing architecture, where multiple energy-constrained users compete to offload their…”
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On the Optimality of Treating Interference as Noise by Chunhua Geng, Naderializadeh, Navid, Avestimehr, Amir Salman, Jafar, Syed A.

“…It is shown that in the K-user interference channel, if for each user the desired signal strength is no less than the sum of the strengths of the strongest…”
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State-Augmented Information Routing In Communication Systems With Graph Neural Networks by Das, Sourajit, NaderiAlizadeh, Navid, Ribeiro, Alejandro

“…We consider the problem of routing network packets in a large-scale communication system where the nodes have access to only local information. We formulate…”
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Adaptive Wireless Power Allocation with Graph Neural Networks by NaderiAlizadeh, Navid, Eisen, Mark, Ribeiro, Alejandro

“…We consider the problem of power control in wireless networks, consisting of multiple transmitter-receiver pairs communicating with each other over a single…”
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Cache-Aided Interference Management in Wireless Cellular Networks by Naderializadeh, Navid, Maddah-Ali, Mohammad Ali, Avestimehr, A. Salman

“…We consider the problem of interference management in wireless cellular networks with caches at both base stations and receivers, and we characterize the…”
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Interference Networks With no CSIT: Impact of Topology by Naderializadeh, Navid, Avestimehr, Amir Salman

“…We consider partially connected K -user interference networks, where the transmitters have no knowledge about the channel gain values, but they are aware of…”
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Topological Interference Management With Reconfigurable Antennas by Heecheol Yang, Naderializadeh, Navid, Avestimehr, A. Salman, Jungwoo Lee

“…We study the symmetric degrees-of-freedom (DoF) of partially connected interference networks under linear coding strategies without channel state information…”
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Monitoring Under-Modeled Rare Events for URLLC by Swamy, Vasuki Narasimha, Naderializadeh, Navid, Ekambaram, Venkatesan Nallampatti, Talwar, Shilpa, Sahai, Anant

“…Immersive and interactive applications that demand ultra-reliable low-latency communication (URLLC) are gaining traction, particularly in the latest 3GPP…”
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Learning to Code: Coded Caching via Deep Reinforcement Learning by Naderializadeh, Navid, Asghari, Seyed Mohammad

“…We consider a system comprising a file library and a network with a server and multiple users equipped with cache memories. The system operates in two phases:…”
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Deep CNN for Wideband Mmwave Massive Mimo Channel Estimation Using Frequency Correlation by Dong, Peihao, Zhang, Hua, Li, Geoffrey Ye, NaderiAlizadeh, Navid, Gaspar, Ivan Simoes

“…For millimeter wave (mmWave) systems with large-scale arrays, hybrid processing structure is usually used at both transmitters and receivers to reduce the…”
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Fundamental Limits of Non-Coherent Interference Alignment via Matroid Theory by Naderializadeh, Navid, El Gamal, Aly, Avestimehr, A. Salman

“…We consider the problem of non-coherent interference alignment, in which the goal is to align the signals of multiple interfering transmitters at a single…”
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Cache-aided interference management in wireless cellular networks by Naderializadeh, Navid, Maddah-Ali, Mohammad Ali, Avestimehr, A. Salman

“…We consider the problem of interference management in wireless cellular networks with caches at both base stations and receivers and we characterize the…”
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