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In this paper, we consider a multi-antenna system where the receiver should harvest energy from the transmitter by wireless energy transfer to support its wireless information transmission. In order to maximize the harvesting energy, we…

Information Theory · Computer Science 2013-07-25 Xiaoming Chen , Chau Yuen , Zhaoyang Zhang

The potentials of massive multiple-input multiple-output (MIMO) are all based on the available instantaneous channel state information (CSI) at the base station (BS). Therefore, the user in frequency-division duplexing (FDD) systems has to…

Information Theory · Computer Science 2024-10-30 Jiajia Guo , Chao-Kai Wen , Shi Jin

Heterogeneous Networks (HetNets) are introduced by the 3GPP as an emerging technology to provide high network coverage and capacity. The HetNets are the combination of multilayer networks such as macrocell, small cell (picocell and…

Networking and Internet Architecture · Computer Science 2016-04-29 Trung Kien Vu

This paper studies a two-hop decode-and-forward underlay cognitive radio system with interference alignment technique. An energy-constrained relay node harvests the energy from the interference signals through a power-splitting (PS)…

Information Theory · Computer Science 2018-03-12 Sultangali Arzykulov , Galymzhan Nauryzbayev , Theodoros A. Tsiftsis , Mohamed Abdallah

Coordinated multi-point (CoMP) communication is attractive for heterogeneous cellular networks (HCNs) for interference reduction. However, previous approaches to CoMP face two major hurdles in HCNs. First, they usually ignore the inter-cell…

Information Theory · Computer Science 2012-10-22 Ping Xia , Chun-Hung Liu , Jeffrey G. Andrews

We consider the problem of cache-aided interference management in a network consisting of $K_{\mathrm{T}}$ single-antenna transmitters and $K_{\mathrm{R}}$ single-antenna receivers, where each node is equipped with a cache memory.…

Information Theory · Computer Science 2019-06-24 Enrico Piovano , Hamdi Joudeh , Bruno Clerckx

The Gaussian $K$-user interference and $M\times K$ X channels are investigated with no instantaneous channel state information (CSI) at transmitters. First, it is assumed that the CSI is fed back to all nodes after a finite delay (delayed…

Information Theory · Computer Science 2016-11-17 Mohammad Javad Abdoli , Akbar Ghasemi , Amir Keyvan Khandani

We consider energy-efficient multi-user hybrid downlink beamforming (BF) and power allocation under imperfect channel state information (CSI) and probabilistic outage constraints. In this domain, classical optimization methods resort to…

Signal Processing · Electrical Eng. & Systems 2026-01-08 Lukas Schynol , Marius Pesavento

In practical federated learning (FL), the large communication overhead between clients and the server is often a significant bottleneck. Gradient compression methods can effectively reduce this overhead, while error feedback (EF) restores…

Machine Learning · Computer Science 2026-02-13 Diying Yang , Yingwei Hou , Weigang Wu

Channel state information (CSI) in the interference channel can be used to precode, align, and reduce the dimension of interference at the receivers, to achieve the channel's maximum multiplexing gain, through what is known as interference…

Information Theory · Computer Science 2015-06-03 Omar El Ayach , Robert W. Heath

Heterogeneous networks have a key role in the design of future mobile communication networks, since the employment of small cells around a macrocell enhances the network's efficiency and decreases complexity and power demand. Moreover,…

Information Theory · Computer Science 2015-07-02 Vaia Kalokidou , Oliver Johnson , Robert Piechocki

Channel State Information (CSI) Feedback plays a crucial role in achieving higher gains through beamforming. However, for a massive MIMO system, this feedback overhead is huge and grows linearly with the number of antennas. To reduce the…

Signal Processing · Electrical Eng. & Systems 2022-10-20 Sharan Mourya , SaiDhiraj Amuru , Kiran Kumar Kuchi

The degrees of freedom (DoF) of the multiple-input multiple-output (MIMO) Interference Broadcast Channel (IBC) with 2 cells and 2 users per cell are investigated when only delayed channel state information is available at the transmitter…

Information Theory · Computer Science 2016-11-17 Marc Torrellas , Adrian Agustin , Josep Vidal

An uplink multi secondary user (SU) cognitive radio system having average delay constraints as well as an interference constraint to the primary user (PU) is considered. If the interference channels between the SUs and the PU are…

Information Theory · Computer Science 2017-05-22 Ahmed Ewaisha , Cihan Tepedelenlioğlu

Interference alignment is degree of freedom optimal in K -user MIMO interference channels and many previous works have studied the transceiver designs. However, these works predominantly focus on networks with perfect channel state…

Information Theory · Computer Science 2015-06-15 Xiongbin Rao , Liangzhong Ruan , Vincent K. N. Lau

Base station cooperation can exploit knowledge of the users' channel state information (CSI) at the transmitters to manage co-channel interference. Users have to feedback CSI of the desired and interfering channels using finite-bandwidth…

Information Theory · Computer Science 2015-05-20 Ramya Bhagavatula , Robert W. Heath,

In this paper, a two-hop decode-and-forward cognitive radio system with deployed interference alignment is considered. The relay node is energy-constrained and scavenges the energy from the interference signals. In the literature, there are…

Information Theory · Computer Science 2018-03-12 Sultangali Arzykulov , Galymzhan Nauryzbayev , Theodoros A. Tsiftsis , Mohamed Abdallah

In this paper, we present an interference model for cognitive radio (CR) networks employing power control, contention control or hybrid power/contention control schemes. For the first case, a power control scheme is proposed to govern the…

Information Theory · Computer Science 2016-11-17 Zengmao Chen , Cheng-Xiang Wang , Xuemin Hong , John Thompson , Sergiy A. Vorobyov , Xiaohu Ge , Hailin Xiao , Feng Zhao

Cognitive beamforming (CB) is a multi-antenna technique for efficient spectrum sharing between primary users (PUs) and secondary users (SUs) in a cognitive radio network. Specifically, a multi-antenna SU transmitter applies CB to suppress…

Information Theory · Computer Science 2010-10-18 Kaibin Huang , Rui Zhang

For massive multiple-input multiple-output systems in the frequency division duplex (FDD) mode, accurate downlink channel state information (CSI) is required at the base station (BS). However, the increasing number of transmit antennas…

Information Theory · Computer Science 2024-01-15 Jiaming Cheng , Wei Chen , Jialong Xu , Yiran Guo , Lun Li , Bo Ai