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20052026
most citedMultiuser MIMO Achievable Rates with Downlink Training and Channel State Feedback

537 citations · 5.2k across the 258 of their papers we have counts for

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Showing 2015 · cs.ITShow all

15 papers · 2 filters

cs.IT2015★ 299 cited

A Rate Splitting Strategy for Massive MIMO with Imperfect CSIT

Mingbo Dai, Bruno Clerckx, David Gesbert +1

In a multiuser MIMO broadcast channel, the rate performance is affected by the multiuser interference when the Channel State Information at the Transmitter (CSIT) is imperfect. To…

cs.IT2015★ 13 cited

Caching-Aided Coded Multicasting with Multiple Random Requests

Mingyue Ji, Antonia Tulino, Jaime Llorca +1

The capacity of caching networks has received considerable attention in the past few years. A particularly studied setting is the shared link caching network, in which a single sou…

cs.IT2015

An Efficient Multiple-Groupcast Coded Multicasting Scheme for Finite Fractional Caching

Mingyue Ji, Karthikeyan Shanmugam, Giuseppe Vettigli +3

Coded multicasting has been shown to improve the caching performance of content delivery networks with multiple caches downstream of a common multicast link. However, the schemes t…

cs.IT2015★ 42 cited

Wireless Multihop Device-to-Device Caching Networks

Sang-Woon Jeon, Song-Nam Hong, Mingyue Ji +2

We consider a wireless device-to-device (D2D) network where nodes are uniformly distributed at random over the network area. We let each node with storage capacity cache fi…

cs.IT2015★ 2 cited

An Active-Sensing Approach to Channel Vector Subspace Estimation in mm-Wave Massive MIMO Systems

Saeid Haghighatshoar, Giuseppe Caire

Millimeter-wave (mm-Wave) cellular systems are a promising option for a very high data rate communication because of the large bandwidth available at mm-Wave frequencies. Due to th…

cs.IT2015

Cooperation Alignment for Distributed Interference Management

Vasilis Ntranos, Mohammad Ali Maddah-Ali, Giuseppe Caire

We consider a cooperative Gaussian interference channel in which each receiver must decode its intended message locally, with the help of cooperation either at the receivers side o…

cs.IT2015★ 9 cited

Channel Vector Subspace Estimation from Low-Dimensional Projections

Saeid Haghighatshoar, Giuseppe Caire

Massive MIMO is a variant of multiuser MIMO where the number of base-station antennas is very large (typically 100), and generally much larger than the number of spatially mult…

cs.IT2015

Secret key-based Identification and Authentication with a Privacy Constraint

Kittipong Kittichokechai, Giuseppe Caire

We consider the problem of identification and authentication based on secret key generation from some user-generated source data (e.g., a biometric source). The goal is to reliably…

cs.IT2015★ 7 cited

A Hierarchical Rate Splitting Strategy for FDD Massive MIMO under Imperfect CSIT

Mingbo Dai, Bruno Clerckx, David Gesbert +1

In a multiuser MIMO broadcast channel, the rate performance is affected by the multiuser interference when the Channel State Information at the Transmitter (CSIT) is imperfect. To…

cs.IT2015★ 2 cited

Secure Massive MIMO Transmission with an Active Eavesdropper

Yongpeng Wu, Robert Schober, Derrick Wing Kwan Ng +2

In this paper, we investigate secure and reliable transmission strategies for multi-cell multi-user massive multiple-input multiple-output (MIMO) systems with a multi-antenna activ…

cs.IT2015★ 71 cited

On the Role of Transmit Correlation Diversity in Multiuser MIMO Systems

Junyoung Nam, Giuseppe Caire, Young-Jo Ko +1

Correlation across transmit antennas, in multiple antenna systems (MIMO), has been studied in various scenarios and has been shown to be detrimental or provide benefits depending o…

cs.IT2015★ 4 cited

Secure Massive MIMO Transmission in the Presence of an Active Eavesdropper

Yongpeng Wu, Robert Schober, Derrick Wing Kwan Ng +2

In this paper, we investigate secure and reliable transmission strategies for multi-cell multi-user massive multiple-input multiple-output (MIMO) systems in the presence of an acti…

cs.IT2015★ 60 cited

Expanding the Compute-and-Forward Framework: Unequal Powers, Signal Levels, and Multiple Linear Combinations

Bobak Nazer, Viveck Cadambe, Vasilis Ntranos +1

The compute-and-forward framework permits each receiver in a Gaussian network to directly decode a linear combination of the transmitted messages. The resulting linear combinations…

cs.IT2015

Optimality of Treating Interference as Noise: A Combinatorial Perspective

Xinping Yi, Giuseppe Caire

For single-antenna Gaussian interference channels, we re-formulate the problem of determining the Generalized Degrees of Freedom (GDoF) region achievable by treating interference a…

cs.IT2015★ 62 cited

Order-Optimal Rate of Caching and Coded Multicasting with Random Demands

Mingyue Ji, Antonia M. Tulino, Jaime Llorca +1

We consider the canonical {\em shared link network} formed by a source node, hosting a library of information messages (files), connected via a noiseless common link to des…