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相关论文: Adaptive Limited Feedback for Sum-Rate Maximizing …

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Although there have been extensive studies on transmit beamforming in multi-input single-output (MISO) multicell networks, achieving optimal sum-rate with limited channel state information (CSI) is still a challenge even with a single user…

网络与互联网体系结构 · 计算机科学 2019-04-11 Youjin Kim , Hyun Jong Yang

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…

信息论 · 计算机科学 2015-05-20 Ramya Bhagavatula , Robert W. Heath,

In this paper, we study feedback optimization problems that maximize the users' signal to interference plus noise ratio (SINR) in a two-cell MIMO broadcast channel. Assuming the users learn their direct and interfering channels perfectly,…

信息论 · 计算机科学 2012-12-12 Rusdha Muharar , Randa Zakhour , Jamie Evans

Feedback of quantized channel state information (CSI), called limited feedback, enables transmit beamforming in multiple-input-multiple-output (MIMO) wireless systems with a small amount of overhead. Due to its efficiency, beamforming with…

信息论 · 计算机科学 2008-05-05 Kaibin Huang , Robert W. Heath , Jeffrey G. Andrews

This paper addresses the optimal design of limited-feedback downlink multi-user spatial multiplexing systems. A multiple-antenna base-station is assumed to serve multiple single-antenna users, who quantize and feed back their channel state…

信息论 · 计算机科学 2011-12-30 Behrouz Khoshnevis , Wei Yu

We consider the problem of coordinated multi- cell downlink beamforming in massive multiple input multiple output (MIMO) systems consisting of N cells, Nt antennas per base station (BS) and K user terminals (UTs) per cell. Specifically, we…

信息论 · 计算机科学 2015-04-09 Subhash Lakshminarayana , Mohamad Assaad , Merouane Debbah

This paper considers multiaccess multiple-input multiple-output (MIMO) systems with finite rate feedback. The goal is to understand how to efficiently employ the given finite feedback resource to maximize the sum rate by characterizing the…

信息论 · 计算机科学 2008-12-18 Wei Dai , Brian C. Rider , Youjian Liu

Utilization of inter-base station cooperation for information processing has shown great potential in enhancing the overall quality of communication services (QoS) in wireless communication networks. Nevertheless, such cooperations require…

信息论 · 计算机科学 2024-01-23 Xingdi Chen , Yu Xiong , Kai Yang

On a multi-antenna broadcast channel, simultaneous transmission to multiple users by joint beamforming and scheduling is capable of achieving high throughput, which grows double logarithmically with the number of users. The sum rate for…

信息论 · 计算机科学 2012-08-27 Kaibin Huang , Robert W. Heath, , Jeffrey G. Andrews

This paper considers maximizing the network-wide minimum supported rate in the downlink of a two-cell system, where each base station (BS) is endowed with multiple antennas. This is done for different levels of cell cooperation. At one…

信息论 · 计算机科学 2011-06-14 Randa Zakhour , Stephen V. Hanly

This paper investigates quantization of channel state information (CSI) and bit allocation across wireless links in a multi-source, single-relay cooperative cellular network. Our goal is to minimize the loss in performance, measured as the…

信息论 · 计算机科学 2016-11-17 Ehsan Karamad , Behrouz Khoshnevis , Raviraj Adve

Transmit beamforming is a simple multi-antenna technique for increasing throughput and the transmission range of a wireless communication system. The required feedback of channel state information (CSI) can potentially result in excessive…

信息论 · 计算机科学 2015-05-14 Kaibin Huang , Vincent K. N. Lau , Dongku Kim

A cellular multiple-input multiple-output (MIMO) downlink system is studied in which each base station (BS) transmits to some of the users, so that each user receives its intended signal from a subset of the BSs. This scenario is referred…

信息论 · 计算机科学 2013-02-12 Saeed Kaviani , Osvaldo Simeone , Witold A Krzymień , Shlomo Shamai

For the multiuser multiple-input multiple-output (MIMO) downlink channel, the users feedback their channel state information (CSI) to help the base station (BS) schedule users and improve the system sum rate. However, this incurs a large…

信息论 · 计算机科学 2011-03-22 Jin-Hao Li , Hsuan-Jung Su , Yu-Lun Tsai

A simple feedback control algorithm is presented for distributed beamforming in a wireless network. A network of wireless sensors that seek to cooperatively transmit a common message signal to a Base Station (BS) is considered. In this…

信息论 · 计算机科学 2007-07-16 R. Mudumbai , J. Hespanha , U. Madhow , G. Barriac

Despite the extensive research on massive MIMO systems for 5G telecommunications and beyond, the reality is that many deployed base stations are equipped with a limited number of antennas rather than supporting massive MIMO configurations.…

信号处理 · 电气工程与系统科学 2024-04-04 Youjin Kim , Jonggyu Jang , Hyun Jong Yang

This paper considers base station (BS) cooperation in the form of coordinated beamforming, focusing on min-max fairness in the power usage subject to target SINR constraints. We show that the optimal beamforming strategies have an…

信息论 · 计算机科学 2012-02-06 Randa Zakhour , Stephen V. Hanly

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…

信息论 · 计算机科学 2010-10-18 Kaibin Huang , Rui Zhang

This paper investigates a reconfigurable intelligent surface (RIS)-aided multi-user multiple-input multiple-output (MIMO) system by considering only the statistical channel state information (CSI) at the base station (BS). We aim to…

信息论 · 计算机科学 2021-12-23 Huan Zhang , Shaodan Ma , Zheng Shi , Xin Zhao , Guanghua Yang

Cell-free networks are regarded as a promising technology to meet higher rate requirements for beyond fifth-generation (5G) communications. Most works on cell-free networks focus on either fully centralized beamforming to maximally enhance…

信号处理 · 电气工程与系统科学 2023-01-27 Pengfei Ni , Ming Li , Rang Liu , Qian Liu
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