Search Results - "Poor, H. Vincent"

Delay-Phase Precoding for Wideband THz Massive MIMO by Dai, Linglong, Tan, Jingbo, Chen, Zhi, Poor, H. Vincent

“…Benefiting from tens of GHz of bandwidth, terahertz (THz) communication has become a promising technology for future 6G network. To deal with the serious…”
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Ultrareliable and Low-Latency Wireless Communication: Tail, Risk, and Scale by Bennis, Mehdi, Debbah, Merouane, Poor, H. Vincent

“…Ensuring ultrareliable and low-latency communication (URLLC) for 5G wireless networks and beyond is of capital importance and is currently receiving tremendous…”
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Distributed Learning in Wireless Networks: Recent Progress and Future Challenges by Chen, Mingzhe, Gunduz, Deniz, Huang, Kaibin, Saad, Walid, Bennis, Mehdi, Feljan, Aneta Vulgarakis, Poor, H. Vincent

“…The next-generation of wireless networks will enable many machine learning (ML) tools and applications to efficiently analyze various types of data collected…”
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Impact of Non-Orthogonal Multiple Access on the Offloading of Mobile Edge Computing by Ding, Zhiguo, Fan, Pingzhi, Poor, H. Vincent

“…This paper considers the co-existence of two important communication techniques, non-orthogonal multiple access (NOMA) and mobile edge computing (MEC). Both…”
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OTFS-NOMA: An Efficient Approach for Exploiting Heterogenous User Mobility Profiles by Ding, Zhiguo, Schober, Robert, Fan, Pingzhi, Vincent Poor, H.

“…This paper considers a challenging communication scenario, in which users have heterogenous mobility profiles, e.g., some users are moving at high speeds and…”
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Impact of User Pairing on 5G Nonorthogonal Multiple-Access Downlink Transmissions by Ding, Zhiguo, Fan, Pingzhi, Poor, H. Vincent

“…Nonorthogonal multiple access (NOMA) represents a paradigm shift from conventional orthogonal multiple-access (MA) concepts and has been recognized as one of…”
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Non-Orthogonal Multiple Access: Common Myths and Critical Questions by Vaezi, Mojtaba, Schober, Robert, Ding, Zhiguo, Poor, H. Vincent

“…Non-orthogonal multiple access (NOMA) has received tremendous attention for the design of radio access techniques for fifth generation (5G) wireless networks…”
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Federated Learning for Internet of Things: A Comprehensive Survey by Nguyen, Dinh C., Ding, Ming, Pathirana, Pubudu N., Seneviratne, Aruna, Li, Jun, Vincent Poor, H.

“…The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of intelligent services and applications empowered by…”
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The Application of MIMO to Non-Orthogonal Multiple Access by Zhiguo Ding, Adachi, Fumiyuki, Poor, H. Vincent

“…This paper considers the application of multiple-input multiple-output (MIMO) techniques to nonorthogonal multiple access (NOMA) systems. A new design of…”
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Dynamic Task Offloading and Resource Allocation for Ultra-Reliable Low-Latency Edge Computing by Liu, Chen-Feng, Bennis, Mehdi, Debbah, Merouane, Poor, H. Vincent

“…To overcome devices' limitations in performing computation-intense applications, mobile edge computing (MEC) enables users to offload tasks to proximal MEC…”
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A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment by Ding, Zhiguo, Schober, Robert, Poor, H. Vincent

“…The application of multiple-input multiple-output (MIMO) techniques to nonorthogonal multiple access (NOMA) systems is important to enhance the performance…”
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Blind Federated Edge Learning by Amiri, Mohammad Mohammadi, Duman, Tolga M., Gunduz, Deniz, Kulkarni, Sanjeev R., Poor, H. Vincent Poor

“…We study federated edge learning (FEEL), where wireless edge devices, each with its own dataset, learn a global model collaboratively with the help of a…”
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Simple Semi-Grant-Free Transmission Strategies Assisted by Non-Orthogonal Multiple Access by Ding, Zhiguo, Schober, Robert, Fan, Pingzhi, Poor, H. Vincent

“…Grant-free transmission is an important feature to be supported by future wireless networks since it reduces the signaling overhead caused by conventional…”
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Communication-efficient federated learning by Chen, Mingzhe, Shlezinger, Nir, Poor, H. Vincent, Eldar, Yonina C., Cui, Shuguang

“…Federated learning (FL) enables edge devices, such as Internet of Things devices (e.g., sensors), servers, and institutions (e.g., hospitals), to…”
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A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks by Chen, Mingzhe, Yang, Zhaohui, Saad, Walid, Yin, Changchuan, Poor, H. Vincent, Cui, Shuguang

“…In this article, the problem of training federated learning (FL) algorithms over a realistic wireless network is studied. In the considered model, wireless…”
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Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge by Amiri, Mohammad Mohammadi, Gunduz, Deniz, Kulkarni, Sanjeev R., Poor, H. Vincent

“…We study federated learning (FL) at the wireless edge, where power-limited devices with local datasets collaboratively train a joint model with the help of a…”
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Wireless physical layer security by Poor, H. Vincent, Schaefer, Rafael F.

“…Security in wireless networks has traditionally been considered to be an issue to be addressed separately from the physical radio transmission aspects of…”
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Fast-Convergent Federated Learning by Nguyen, Hung T., Sehwag, Vikash, Hosseinalipour, Seyyedali, Brinton, Christopher G., Chiang, Mung, Vincent Poor, H.

“…Federated learning has emerged recently as a promising solution for distributing machine learning tasks through modern networks of mobile devices. Recent…”
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On the Impact of Phase Shifting Designs on IRS-NOMA by Ding, Zhiguo, Schober, Robert, Poor, H. Vincent

“…In this letter, the impact of two phase shifting designs, namely coherent phase shifting and random discrete phase shifting, on the performance of intelligent…”
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Scheduling Policies for Federated Learning in Wireless Networks by Yang, Howard H., Liu, Zuozhu, Quek, Tony Q. S., Poor, H. Vincent

“…Motivated by the increasing computational capacity of wireless user equipments (UEs), e.g., smart phones, tablets, or vehicles, as well as the increasing…”
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