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We derive the joint probability distribution of zero-forcing (ZF) V-BLAST gains under a greedy selection of decoding order and no error propagation. Unlike the previous approximated analyses, a mathematical framework is built by applying…

Information Theory · Computer Science 2013-09-24 Serdar Ozyurt , Murat Torlak

This paper studies the structure of downlink sum-rate maximizing selective decentralized feedback policies for opportunistic beamforming under finite feedback constraints on the average number of mobile users feeding back. Firstly, it is…

Information Theory · Computer Science 2011-07-26 Tharaka Samarasinghe , Hazer Inaltekin , Jamie S. Evans

We consider a multi-way massive multiple-input multiple-output relay network with zero-forcing processing at the relay. By taking into account the time-division duplex protocol with channel estimation, we derive an analytical approximation…

Information Theory · Computer Science 2017-01-04 Chung Duc Ho , Hien Quoc Ngo , Michail Matthaiou , Trung Q. Duong

User scheduling and beamforming design are two crucial yet coupled topics for wireless communication systems. They are usually optimized separately with conventional optimization methods. In this paper, a novel cross-layer optimization…

Information Theory · Computer Science 2022-03-03 Shiwen He , Zhenyu An , Jianyue Zhu , Min Zhang , Yongming Huang , Yaoxue Zhang

In this paper, an efficient transmit beam design and user scheduling method is proposed for multi-user (MU) multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) downlink, based on Pareto-optimality. The proposed beam…

Information Theory · Computer Science 2018-05-09 Junyeong Seo , Youngchul Sung

In this paper we analyze the performance of single stream and multi-stream spatial multiplexing (SM) systems employing opportunistic scheduling in the presence of interference. In the proposed downlink framework, every active user reports…

Information Theory · Computer Science 2013-07-16 Kiran Kuchi

This paper studies the beamforming design problem of a multi-user downlink network, assuming imperfect channel state information known to the base station. In this scenario, the base station is equipped with multiple antennas, and each user…

Signal Processing · Electrical Eng. & Systems 2020-03-25 Pu Zhao , Meng Zhang , Hui Yu , Hanwen Luo , Wen Chen

We analyze the mean and the variance of the useful signal and interference powers in a multi-cell network using zero-forcing beamforming (ZF-BF) with two beamformer normalization approaches. While the mean has been the main focus in earlier…

Information Theory · Computer Science 2020-08-06 Hussein A. Ammar , Raviraj Adve , Shahram Shahbazpanahi , Gary Boudreau

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…

Information Theory · Computer Science 2011-03-22 Jin-Hao Li , Hsuan-Jung Su , Yu-Lun Tsai

In this paper we aim to solve the multiuser multi-input multi-output (MIMO) downlink beamforming problem where one multi-antenna base station broadcasts data to many users. Each user is assigned multiple data streams and has multiple…

Information Theory · Computer Science 2015-05-18 Yu-Han Yang , Shih-Chun Lin , Hsuan-Jung Su

In this paper, a downlink communication system, in which a Base Station (BS) equipped with $M$ antennas communicates with $N$ users each equipped with $K$ receive antennas, is considered. An efficient suboptimum algorithm is proposed for…

Information Theory · Computer Science 2007-07-13 Alireza Bayesteh , Amir Keyvan Khandani

In a multicell multiuser MIMO downlink employing random beamforming as the transmission scheme, the heterogeneous large scale channel effects of intercell and intracell interference complicate analysis of distributed scheduling based…

Information Theory · Computer Science 2013-06-11 Yichao Huang , Bhaskar D. Rao

In this paper, we analyze the achievable rate of the uplink of a single-cell multi-user distributed massive multiple-input-multiple-output (MIMO) system. The multiple users are equipped with single antenna and the base station (BS) is…

Information Theory · Computer Science 2016-11-17 Ang Yang , Yindi Jing , Chengwen Xing , Zesong Fei , Jingming Kuang

A power optimal scheduling algorithm that guarantees desired throughput and bounded delay to each user is developed for fading multi-access multi-band systems. The optimization is over the joint space of all rate allocation and coding…

Information Theory · Computer Science 2007-07-13 Prasanna Chaporkar , Kimmo Kansanen , Ralf R. Müller

We analyze a MISO downlink channel where a multi-antenna transmitter communicates with a large number of single-antenna receivers. Using linear beamforming or nonlinear precoding techniques, the transmitter can serve multiple users…

Information Theory · Computer Science 2018-05-07 Sebastian Schiessl , James Gross , Giuseppe Caire

In this paper, we analyze the benefits of including downlink pilots in a cell-free massive MIMO system. We derive an approximate per-user achievable downlink rate for conjugate beamforming processing, which takes into account both uplink…

Information Theory · Computer Science 2019-09-10 Giovanni Interdonato , Hien Quoc Ngo , Erik G. Larsson , Pål Frenger

In this paper, a novel joint design of beamforming and power allocation is proposed for a multi-cell multiuser multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) network. In this network, base stations (BSs) adopt…

Information Theory · Computer Science 2018-06-13 Xiaofang Sun , Nan Yang , Shihao Yan , Zhiguo Ding , Derrick Wing Kwan Ng , Chao Shen , Zhangdui Zhong

We investigate multiuser uplink communication from multiple single-antenna users to a base station (BS), which is equipped with a movable-antenna (MA) array and adopts zero-forcing receivers to decode multiple signals. We aim to optimize…

Information Theory · Computer Science 2024-01-09 Guojie Hu , Qingqing Wu , Kui Xu , Jian Ouyang , Jiangbo Si , Yunlong Cai , Naofal Al-Dhahir

Cell-free Massive MIMO (multiple-input multiple-output) refers to a distributed Massive MIMO system where all the access points (APs) cooperate to coherently serve all the user equipments (UEs), suppress inter-cell interference and mitigate…

Information Theory · Computer Science 2019-09-09 Giovanni Interdonato , Hien Quoc Ngo , Pål Frenger , Erik G. Larsson

In this paper we consider a time-division duplex cell-free massive multiple-input multiple-output (MIMO) system where many distributed access points (APs) simultaneously serve many users. A normalized conjugate beamforming scheme, which…

Information Theory · Computer Science 2019-09-10 Giovanni Interdonato , Hien Quoc Ngo , Erik G. Larsson , Pål Frenger