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    Web graph compression by edge elimination

    , Article Data Compression Conference, DCC 2006, Snowbird, UT, 28 March 2006 through 30 March 2006 ; 2006 , Pages 459- ; 10680314 (ISSN) Mahdian, A ; Khalili, H ; Nourbakhsh, E ; Ghodsi, M ; Brandeis University ; Sharif University of Technology
    2006

    Effect of Finite Backhaul Capacity in Cloud Radio Access Network

    , M.Sc. Thesis Sharif University of Technology Ataie, Ali (Author) ; Hossein Khalaj, Babak (Supervisor)
    Abstract
    There has been a continuous increase in requested data rates in both uplink and downlink of wireless communications for a long time. But in recent years, this increase has become more extensive due to widespread use of smart phones and social networks. In order to cope with such a heavy demand, wireless telecommunication operators, have to improve frequency efficiency, by implementing more and more base-stations all over the network. But base-stations are very expensive instrument, due to their complex structure and having a high processing power. Therefore, building a network with so many base stations, may be as expensive that operators cannot afford it. “Cloud Radio Access Network”, or... 

    Cache-aided fog radio access networks with partial connectivity

    , Article IEEE Wireless Communications and Networking Conference, WCNC ; Volume 2018-April , 8 June , 2018 , Pages 1-6 ; 15253511 (ISSN) ; 9781538617342 (ISBN) Roushdy, A ; Motahari,S. A ; Nafie, M ; Gunduz, D ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2018
    Abstract
    Centralized coded caching and delivery is studied for a partially-connected fog radio access network (F-RAN), whereby a set of H edge nodes (ENs) (without caches), connected to a cloud server via orthogonal fronthaul links, serve K users over the wireless edge. The cloud server is assumed to hold a library of N files, each of size F bits; and each user, equipped with a cache of size MF bits, is connected to a distinct set of r ENs; or equivalently, the wireless edge from the ENs to the users is modeled as a partial interference channel. The objective is to minimize the normalized delivery time (NDT), which refers to the worst case delivery latency, when each user requests a single file from... 

    Minimizing uplink delay in delay-sensitive 5G CRAN platforms

    , Article 2nd IEEE 5G World Forum, 5GWF 2019, 30 September 2019 through 2 October 2019 ; 2019 , Pages 154-160 ; 9781728136271 (ISBN) Ataie, A ; Kanaanian, B ; Khalaj, B. H ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    In this paper, we consider the problem of minimizing the uplink delays of users in a 5G cellular network. Such cellular network is based on a Cloud Radio Access Network (CRAN) architecture with limited fronthaul capacity, where our goal is to minimize delays of all users through an optimal resource allocation. Earlier works minimize average delay of each user assuming same transmit power for all users. Combining Pareto optimization and Markov Decision Process (MDP), we show that every desired balance in the trade-off among infinite-horizon average-reward delays, is achievable by minimizing a properly weighted sum delays. In addition, we solve the problem in two realistic scenarios;... 

    Implementation and Development of a New Framework for Flexible Inter-PHY Functional Splitting in Cloud RAN Networks

    , M.Sc. Thesis Sharif University of Technology Basiri-Moghadam, Shahriar (Author) ; Hossein Khalaj, Babak (Supervisor)
    Abstract
    Thorough investigation of the Cloud-RAN (C-RAN) architecture has recently shown that CRAN can bring advanced cooperated and coordinated processing capabilities as well as the multiplexing gains toward future radio access networks. The baseband processing of each base station instance can now be flexibly split into smaller functional components, that can be placed either at remote radio units (RRUs) or baseband units (BBUs), depending on the available resources. In this project, we investigate recent implemented methods in C-RAN. also, we propose, develop and implement new architectural frameworks for C-RAN that can support both a flexible functional split and a new functional splitting known... 

    Load balancing in UTRAN by bipartite graphs

    , Article 4th European Conference on Circuits and Systems for Communications, ECCSC '08, Bucharest, 10 July 2008 through 11 July 2008 ; 2008 , Pages 301-306 ; 9781424424207 (ISBN) Javan, M. R ; Bouzari, S. M ; Tabandeh, M ; Sharif University of Technology
    2008
    Abstract
    3g wireless communication is the next version of mobile networks. Load balancing in networks causes efficient using of network resources. In this paper, we propose an efficient algorithm for load balancing of Radio Network Controllers (RNCs) in Radio Access Networks (RANs). As the characteristics of connections between RNCs and BTSs in a RAN are similar to those of graphs, we make use of graphs to solve our problem. The algorithm is based on the finding a path by which the RNCs could exchange their overloads. By using these paths the algorithm load balances the RNCs in an efficient and fast way. By testing our algorithm on networks with different topology and comparing the results, the... 

    A Thesis Submitted in Partial Fulfillment of the Requirement for the Degree of Master of Science in Digital Systems

    , M.Sc. Thesis Sharif University of Technology Bahari, Mohammad Hossein (Author) ; Shabany, Mahdi (Supervisor)
    Abstract
    Massive-MIMO and C-RAN are the two technologies which will be among most important parts of fifth generation (5G) stsrems. They will find widespread uses in future years. However, data transfer rate between these two technologies is a challenging problem. Also channel estimation is crucial in massive-MIMO systems. In this research, the problem of estimating the channel and the problems with the data transfer rate between these two technologies are investigated. We propose using 1-bit quantizers to solve the rate problem and also an algorithm with perfect performance in aspect of error rate is proposed. The mentioned algorithm is implemented on GPUs, which are available at C-RANs and resulted... 

    Joint optimization of power consumption and transmission delay in a cache-enabled C-RAN

    , Article IEEE Wireless Communications Letters ; Volume 9, Issue 8 , 2020 , Pages 1137-1140 Abdollahi Bafghi, A. H ; Mirmohseni, M ; Ashtiani, F ; Nasiri Kenari, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    In this letter, we consider a cache-enabled cloud radio access network with single-antenna base stations and single-antenna mobile users. Each base station can access the central processor of the network via a separate backhaul link with limited capacity. We utilize the interference alignment scheme as the transmission strategy between base stations and users. By assuming a block transmission scheme, we define a related data transmission delay. We derive the transmission delay and network power consumption. At last, we solve the problem of joint optimization of data transmission delay and network power consumption using DC programming algorithm. In our numerical results, we investigate the...