PhaseMO paper

_posts/2025-01-16-PhaseMO.md

@@ -0,0 +1,58 @@
+---
+layout: publication
+title: "PhaseMO: A Universal Massive MIMO Architecture for Sustainable NextG"
+short_title: "PhaseMO"
+tags: Communications
+cover: /assets/images/PhaseMO_cover.PNG
+authors: "Adel Heidari, Agrim Gupta, Ish Kumar Jain, Dinesh Bharadia"   # needed for publist.html
+author_list:
+    - name: Adel Heidari
+      url: 
+      email: [email protected]
+    - name: Agrim Gupta
+      url: https://agrim9.github.io/
+      email: [email protected]
+    - name: Ish Kumar Jain # url field is optional
+      url: https://ishjain.github.io/
+      email: [email protected]
+    - name: Dinesh Bharadia
+      url: https://dineshb-ucsd.github.io/
+      email:  [email protected]
+eqcon: true #Put true if you want equal contrribution on pub page
+conference: "Infocomm'25"
+conference_site: https://infocom2025.ieee-infocom.org/ 
+paper: /files/PhaseMO_InfoComm25.pdf
+slides:
+video: 
+# poster: /files/DensQuer_poster.pdf
+# miscs:  # whatever you need to add Extra
+#     - content_type: Poster
+#       content_url:  /files/PhaseMO_poster.pdf
+# video_str: 
+# miscs: # additional items
+#     - content_type: 
+#       content_url: 
+description:
+    - text: "The rapid proliferation of devices and increasing data traffic in cellular networks necessitate advanced solutions to meet these escalating demands. Massive MIMO (Multiple Input Multiple Output) technology offers a promising approach, significantly enhancing throughput, coverage, and spatial multiplexing. Despite its advantages, Massive MIMO systems often lack flexible software controls over hardware, limiting their ability to optimize operational expenditure (OpEx) by reducing power consumption while maintaining performance. Current software-controlled methods, such as antenna muting combined with digital beamforming and hybrid beamforming, have notable limitations. Antenna muting struggles to maintain throughput and coverage, while hybrid beamforming faces hardware constraints that restrict scalability and future-proofing. This work presents PhaseMO, a versatile approach that adapts to varying network loads. PhaseMO effectively reduces power consumption in low-load scenarios without sacrificing coverage and overcomes the hardware limitations of hybrid beamforming, offering a scalable and future-proof solution. We will show that PhaseMO can achieve up to 30% improvement in energy efficiency while avoiding about 10% coverage reduction and a 5dB increase in UE transmit power."
+
+      image: /assets/images/PhaseMO_fig.PNG
+      image_width: 800 #px (check this image resolution and how it populate on webpage)
+
+    # - text:
+    #   image:
+    #   image_width: 800 # px (check this image resolution and how it populate on webpage)
+# medias:
+#    - type: Creating a “Greener,” More Connected Society
+#       url: https://today.ucsd.edu/story/creating-a-greener-more-connected-society
+citation:
+    - text: "Heidari, A., Gupta, A., Jain, I. K., & Bharadia, D. (2025). PhaseMO: Future-Proof, Energy-efficient, Adaptive Massive MIMO. arXiv preprint arXiv:2501.04197."
+      bib: "https://arxiv.org/pdf/2501.04197" 
+      bibtex: "
+    @article{heidari2025phasemo,
+  title={PhaseMO: Future-Proof, Energy-efficient, Adaptive Massive MIMO},
+  author={Heidari, Adel and Gupta, Agrim and Jain, Ish Kumar and Bharadia, Dinesh},
+  journal={arXiv preprint arXiv:2501.04197},
+  year={2025}
+}
+"
+---