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The current mobile applications have rapidly growing memory footprints, posing a great challenge for memory system design. Insufficient DRAM main memory will incur frequent data swaps between memory and storage, a process that hurts…

Hardware Architecture · Computer Science 2024-03-19 Fei Wen , Mian Qin , Paul Gratz , Narasimha Reddy

It is known that in some cases a Random Access Machine (RAM) benefits from having an additional input that is an arbitrary number, satisfying only the criterion of being sufficiently large. This is known as the ARAM model. We introduce a…

Computational Complexity · Computer Science 2013-10-18 Michael Brand

Processing-in-memory (PIM) has emerged as a promising solution for accelerating memory-intensive workloads as they provide high memory bandwidth to the processing units. This approach has drawn attention not only from the academic community…

Hardware Architecture · Computer Science 2024-09-11 Dongjae Lee , Bongjoon Hyun , Taehun Kim , Minsoo Rhu

Non-orthogonal multiple access (NoMA) as an efficient way of radio resource sharing can root back to the network information theory. For generations of wireless communication systems design, orthogonal multiple access (OMA) schemes in time,…

Recent advances in persona-centric memory have revealed the powerful capability of multi-agent systems in managing persona memory, especially in conversational scenarios. However, these complex frameworks often suffer from information loss…

Computation and Language · Computer Science 2026-04-03 Qi Zhang , Shen Huang , Chu Liu , Shouqing Yang , Junbo Zhao , Haobo Wang , Pengjun Xie

Sparse code multiple access (SCMA) has been one of non-orthogonal multiple access (NOMA) schemes aiming to support high spectral efficiency and ubiquitous access requirements for 5G wireless communication networks. Conventional SCMA…

Signal Processing · Electrical Eng. & Systems 2019-06-20 Jinzhi Lin , Shengzhong Feng , Zhile Yang , Yun Zhang , Yong Zhang

A new non-orthogonal multiple access scheme performing simultaneous transmission to multiple users characterized by different signal-to-noise ratios is proposed. Different users are multiplexed by storing their codewords into a multiplexing…

Information Theory · Computer Science 2015-01-29 Alberto G. Perotti , Branislav M. Popovic

The problem of uplink transmissions in massive connectivity is commonly dealt with using schemes for grant-free random access. When a large number of devices transmit almost synchronously, the receiver may not be able to resolve the…

Signal Processing · Electrical Eng. & Systems 2024-12-09 Ao Chen , Wei Chen , Bo Ai , Petar Popovski

In this correspondence, we propose hierarchical high-altitude platform (HAP)-low-altitude platform (LAP) networks with the aim of maximizing the sum-rate of ground user equipments (UEs). The multiple aerial radio units (RUs) mounted on HAPs…

Systems and Control · Electrical Eng. & Systems 2023-12-08 Jeongbin Kim , Seongah Jeong , Seonghoon Yoo , Woong Son , Joonhyuk Kang

In this paper an innovative Radio Resource Management (RRM) algorithm is proposed with the purpose of increasing High Speed Packet Access (HSPA) performances, in terms of system capacity and service quality, when the Multimedia Broadcast…

Information Theory · Computer Science 2016-06-08 G. Araniti , V. Scordamaglia , A. Molinaro , A. Iera , G. Interdonato , F. Spanò

Various verticals in 5G and beyond (B5G) networks require very stringent latency guarantees, while at the same time envisioning massive connectivity. As a result, choosing the optimal multiple access (MA) technique to achieve low latency is…

Signal Processing · Electrical Eng. & Systems 2020-01-30 Mouktar Bello , Wenjuan Yu , Mylene Pischella , Arsenia Chorti , Inbar Fijalkow , Leila Musavian

While Transformer networks benefit from a global receptive field, their quadratic cost relative to sequence length restricts their application to long sequences and high-resolution inputs. We introduce Fast Multipole Attention (FMA), a…

Computation and Language · Computer Science 2025-09-19 Yanming Kang , Giang Tran , Hans De Sterck

An automated resource analysis technique is introduced, targeting a Call-By-Push-Value abstract machine, with memory prediction as a practical goal. The machine has a polymorphic and linear type system enhanced with a first-order logical…

Logic in Computer Science · Computer Science 2023-10-24 Hector Suzanne , Emmanuel Chailloux

Memory disaggregation over RDMA can improve the performance of memory-constrained applications by replacing disk swapping with remote memory accesses. However, state-of-the-art memory disaggregation solutions still use data path components…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-20 Hasan Al Maruf , Mosharaf Chowdhury

This paper considers an uplink massive machine-type communication (mMTC) scenario, where a large number of user devices are connected to a base station (BS). A novel grant-free massive random access (MRA) strategy is proposed, considering…

Information Theory · Computer Science 2021-02-23 Jia-Cheng Jiang , Hui-Ming Wang

Mounting a reconfigurable intelligent surface (RIS) on an unmanned aerial vehicle (UAV) holds promise for improving traditional terrestrial network performance. Unlike conventional methods deploying passive RIS on UAVs, this study delves…

The increasing complexity of recent Wi-Fi amendments is making optimal Rate Adaptation (RA) a challenge. The use of classic algorithms or heuristic models to address RA is becoming unfeasible due to the large combination of configuration…

Networking and Internet Architecture · Computer Science 2022-02-14 Ruben Queiros , Eduardo Nuno Almeida , Helder Fontes , Jose Ruela , Rui Campos

Rate-splitting multiple access (RSMA) has been proven as an effective communication scheme for 5G and beyond. However, current approaches to RSMA resource management require complicated iterative algorithms, which cannot meet the stringent…

Information Theory · Computer Science 2024-11-07 Hanwen Zhang , Mingzhe Chen , Alireza Vahid , Feng Ye , Haijian Sun

Distributed AI systems face critical memory management challenges across computation, communication, and deployment layers. RRAM based in memory computing suffers from scalability limitations due to device non idealities and fixed array…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-19 Zixuan Li , Chuanzhen Wang , Haotian Sun

Memory spatial errors, i.e., buffer overflow vulnerabilities, have been a well-known issue in computer security for a long time and remain one of the root causes of exploitable vulnerabilities. Most of the existing mitigation tools adopt a…

Cryptography and Security · Computer Science 2020-04-07 Dongwei Chen , Daliang Xu , Dong Tong , Kang Sun , Xuetao Guan , Chun Yang , Xu Cheng
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