Millimeter Wave MIMO With Lens Antenna Array: A New Path Division Multiplexing Paradigm
By Yong Zeng, Rui Zhang. IEEE Transactions on Communications, 2015
328 citations recorded by the source corpus.
Millimeter wave (mmWave) communication is a promising technology for future wireless systems, while one practical challenge is to achieve its large-antenna gains with only limited radio frequency (RF) chains for cost-effective implementation. To this end, we study in this paper a new lens antenna array enabled mmWave multiple-input multiple-output (MIMO) communication system. We first show that the array response of lens antenna arrays follows a “sinc” function, where the antenna element with the peak response is determined by the angle of arrival (AoA)/departure (AoD) of the received/transmitted signal. By exploiting this unique property along with the multi-path sparsity of mmWave channels, we propose a novel low-cost and capacity-achieving spatial multiplexing scheme for both narrow-band and wide-band mmWave communications, termed path division multiplexing (PDM), where parallel data streams are transmitted over different propagation paths with simple per-path processing. We further propose a simple path grouping technique with group-based small-scale MIMO processing to effectively mitigate the inter-stream interference due to similar AoAs/AoDs. Numerical results are provided to compare the performance of the proposed mmWave lens MIMO against the conventional MIMO with uniform planar arrays (UPAs) and hybrid analog/digital processing. It is shown that the proposed design achieves significant throughput gains as well as complexity and cost reductions, thus leading to a promising new paradigm for mmWave MIMO communications.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/258f448f758cb3948f02ba5ba7f7f5a59c7b3f62
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In Electrical and Electronic Engineering
- Rui Zhang
- Robert Schober
- Qingqing Wu
- Emil Björnson
- Yong Zeng
- Derrick Wing Kwan Ng
- Yuanwei Liu
- Chau Yuen
Citations in the corpus
- Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond (2019, background): “To overcome this issue, there have been significant research efforts on developing cost-aware MIMO transceiver architectures, such as analog beamforming [64], hybrid anlog/digital precoding [65,66], and lens antenna array communications [67,68].”
- A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, background): “has, in most current investigations, been neglected [289], which possibly results in SNR and system sum-rate, degradation [288].”
- Communications and Signals Design for Wireless Power Transmission (2016, background): “devoted to enabling cost-effective massive MIMO and mmWave wireless communications via techniques such as analog beamforming [180], hybrid analog/digital processing [181], or the advanced lens antenna arrays [182], [183].”
- Modeling and Performance Analysis for Movable Antenna Enabled Wireless Communications (2022, methodology): “Compared to conventional MIMO, massive MIMO is able to exploit the spatial correlation of large antenna arrays for attaining higher array gains and mitigating the multi-user interference more effectively [7], [8], [9], [10].”
- A Simple Design of IRS-NOMA Transmission (2019, methodology): “A straightforward design for IRS-NOMA with finite resolution beamforming is inspired by lens antenna arrays in millimeter-wave networks [5].”
- Channel Estimation for Millimeter-Wave Massive MIMO With Hybrid Precoding Over Frequency-Selective Fading Channels (2016, methodology): “For mmWave m assive MIMO with the phase shifter network based hybrid precoding [1]–[3] or electromagnetic lens bas ed beamspace MIMO [4], [5], the number of radio frequency (RF) chains is usually much smaller than tha t of antennas for reduced hardware cost and power consumption.”
- Movable-Antenna Enhanced Multiuser Communication via Antenna Position Optimization (2023, background): “Such fixed and discrete deployment of antennas limits the diversity and spatial multiplexing performance of MIMO systems because the channel variation in the continuous spatial field is not fully utilized.”
- Iterative Channel Estimation Using LSE and Sparse Message Passing for MmWave MIMO Systems (2016, methodology): “These properties make the lens a practical and energy efficiency tool for implementing the RF frontend in beamforming systems [43], [44].”
- A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking (2021, methodology): “By using the sub-array technique, a multi-beam mmWave-MIMO-NOMA scheme was proposed in [189].”
- A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G (2023, background): “implementation of hybrid beamforming is lens antenna array [47,48], by exploiting the direction-dependent energy focusing capability of electromagnetic (EM) lenses.”
- Prospective Multiple Antenna Technologies for Beyond 5G (2019, background): “Among various definitions, [104] defines a lens array as a device whose main function is to “provide variable phase shifting for electromagnetic (EM) rays at different points on the lens aperture so as to achieve angle-dependent energy focusing property.””
- Spectrum and Energy-Efficient Beamspace MIMO-NOMA for Millimeter-Wave Communications Using Lens Antenna Array (2017, methodology): “…maximum number of supported users at the same time-frequency resources is equal to the number of RF chains [9], i.e., K ≤ N RF , which is the fundamental limit of beamspace MIMO systems that was explicitly or implicitly considered in all published papers on beamspace MIMO [2], [4], [5], [9], [15].”
- Millimeter Wave Communication: A Comprehensive Survey (2018, unknown): “Contrast to the studies in [54] and [55], which treat the EM lens and the antenna array separately by modeling the lens as an approximate spatial discrete Fourier transform (DFT) fil-ter, a systematic designed framework regards the lens antenna array as an integrated component [56].”
- An Overview of Sustainable Green 5G Networks (2016, methodology): “[5] Y.”