Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Chen, Yuang"'
Autor:
Chen, Yuang, Zhang, Cheng, Gao, Xitong, Mullins, Robert D., Constantinides, George A., Zhao, Yiren
Grouped-query attention (GQA) has been widely adopted in LLMs to mitigate the complexity of multi-head attention (MHA). To transform an MHA to a GQA, neighbour queries in MHA are evenly split into groups where each group shares the value and key laye
Externí odkaz:
http://arxiv.org/abs/2406.14963
Optimizing microservice placement to enhance the reliability of services is crucial for improving the service level of microservice architecture-based mobile networks and Internet of Things (IoT) networks. Despite extensive research on service reliab
Externí odkaz:
http://arxiv.org/abs/2405.18001
Industry 5.0 and beyond networks have driven the emergence of numerous mission-critical applications, prompting contemplation of the neXt-generation ultra-reliable low-latency communication (xURLLC). To guarantee low-latency requirements, xURLLC heav
Externí odkaz:
http://arxiv.org/abs/2405.16471
Massive interconnection has sparked people's envisioning for next-generation ultra-reliable and low-latency communications (xURLLC), prompting the design of customized next-generation advanced transceivers (NGAT). Rate-splitting multiple access (RSMA
Externí odkaz:
http://arxiv.org/abs/2402.16027
In the traditional cellular-based mobile edge computing (MEC), users at the edge of the cell are prone to suffer severe inter-cell interference and signal attenuation, leading to low throughput even transmission interruptions. Such edge effect severe
Externí odkaz:
http://arxiv.org/abs/2312.01499
The cloud radio access network (C-RAN) has become the foundational structure for various emerging communication paradigms, leveraging the flexible deployment of distributed access points (APs) and centralized task processing. In this paper, we propos
Externí odkaz:
http://arxiv.org/abs/2311.09879
Achievable Sum Rate Optimization on NOMA-aided Cell-Free Massive MIMO with Finite Blocklength Coding
Non-orthogonal multiple access (NOMA)-aided cell-free massive multiple-input multiple-output (CFmMIMO) has been considered as a promising technology to fulfill strict quality of service requirements for ultra-reliable low-latency communications (URLL
Externí odkaz:
http://arxiv.org/abs/2306.02107
Millimeter-wave(mmWave) technology has emerged as a promising enabler for unleashing the full potential of 360-degree virtual reality (VR). However, the explosive growth of VR services, coupled with the reliability issues of mmWave communications, po
Externí odkaz:
http://arxiv.org/abs/2305.07935
In the traditional mobile edge computing (MEC) system, the availability of MEC services is greatly limited for the edge users of the cell due to serious signal attenuation and inter-cell interference. User-centric MEC (UC-MEC) can be seen as a promis
Externí odkaz:
http://arxiv.org/abs/2302.10515
In this paper, fundamentals and performance tradeoffs of the neXt-generation ultra-reliable and low-latency communication (xURLLC) are investigated from the perspective of stochastic network calculus (SNC). An xURLLC-enabled massive MU-MIMO system mo
Externí odkaz:
http://arxiv.org/abs/2302.10092