Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Peng, Bile"'
Autor:
Peng, Bile, Guo, Bihan, Besser, Karl-Ludwig, Kunz, Luca, Raghunath, Ramprasad, Schmeink, Anke, Jorswieck, Eduard A, Caire, Giuseppe, Poor, H. Vincent
Millimeter wave (mmWave) cell-free massive MIMO (CF mMIMO) is a promising solution for future wireless communications. However, its optimization is non-trivial due to the challenging channel characteristics. We show that mmWave CF mMIMO optimization
Externí odkaz:
http://arxiv.org/abs/2406.05652
Autor:
Peng, Bile, Besser, Karl-Ludwig, Shen, Shanpu, Siegismund-Poschmann, Finn, Raghunath, Ramprasad, Mittleman, Daniel, Jamali, Vahid, Jorswieck, Eduard A.
Multiple access techniques are cornerstones of wireless communications. Their performance depends on the channel properties, which can be improved by reconfigurable intelligent surfaces (RISs). In this work, we jointly optimize MA precoding at the ba
Externí odkaz:
http://arxiv.org/abs/2403.04028
CF-mMIMO systems are a promising solution to enhance the performance in 6G wireless networks. Its distributed nature of the architecture makes it highly reliable, provides sufficient coverage and allows higher performance than cellular networks. EE i
Externí odkaz:
http://arxiv.org/abs/2401.14281
Nonorthogonal multiple access (NOMA) with multi-antenna base station (BS) is a promising technology for next-generation wireless communication, which has high potential in performance and user fairness. Since the performance of NOMA depends on the ch
Externí odkaz:
http://arxiv.org/abs/2305.00692
The reconfigurable intelligent surface (RIS) is a promising technology that enables wireless communication systems to achieve improved performance by intelligently manipulating wireless channels. In this paper, we consider the sum-rate maximization p
Externí odkaz:
http://arxiv.org/abs/2305.00667
The reconfigurable intelligent surface (RIS) is a promising technology for next-generation wireless communication. It comprises many passive antennas, which reflect signals from the transmitter to the receiver with adjusted phases without changing th
Externí odkaz:
http://arxiv.org/abs/2212.02967
This work presents a machine learning approach to optimize the energy efficiency (EE) in a multi-cell wireless network. This optimization problem is non-convex and its global optimum is difficult to find. In the literature, either simple but suboptim
Externí odkaz:
http://arxiv.org/abs/2212.12329
Autor:
Tajik, Marjan, Maleki, Mohammadreza, Mokari, Nader, Javan, Mohammad Reza, Saeedi, Hamid, Peng, Bile, Jorswieck, Eduard A.
In this work, we adopt the emerging technology of mobile edge computing (MEC) in the Unmanned aerial vehicles (UAVs) for communication-computing systems, to optimize the age of information (AoI) in the network. We assume that tasks are processed join
Externí odkaz:
http://arxiv.org/abs/2206.09488
A two-user downlink network aided by a reconfigurable intelligent surface is considered. The weighted sum signal to interference plus noise ratio maximization and the sum rate maximization models are presented, where the precoding vectors and the RIS
Externí odkaz:
http://arxiv.org/abs/2202.06668
Autor:
Peng, Bile, Termöhlen, Jan-Aike, Sun, Cong, He, Danping, Guan, Ke, Fingscheidt, Tim, Jorswieck, Eduard A.
Reconfigurable intelligent surface (RIS) is an emerging technology for future wireless communication systems. In this work, we consider downlink spatial multiplexing enabled by the RIS for weighted sum-rate (WSR) maximization. In the literature, most
Externí odkaz:
http://arxiv.org/abs/2201.02834