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相关论文: On the Multiplexing Gain of K-user Partially Conne…

200 篇论文

This paper looks into the $K$-user interference channel. Interference Alignment is much likely to be applied with double-layered symbol extensions, either for constant channels in the H$\o$st-Madsen-Nosratinia conjecture or slowly changing…

信息论 · 计算机科学 2012-11-20 Haichuan Zhou , Tharm Ratnarajah

In this paper, we investigate the half-duplex cooperative communication scheme of a two user Gaussian interference channel. We develop achievable region and outer bound for the case when the system allow either transmitter or receiver…

信息论 · 计算机科学 2009-01-20 Yong Peng , Dinesh Rajan

The sectorized hexagonal model with mixed delay constraints is considered when both neighbouring mobile users and base stations can cooperate over rate-limited links. Each message is a combination of independent "fast" and "slow" bits,…

信息论 · 计算机科学 2019-03-01 Homa Nikbakht , Michèle Wigger , Shlomo Shamai

This paper develops a new communication strategy, ergodic interference alignment, for the K-user interference channel with time-varying fading. At any particular time, each receiver will see a superposition of the transmitted signals plus…

信息论 · 计算机科学 2012-06-19 Bobak Nazer , Michael Gastpar , Syed A. Jafar , Sriram Vishwanath

In this paper, we analyze the Gaussian X channel in the mixed interference regime. In this regime, multiple access transmission to one of the receivers is shown to be close to optimal in terms of sum rate. Three upper bounds are derived for…

信息论 · 计算机科学 2015-05-26 Praneeth Kumar , Srikrishna Bhashyam

The capacity of a network in which a multiple access channel (MAC) generates interference to a single-user channel is studied. An achievable rate region based on superposition coding and joint decoding is established for the discrete case.…

信息论 · 计算机科学 2012-09-06 Fangfang Zhu , Xiaohu Shang , Biao Chen , H. Vincent Poor

In downlink multi-antenna systems with many users, the multiplexing gain is strictly limited by the number of transmit antennas $N$ and the use of these antennas. Assuming that the total number of receive antennas at the multi-antenna users…

信息论 · 计算机科学 2014-07-25 Emil Björnson , Marios Kountouris , Mats Bengtsson , Björn Ottersten

Interference alignment is a transmission technique for exploiting all available degrees of freedom in the interference channel with an arbitrary number of users. Most prior work on interference alignment, however, neglects interference from…

信息论 · 计算机科学 2010-10-05 Steven W. Peters , Robert W. Heath

Approximate capacity regions are established for a class of interfering multiple access channels consisting of two multiple-access channels (MACs), each with an arbitrary number of transmitters, with one transmitter in each MAC causing…

信息论 · 计算机科学 2018-09-05 Yimin Pang , Mahesh K. Varanasi

We investigate the capacity region of multi-user interference channels (IC), where each user encodes multiple sub-user components. By unifying chain-rule decomposition with the Entropy Power Inequality (EPI), we reason that single-user…

信息论 · 计算机科学 2025-01-28 Sagnik Bhattacharya , Abhiram Rao Gorle , Muhammad Ali Mohsin , John M. Cioffi

This paper presents a study on multiple-antenna interference channels, accounting for general overhead as a function of the number of users and antennas in the network. The model includes both perfect and imperfect channel state information…

信息论 · 计算机科学 2012-02-09 Steven W. Peters , Robert W. Heath

This paper studies the coherent and non-coherent multiuser multiple-input multiple-output (MU-MIMO) uplink system in the finite blocklength regime. The i.i.d. Gaussian codebook is assumed for each user. To be more specific, the BS first…

信息论 · 计算机科学 2022-10-04 Junjuan Feng , Hien Quoc Ngo , Michail Matthaiou

We investigate how to exploit intermittent feedback for interference management by studying the two-user Gaussian interference channel (IC). We approximately characterize (within a universal constant) the capacity region for the Gaussian IC…

信息论 · 计算机科学 2016-11-17 Can Karakus , I-Hsiang Wang , Suhas Diggavi

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…

信息论 · 计算机科学 2013-07-16 Kiran Kuchi

In this paper, the Gaussian many-to-one X channel, which is a special case of general multiuser X channel, is studied. In the Gaussian many-to-one X channel, communication links exist between all transmitters and one of the receivers, along…

信息论 · 计算机科学 2016-11-17 Ranga Prasad , Srikrishna Bhashyam , A. Chockalingam

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…

信息论 · 计算机科学 2018-05-07 Sebastian Schiessl , James Gross , Giuseppe Caire

Spatial interference alignment among a finite number of users is proposed as a technique to increase the probability of successful transmission in an interference limited clustered wireless ad hoc network. Using techniques from stochastic…

信息论 · 计算机科学 2010-01-14 R. Tresch , M. Guillaud

In this paper, we propose opportunistic interference alignment (OIA) schemes for three-transmitter multiple-input multiple-output (MIMO) interference channels (ICs). In the proposed OIA, each transmitter has its own user group and selects a…

信息论 · 计算机科学 2015-03-19 Jung Hoon Lee , Wan Choi

A $K$-user cascade Gaussian Z-interference channel is a subclass of the general $K$-user Gaussian interference channel, where each user, except the first one, experiences interference only from the previous user. Under simple Han-Kobayashi…

信息论 · 计算机科学 2011-06-14 Yuanpeng Liu , Elza Erkip

For a multi-user interference channel with multi-antenna transmitters and single-antenna receivers, by restricting each receiver to a single-user detector, computing the largest achievable rate region amounts to solving a family of…

信息论 · 计算机科学 2009-08-24 Xiaohu Shang , Biao Chen , H. Vincent Poor