activity
20132026
most citedDeep CNN-Based Channel Estimation for mmWave Massive MIMO Systems

452 citations · 818 across the 40 of their papers we have counts for

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Showing cs.ITShow all

11 papers · 1 filter

cs.IT2020★ 5 cited

On the Communication Latency of Wireless Decentralized Learning

Navid Naderializadeh

We consider a wireless network comprising nodes located within a circular area of radius , which are participating in a decentralized learning algorithm to optimize a global…

cs.IT2019

Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach

Navid Naderializadeh, Morteza Hashemi

We investigate the problem of computation offloading in a mobile edge computing architecture, where multiple energy-constrained users compete to offload their computational tasks t…

cs.IT2019

Learning to Code: Coded Caching via Deep Reinforcement Learning

Navid Naderializadeh, Seyed Mohammad Asghari

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: a prefetching phase,…

cs.IT2019★ 452 cited

Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems

Peihao Dong, Hua Zhang, Geoffrey Ye Li +2

For millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, hybrid processing architecture is usually used to reduce the complexity and cost, which poses a…

cs.IT2017★ 4 cited

On the Optimality of Separation between Caching and Delivery in General Cache Networks

Navid Naderializadeh, Mohammad Ali Maddah-Ali, A. Salman Avestimehr

We consider a system, containing a library of multiple files and a general memoryless communication network through which a server is connected to multiple users, each equipped wit…

cs.IT2016★ 4 cited

Topological Interference Management with Reconfigurable Antennas

Heecheol Yang, Navid Naderializadeh, Amir Salman Avestimehr +1

We study the symmetric degrees-of-freedom (DoF) of partially connected interference networks under linear coding strategies at transmitters without channel state information beyond…

cs.IT2016★ 35 cited

Fundamental Limits of Cache-Aided Interference Management

Navid Naderializadeh, Mohammad Ali Maddah-Ali, A. Salman Avestimehr

We consider a system comprising a library of files (e.g., movies) and a wireless network with transmitters, each equipped with a local cache of size of files, and $…

cs.IT2015★ 1 cited

Topological Interference Management with just Retransmission: What are the "Best" Topologies?

Navid Naderializadeh, Aly El Gamal, A. Salman Avestimehr

We study the problem of interference management in fast fading wireless networks, in which the transmitters are only aware of network topology. We consider a class of retransmissio…

cs.IT2013★ 2 cited

ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems

Navid Naderializadeh, A. Salman Avestimehr

We consider the problem of spectrum sharing in device-to-device communication systems. Inspired by the recent optimality condition for treating interference as noise, we define a n…

cs.IT2013★ 18 cited

On the Optimality of Treating Interference as Noise

Chunhua Geng, Navid Naderializadeh, A. Salman Avestimehr +1

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 interference from this u…

cs.IT2013★ 9 cited

Interference Networks with No CSIT: Impact of Topology

Navid Naderializadeh, A. Salman Avestimehr

We consider partially-connected -user interference networks, where the transmitters have no knowledge about the channel gain values, but they are aware of network topology (or c…