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Physical Sciences · Engineering

Advanced Wireless Communication Technologies
Research Guide

What is Advanced Wireless Communication Technologies?

Advanced Wireless Communication Technologies refer to the application of intelligent reflecting surfaces (IRS) and reconfigurable intelligent surfaces (RIS) in wireless systems, including non-orthogonal multiple access (NOMA), 6G networks, and MIMO systems, to optimize beamforming, channel estimation, energy efficiency, and smart radio environments.

This field encompasses 34,062 works focused on IRS and RIS integration in wireless networks. Key areas include beamforming optimization and energy efficiency enhancements via passive reflecting elements. Research demonstrates performance gains in 6G and MIMO contexts through joint active and passive beamforming.

Topic Hierarchy

100%
graph TD D["Physical Sciences"] F["Engineering"] S["Electrical and Electronic Engineering"] T["Advanced Wireless Communication Technologies"] D --> F F --> S S --> T style T fill:#DC5238,stroke:#c4452e,stroke-width:2px
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34.1K
Papers
N/A
5yr Growth
548.2K
Total Citations

Research Sub-Topics

Why It Matters

IRS and RIS enable spectrum and energy efficient wireless communication by reconfiguring propagation environments with low-cost passive elements. Wu and Zhang (2019) in "Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming" showed that IRS achieves significant rate improvements in multi-user downlink systems via optimized phase shifts, with gains up to several times over baseline MIMO setups with 4354 citations. Huang et al. (2018) in "Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication" developed designs reducing transmit power while maintaining rates, applied in multi-antenna base stations serving multiple users. These technologies support 6G applications by addressing 5G limitations in coverage and efficiency, as explored in Saad et al. (2019) "A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems" with 4326 citations.

Reading Guide

Where to Start

"Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming" by Qingqing Wu and Rui Zhang (2019), as it provides a foundational model for IRS operation, joint beamforming optimization, and performance analysis in multi-user systems with 4354 citations.

Key Papers Explained

Wu and Zhang (2019) "Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming" establishes IRS basics and joint optimization (4354 citations), extended by Wu and Zhang (2019) "Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network" (4074 citations) to broader network reconfiguration. Huang et al. (2018) "Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication" (3607 citations) builds on these by focusing on power minimization designs. Saad et al. (2019) "A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems" (4326 citations) contextualizes IRS within 6G trends.

Paper Timeline

100%
graph LR P0["Low-density parity-check codes
1962 · 10.4K cites"] P1["Distributed space-time-coded pro...
2003 · 4.0K cites"] P2["What Will 5G Be?
2014 · 8.0K cites"] P3["A Survey on Mobile Edge Computin...
2017 · 5.1K cites"] P4["Intelligent Reflecting Surface E...
2019 · 4.4K cites"] P5["A Vision of 6G Wireless Systems:...
2019 · 4.3K cites"] P6["Towards Smart and Reconfigurable...
2019 · 4.1K cites"] P0 --> P1 P1 --> P2 P2 --> P3 P3 --> P4 P4 --> P5 P5 --> P6 style P0 fill:#DC5238,stroke:#c4452e,stroke-width:2px
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Most-cited paper highlighted in red. Papers ordered chronologically.

Advanced Directions

Current preprints on IRS are unavailable, but top papers indicate frontiers in scaling IRS for 6G MIMO with NOMA, energy-constrained designs, and smart environments. Huang et al. (2018) highlight ongoing needs for robust phase optimization under imperfect channels.

Papers at a Glance

# Paper Year Venue Citations Open Access
1 Low-density parity-check codes 1962 IEEE Transactions on I... 10.4K
2 What Will 5G Be? 2014 IEEE Journal on Select... 8.0K
3 A Survey on Mobile Edge Computing: The Communication Perspective 2017 IEEE Communications Su... 5.1K
4 Intelligent Reflecting Surface Enhanced Wireless Network via J... 2019 IEEE Transactions on W... 4.4K
5 A Vision of 6G Wireless Systems: Applications, Trends, Technol... 2019 IEEE Network 4.3K
6 Towards Smart and Reconfigurable Environment: Intelligent Refl... 2019 IEEE Communications Ma... 4.1K
7 Distributed space-time-coded protocols for exploiting cooperat... 2003 IEEE Transactions on I... 4.0K
8 Five disruptive technology directions for 5G 2014 IEEE Communications Ma... 3.8K
9 Reconfigurable Intelligent Surfaces for Energy Efficiency in W... 2018 arXiv (Cornell Univers... 3.6K
10 Next Generation 5G Wireless Networks: A Comprehensive Survey 2016 IEEE Communications Su... 3.3K

Frequently Asked Questions

What are Intelligent Reflecting Surfaces (IRS)?

IRS consists of low-cost passive elements that reflect incident signals with controllable phases to enhance wireless channels. Wu and Zhang (2019) in "Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming" describe IRS as a technology for spectrum and energy efficient communication in future networks. It integrates massive reflecting elements on a planar surface to reconfigure the propagation environment.

How do IRS improve energy efficiency?

IRS reduces transmit power requirements by optimizing phase shifts of reflecting elements in multi-user downlink systems. Huang et al. (2018) in "Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication" propose joint power allocation and phase shift designs that minimize energy use while meeting rate targets. This applies to multi-antenna base stations serving multiple users.

What role does IRS play in 6G networks?

IRS aids 6G by creating smart radio environments that overcome 5G limitations in coverage and capacity. Wu and Zhang (2019) in "Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network" highlight IRS use for performance gains via environmental reconfiguration. Saad et al. (2019) in "A Vision of 6G Wireless Systems" position IRS as key for next-generation wireless systems.

What optimization methods are used with RIS?

Joint active and passive beamforming optimizes IRS phase shifts and base station beams for rate maximization. Wu and Zhang (2019) in "Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming" develop algorithms for this in multi-user MIMO. These methods enhance spectral efficiency without additional active antennas.

How does NOMA integrate with IRS?

NOMA with IRS uses non-orthogonal resource allocation alongside passive beamforming for multi-user access. The field description notes IRS application in NOMA for 6G and MIMO systems. This combination improves user fairness and sum rates in dense networks.

Open Research Questions

  • ? How can channel estimation overhead be minimized for large-scale IRS deployments in dynamic environments?
  • ? What are optimal beamforming strategies for IRS-assisted NOMA in high-mobility 6G scenarios?
  • ? How do IRS designs scale energy efficiency for terahertz frequencies in future MIMO systems?
  • ? What interference management techniques are needed for multi-IRS coordination in smart radio environments?
  • ? How does hardware impairment affect IRS phase shift optimization and performance bounds?

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