Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Yang, Shaoshi"'
Asynchronous radio transceivers often lead to significant range and velocity ambiguity, posing challenges for precise positioning and velocity estimation in passive-sensing perceptive mobile networks (PMNs). To address this issue, carrier frequency o
Externí odkaz:
http://arxiv.org/abs/2410.10134
Significant challenges remain for realizing precise positioning and velocity estimation in perceptive vehicular networks (PVN) enabled by the emerging integrated sensing and communication technology. First, complicated wireless propagation environmen
Externí odkaz:
http://arxiv.org/abs/2409.00969
Perceptive mobile networks (PMN) have been widely recognized as a pivotal pillar for the sixth generation (6G) mobile communication systems. However, the asynchronicity between transmitters and receivers results in velocity and range ambiguity, which
Externí odkaz:
http://arxiv.org/abs/2409.00950
Cooperative satellite-aerial-terrestrial networks (CSATNs), where unmanned aerial vehicles (UAVs) are utilized as nomadic aerial relays (A), are highly valuable for many important applications, such as post-disaster urban reconstruction. In this scen
Externí odkaz:
http://arxiv.org/abs/2408.14954
Integrated sensing and communications (ISAC) is widely recognized as a pivotal and emerging technology for the next-generation mobile communication systems. However, how to optimize the time-frequency domain radio resource distribution for both commu
Externí odkaz:
http://arxiv.org/abs/2407.12628
Publikováno v:
IEEE Access, vol. 12, pp. 48210-48222, Mar. 2024
Guidance commands of flight vehicles are a series of data sets with fixed time intervals, thus guidance design constitutes a sequential decision problem and satisfies the basic conditions for using deep reinforcement learning (DRL). In this paper, we
Externí odkaz:
http://arxiv.org/abs/2405.03711
To glean the benefits offered by massive multi-input multi-output (MIMO) systems, channel state information must be accurately acquired. Despite the high accuracy, the computational complexity of classical linear minimum mean squared error (MMSE) est
Externí odkaz:
http://arxiv.org/abs/2404.13603
Autor:
Meng, Kuo, Yang, Shaoshi, Wang, Xiao-Yang, Bu, Yan, Tang, Yurong, Zhang, Jianhua, Hanzo, Lajos
We propose a channel estimation scheme based on joint sparsity pattern learning (JSPL) for massive multi-input multi-output (MIMO) orthogonal time-frequency-space (OTFS) modulation aided systems. By exploiting the potential joint sparsity of the dela
Externí odkaz:
http://arxiv.org/abs/2403.03771
Publikováno v:
Sensors, vol. 24, no. 2, pp. 1-14, article number 533, Jan. 2024
Wireless sensor network (WSN) underpinning the smart-grid Internet of Things (SG-IoT) has been a popular research topic in recent years due to its great potential for enabling a wide range of important applications. However, the energy consumption (E
Externí odkaz:
http://arxiv.org/abs/2401.11449
Perceptive mobile network (PMN) is an emerging concept for next-generation wireless networks capable of conducting integrated sensing and communication (ISAC). A major challenge for realizing high performance sensing in PMNs is how to deal with spati
Externí odkaz:
http://arxiv.org/abs/2312.02163