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Using Gaussian inputs and treating interference as noise at the receivers has recently been shown to be sum capacity achieving for the two-user single-input single-output (SISO) Gaussian interference channel in a low interference regime,…

信息论 · 计算机科学 2010-10-25 V. Sreekanth Annapureddy , Venugopal V. Veeravalli

In this paper, we investigate a multi-cell uplink non-orthogonal multiple access (NOMA) system with imperfect successive interference cancellation (SIC). The objective of the formulated optimization problem is to minimize the total power…

信息论 · 计算机科学 2020-07-21 M. Zeng , W. Hao , O. A. Dobre , Z. Ding , H. V. Poor

This article investigates the performance of uplink rate splitting multiple access (RSMA) in a two-user scenario, addressing an under-explored domain compared to its downlink counterpart. With the increasing demand for uplink communication…

信号处理 · 电气工程与系统科学 2026-04-21 Farjam Karim , Nurul Huda Mahmood , Arthur S. de Sena , Deepak Kumar , Bruno Clerckx , Matti Latva-aho

We consider a multi-cell massive MIMO system where a time-division duplex protocol is used to estimate the channel state information via uplink pilots. When maximum ratio combining (MRC) is used at the BSs, the re-use of pilots across cells…

信息论 · 计算机科学 2019-11-26 Meysam Shahrbaf Motlagh , Subhajit Majhi , Patrick Mitran

We revisit the Gaussian broadcast channel (GBC) and explore the rate region achieved by purely discrete inputs with treating interference as noise (TIN) decoding. Specifically, we introduce a simple scheme based on superposition coding with…

信息论 · 计算机科学 2026-04-07 Yujie Shao , Min Qiu

We develop an interference alignment (IA) technique for a downlink cellular system. In the uplink, IA schemes need channel-state-information exchange across base-stations of different cells, but our downlink IA technique requires feedback…

信息论 · 计算机科学 2015-03-13 Changho Suh , Minnie Ho , David Tse

So-called improper complex signals have been shown to be beneficial in the single-antenna two-user Gaussian interference channel under the assumptions that all input signals are Gaussian and that we treat interference as noise (TIN). This…

信息论 · 计算机科学 2020-02-06 Christoph Hellings , Wolfgang Utschick

We consider the information-theoretic optimality of treating inter-cell interference as noise in downlink cellular networks modeled as Gaussian interfering broadcast channels. Establishing a new uplink-downlink duality, we cast the problem…

信息论 · 计算机科学 2019-01-18 Hamdi Joudeh , Xinping Yi , Bruno Clerckx

The problem of max-min signal-to-interference plus noise ratio (SINR) for uplink transmission of cell-free massive multiple-input multiple-output (MIMO) system is considered. We assume that the system is employed with local minimum mean…

Recent investigations have shown sum capacity results within a constant bit-gap for several channel models, e.g. the two-user Gaussian interference channel (G-IC), k-user G-IC or the Gaussian X-channel. This has motivated investigations of…

信息论 · 计算机科学 2017-05-15 Rick Fritschek , Gerhard Wunder

In this paper, the downlink of a multi-cell massive MIMO system is considered where the channel state information (CSI) is estimated via pilot symbols that are orthogonal in a cell but re-used in other cells. Re-using the pilots, however,…

信息论 · 计算机科学 2021-12-21 Meysam Shahrbaf Motlagh , Subhajit Majhi , Patrick Mitran , Hideki Ochiai

In this paper, we propose a new retrospective interference alignment for two-cell multiple-input multiple-output (MIMO) interfering multiple access channels (IMAC) with the delayed channel state information at the transmitters (CSIT). It is…

信息论 · 计算机科学 2016-11-17 Wonjae Shin , Yonghee Han , Jungwoo Lee , Namyoon Lee , Robert W. Heath

Consider the problem of joint uplink scheduling and power allocation. Being inherent to almost any wireless system, this resource allocation problem has received extensive attention. Yet, most common techniques either adopt classical power…

网络与互联网体系结构 · 计算机科学 2015-03-20 Erez Biton , Asaf Cohen , Guy Reina , Omer Gurewitz

We consider secure communication over a two-user Gaussian interference channel, where each transmitter sends a confidential message to its legitimate receiver. For this setting, we identify a regime where the simple scheme of using Gaussian…

信息论 · 计算机科学 2017-06-21 Jinyuan Chen

This paper proposes a linear interference alignment (IA) scheme which can be used for uplink channels in a general multicell multiuser MIMO cellular network. The proposed scheme aims to align interference caused by signals from a set of…

信息论 · 计算机科学 2014-08-22 Khanh Pham , Kyungchun Lee

In this paper, we first propose interference alignment (IA) scheme for uplink transmission of multiple-input-mulitple-output (MIMO) cellular network with a help of relay which operates in halfduplex mode. The proposed scheme only requires…

信息论 · 计算机科学 2017-05-23 Hoyoun Kim , Jong-Seon No

To mitigate the residual interference from imperfect successive interference cancellation (SIC) in Rate-Splitting Multiple Access (RSMA), this paper incorporates improper Gaussian signaling (IGS) into the downlink RSMA framework. Unlike…

信号处理 · 电气工程与系统科学 2026-04-17 Wanting Shi , Hao Cheng , Zhe Li , Yili Xia , Wenjiang Pei

Multi-tier architecture improves the spatial reuse of radio spectrum in cellular networks, but it introduces complicated heterogeneity in the spatial distribution of transmitters, which brings new challenges in interference analysis. In…

网络与互联网体系结构 · 计算机科学 2014-10-28 Wei Bao , Ben Liang

This paper shows that for the two-user Gaussian Interference Channel (G-IC) Treating Interference as Noise without Time Sharing (TINnoTS) achieves the closure of the capacity region to within either a constant gap, or to within a gap of the…

信息论 · 计算机科学 2015-06-09 Alex Dytso , Daniela Tuninetti , Natasha Devroye

We consider symmetric two-user Gaussian interference channel with common messages. We derive an upper bound on the sum capacity, and show that the upper bound is tight in the low interference regime, where the optimal transmission scheme is…

信息论 · 计算机科学 2014-01-22 Quan Geng , Tie Liu