| Nome |
# |
|
Cell-Free versus Cellular Massive MIMO: What Processing is Needed for Cell-Free to Win?, file e0d6c932-1971-fcf8-e053-d805fe0aa794
|
601
|
|
Massive MIMO is a reality - What is next? Five promising research directions for antenna arrays, file e0d6c92e-3f5d-fcf8-e053-d805fe0aa794
|
494
|
|
null, file e0d6c927-29b8-fcf8-e053-d805fe0aa794
|
455
|
|
Energy-Efficient Power Control: A Look at 5G Wireless Technologies, file e0d6c927-366c-fcf8-e053-d805fe0aa794
|
376
|
|
Reducing the computational complexity of multicasting in large-scale antenna systems, file e0d6c92a-0768-fcf8-e053-d805fe0aa794
|
240
|
|
Understanding Game Theory via Wireless Power Control [Lecture Notes], file e0d6c926-984d-fcf8-e053-d805fe0aa794
|
174
|
|
null, file e0d6c92f-f6f8-fcf8-e053-d805fe0aa794
|
170
|
|
Optimal design of wireless networks for broadband access with minimum power consumption, file e0d6c928-c535-fcf8-e053-d805fe0aa794
|
165
|
|
Convex Separable Problems With Linear Constraints in Signal Processing and Communications, file e0d6c929-f2a4-fcf8-e053-d805fe0aa794
|
156
|
|
null, file e0d6c928-c0f1-fcf8-e053-d805fe0aa794
|
148
|
|
Game Theory for Networks: A tutorial on game-theoretic tools for emerging signal processing applications, file e0d6c930-09b0-fcf8-e053-d805fe0aa794
|
148
|
|
null, file e0d6c928-b8e8-fcf8-e053-d805fe0aa794
|
146
|
|
null, file e0d6c92f-f09e-fcf8-e053-d805fe0aa794
|
131
|
|
On the Design of Amplify-and-Forward MIMO-OFDM Relay Systems with QoS Requirements Specified as Schur-convex Functions of the MSEs, file e0d6c92d-7f21-fcf8-e053-d805fe0aa794
|
126
|
|
Random access in massive MIMO by exploiting timing offsets and excess antennas, file e0d6c92b-96c2-fcf8-e053-d805fe0aa794
|
123
|
|
Deploying Dense Networks for Maximal Energy Efficiency: Small Cells Meet Massive MIMO, file e0d6c928-c560-fcf8-e053-d805fe0aa794
|
114
|
|
null, file e0d6c92a-08af-fcf8-e053-d805fe0aa794
|
109
|
|
Large system analysis of base station cooperation for power minimization, file e0d6c928-b879-fcf8-e053-d805fe0aa794
|
106
|
|
Centralized and Distributed Power Allocation for Max-Min Fairness in Cell-Free Massive MIMO, file e0d6c932-046d-fcf8-e053-d805fe0aa794
|
106
|
|
Theoretical Performance Limits of Massive MIMO with Uncorrelated Rician Fading Channels, file e0d6c92b-8f37-fcf8-e053-d805fe0aa794
|
103
|
|
Achieving Distributed Consensus in UWB Sensor Networks: A Low Sampling Rate Scheme with Quantized Measurements, file e0d6c929-f2a2-fcf8-e053-d805fe0aa794
|
97
|
|
null, file e0d6c92f-f017-fcf8-e053-d805fe0aa794
|
95
|
|
Optimal design of energy-efficient multi-user MIMO systems: Is massive MIMO the answer?, file e0d6c926-98dd-fcf8-e053-d805fe0aa794
|
93
|
|
Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency, file e0d6c92b-9c57-fcf8-e053-d805fe0aa794
|
91
|
|
null, file e0d6c928-c0fc-fcf8-e053-d805fe0aa794
|
89
|
|
Demystifying the Power Scaling Law of Intelligent Reflecting Surfaces and Metasurfaces, file e0d6c931-df17-fcf8-e053-d805fe0aa794
|
87
|
|
null, file e0d6c929-aa86-fcf8-e053-d805fe0aa794
|
85
|
|
Deterministic equivalent for max-min SINR over random user locations, file e0d6c931-cadd-fcf8-e053-d805fe0aa794
|
85
|
|
Energy-Aware Competitive Power Allocation for Heterogeneous Networks Under QoS Constraints, file e0d6c930-56ce-fcf8-e053-d805fe0aa794
|
83
|
|
Pilot contamination is not a fundamental asymptotic limitation in massive MIMO, file e0d6c931-b9a1-fcf8-e053-d805fe0aa794
|
74
|
|
null, file e0d6c926-98e2-fcf8-e053-d805fe0aa794
|
73
|
|
Optimal design of energy-efficient millimeter wave hybrid transceivers for wireless backhaul, file e0d6c931-f809-fcf8-e053-d805fe0aa794
|
70
|
|
Decentralized multi-cell beamforming with QoS guarantees via large system analysis, file e0d6c927-2891-fcf8-e053-d805fe0aa794
|
63
|
|
Distributed Learning for Resource Allocation Under Uncertainty, file e0d6c931-c0b8-fcf8-e053-d805fe0aa794
|
60
|
|
Massive MIMO has Unlimited Capacity, file e0d6c929-d438-fcf8-e053-d805fe0aa794
|
59
|
|
Asymptotic analysis of downlink MISO systems over Rician fading channels, file e0d6c932-0538-fcf8-e053-d805fe0aa794
|
59
|
|
A rate splitting strategy for mitigating intra-cell pilot contamination in massive mimo, file e0d6c92f-88ca-fcf8-e053-d805fe0aa794
|
54
|
|
Distributed energy-efficient UL power control in massive MIMO with hardware impairments and imperfect CSI, file e0d6c931-dd56-fcf8-e053-d805fe0aa794
|
54
|
|
Spectral and energy efficiency of superimposed pilots in uplink massive MIMO, file e0d6c92b-362f-fcf8-e053-d805fe0aa794
|
50
|
|
Outage Analysis of Downlink URLLC in Massive MIMO systems with Power Allocation, file e0d6c931-daab-fcf8-e053-d805fe0aa794
|
48
|
|
null, file e0d6c928-b9aa-fcf8-e053-d805fe0aa794
|
45
|
|
Globally Optimal Energy-Efficient Power Control and Receiver Design in Wireless Networks, file e0d6c929-5d2a-fcf8-e053-d805fe0aa794
|
40
|
|
Distributed stochastic optimization via matrix exponential learning, file e0d6c931-dd57-fcf8-e053-d805fe0aa794
|
39
|
|
Massive MIMO radar for target detection, file e0d6c931-b99b-fcf8-e053-d805fe0aa794
|
37
|
|
Power Control in Networks With Heterogeneous Users: A Quasi-Variational Inequality Approach, file e0d6c931-7090-fcf8-e053-d805fe0aa794
|
34
|
|
On the optimum number of cooperating nodes in interfered cluster-based sensor networks, file e0d6c930-3c9b-fcf8-e053-d805fe0aa794
|
32
|
|
The Gallager Bound in Fiber Optical MIMO, file e0d6c932-06b0-fcf8-e053-d805fe0aa794
|
31
|
|
A framework for globally optimal energy-efficient resource allocation in wireless networks, file e0d6c92f-fe0b-fcf8-e053-d805fe0aa794
|
30
|
|
Joint UL and DL Spectral Efficiency Optimization of Superimposed Pilots in Massive MIMO, file e0d6c931-b769-fcf8-e053-d805fe0aa794
|
30
|
|
Large System Analysis of Power Normalization Techniques in Massive MIMO, file e0d6c931-d4e3-fcf8-e053-d805fe0aa794
|
27
|
|
Asymptotic Analysis of RZF in Large-Scale MU-MIMO Systems over Rician Channels, file e0d6c931-fc1c-fcf8-e053-d805fe0aa794
|
25
|
|
An energy-aware auction for hybrid access in heterogeneous networks under QoS requirements, file e0d6c930-2f6f-fcf8-e053-d805fe0aa794
|
24
|
|
Massive MIMO systems with imperfect covariance information, file e0d6c930-2480-fcf8-e053-d805fe0aa794
|
23
|
|
Polynomial expansion of the precoder for power minimization in large-scale MIMO systems, file e0d6c930-1bcd-fcf8-e053-d805fe0aa794
|
21
|
|
Non-cooperative power control for energy-efficient and delay-aware wireless networks, file e0d6c928-b9bd-fcf8-e053-d805fe0aa794
|
20
|
|
Resource allocation for power minimization in the downlink of THP-based spatial multiplexing MIMO-OFDMA systems, file e0d6c930-2f61-fcf8-e053-d805fe0aa794
|
15
|
|
Fundamental limits of energy efficiency in 5G multiple antenna systems, file e0d6c931-cefb-fcf8-e053-d805fe0aa794
|
13
|
|
A Game-Theoretic Approach for Energy-Efficient Detection in Radar Sensor Networks, file e0d6c929-37c7-fcf8-e053-d805fe0aa794
|
12
|
|
Energy and Delay Efficient Power Control in Wireless Networks, file e0d6c930-12d9-fcf8-e053-d805fe0aa794
|
10
|
|
AeroMACS Evolution - Analysis during Landing, Takeoff, and Approach Phases, file e0d6c929-9b42-fcf8-e053-d805fe0aa794
|
9
|
|
A game theoretic approach for energy efficient contention-based synchronization in OFDMA systems, file e0d6c92a-b530-fcf8-e053-d805fe0aa794
|
9
|
|
Interference management in 5G reverse TDD HetNets with wireless backhaul: A large system analysis, file e0d6c930-09ad-fcf8-e053-d805fe0aa794
|
9
|
|
Max-Min SINR in Large-Scale Single-Cell MU-MIMO: Asymptotic Analysis and Low Complexity Transceivers, file e0d6c930-1bc3-fcf8-e053-d805fe0aa794
|
9
|
|
System and method for initial ranging in wireless communication systems, file e0d6c930-6a4f-fcf8-e053-d805fe0aa794
|
8
|
|
Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces, file e0d6c932-07c3-fcf8-e053-d805fe0aa794
|
8
|
|
Large System Analysis of the Energy Consumption Distribution in Multi-User MIMO Systems With Mobility, file e0d6c930-4bb9-fcf8-e053-d805fe0aa794
|
7
|
|
Foundations of user-centric cell-free massive MIMO, file e0d6c931-cbc6-fcf8-e053-d805fe0aa794
|
7
|
|
Optimal design of energy-efficient cooperative WSNs: How many sensors are needed?, file e0d6c929-e07e-fcf8-e053-d805fe0aa794
|
6
|
|
Energy-aware competitive link adaptation in small-cell networks, file e0d6c928-b92b-fcf8-e053-d805fe0aa794
|
5
|
|
Distributed Energy-Efficient Power and Subcarrier Allocation for OFDMA-Based Small Cells, file e0d6c928-c25f-fcf8-e053-d805fe0aa794
|
5
|
|
Power Efficient Low Complexity Precoding for Massive MIMO Systems, file e0d6c928-c7a5-fcf8-e053-d805fe0aa794
|
5
|
|
Spatially-Stationary Model for Holographic MIMO Small-Scale Fading, file e0d6c92f-d30a-fcf8-e053-d805fe0aa794
|
5
|
|
Max-min SINR low complexity transceiver design for single cell massive MIMO, file e0d6c930-3ca0-fcf8-e053-d805fe0aa794
|
5
|
|
Random Access in Uplink Massive MIMO Systems: How to exploit asynchronicity and excess antennas, file e0d6c930-b84f-fcf8-e053-d805fe0aa794
|
5
|
|
Holographic MIMO Communications under Spatially-Stationary Scattering, file e0d6c931-f6a7-fcf8-e053-d805fe0aa794
|
5
|
|
Distributed energy-efficient power optimization for relay-aided heterogeneous networks, file e0d6c928-b84f-fcf8-e053-d805fe0aa794
|
4
|
|
Designing Multi-User MIMO for Energy Efficiency: When is Massive MIMO the Answer?, file e0d6c928-bfb8-fcf8-e053-d805fe0aa794
|
4
|
|
Distributed energy-efficient power optimization in cellular relay networks with minimum rate constraints, file e0d6c928-bfbe-fcf8-e053-d805fe0aa794
|
4
|
|
Optimal Linear Precoding in Multi-User MIMO Systems: A Large System Analysis, file e0d6c928-c261-fcf8-e053-d805fe0aa794
|
4
|
|
Analysis and Management of Interference in 5G Reverse TDD HetNets, file e0d6c929-cc98-fcf8-e053-d805fe0aa794
|
4
|
|
Can Hardware Distortion Correlation be Neglected when Analyzing Uplink SE in Massive MIMO?, file e0d6c92b-ba7d-fcf8-e053-d805fe0aa794
|
4
|
|
Fundamental Asymptotic Behavior of (Two-User) Distributed Massive MIMO, file e0d6c92e-3f63-fcf8-e053-d805fe0aa794
|
4
|
|
Deep Learning Power Allocation in Massive MIMO, file e0d6c92e-3ff9-fcf8-e053-d805fe0aa794
|
4
|
|
Resource allocation for power minimization in the downlink of THP-based spatial multiplexing MIMO-OFDMA systems, file e0d6c926-d45c-fcf8-e053-d805fe0aa794
|
3
|
|
Distributed power control over interference channels using ACK/NACK feedback, file e0d6c928-b92c-fcf8-e053-d805fe0aa794
|
3
|
|
Convex separable problems with linear and box constraints, file e0d6c928-b9d6-fcf8-e053-d805fe0aa794
|
3
|
|
Effects of mobility on user energy consumption and total throughput in a massive MIMO system, file e0d6c928-bbd0-fcf8-e053-d805fe0aa794
|
3
|
|
Energy consumption in multi-user MIMO systems: Impact of user mobility, file e0d6c928-c079-fcf8-e053-d805fe0aa794
|
3
|
|
A framework for energy-efficient design of 5G technologies, file e0d6c92a-0db5-fcf8-e053-d805fe0aa794
|
3
|
|
Guest Editorial Game Theory for Networks, Part II, file e0d6c92a-a494-fcf8-e053-d805fe0aa794
|
3
|
|
Solving Fractional Polynomial Problems by Polynomial Optimization Theory, file e0d6c92b-e21a-fcf8-e053-d805fe0aa794
|
3
|
|
Network deployment for maximal energy efficiency in uplink with zero-forcing, file e0d6c92b-e2e6-fcf8-e053-d805fe0aa794
|
3
|
|
Degrees of Freedom of Holographic MIMO Channels, file e0d6c92f-859b-fcf8-e053-d805fe0aa794
|
3
|
|
Making Cell-Free Massive MIMO Competitive with MMSE Processing and Centralized Implementation, file e0d6c92f-c7f6-fcf8-e053-d805fe0aa794
|
3
|
|
Distributed stochastic optimization via matrix exponential learning, file e0d6c930-6678-fcf8-e053-d805fe0aa794
|
3
|
|
Pilot Decontamination Processing in Cell-Free Massive MIMO, file e0d6c931-c27a-fcf8-e053-d805fe0aa794
|
3
|
|
Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces, file e0d6c931-c391-fcf8-e053-d805fe0aa794
|
3
|
|
A Primer on Near-Field Beamforming for Arrays and Reconfigurable Intelligent Surfaces, file e0d6c931-c593-fcf8-e053-d805fe0aa794
|
3
|
|
Near- And Far-Field Communications with Large Intelligent Surfaces, file e0d6c931-cbc4-fcf8-e053-d805fe0aa794
|
3
|
|
Cell-free Massive MIMO with Short Packets, file e0d6c931-ea7c-fcf8-e053-d805fe0aa794
|
3
|
| Totale |
6.358 |