| 888271. |
- Miao, Guowang, et al.
(författare)
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Energy Efficiency in the Wideband Regime
- 2013
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Ingår i: 2013 IEEE Wireless Communications And Networking Conference (WCNC). - : IEEE Communications Society. - 9781467359399 ; , s. 510-515
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Konferensbidrag (refereegranskat)abstract
- In this paper we discuss globally optimal energy-efficient communications in the wideband regime that is characterized by wide signal bandwidth and low spectral efficiency. An end-to-end multiple-hop system with one sender, one receiver, and multiple relays is considered. We discover the globally optimal link adaptation as well as relay deployment strategies such that the whole system can run with the highest energy efficiency. The technologies proposed can be used in various communication systems, such as the deployment and communication of wired core networks and wireless broadband relay backhauls, to improve their energy efficiency.
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| 888272. |
- Miao, Guowang, et al.
(författare)
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Energy Efficiency in the Wideband Regime
- 2013
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Ingår i: IEEE Transactions on Wireless Communications. - : IEEE conference proceedings. - 1536-1276 .- 1558-2248. ; 12:8, s. 4102-4109
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Tidskriftsartikel (refereegranskat)abstract
- End-to-end communication is the fundamental building block of communication networks. In this paper, we discuss globally optimal energy efficient design for end-to-end communications. An end-to-end multiple-hop system with one sender, one receiver, and multiple relays is considered. We first study in detail energy-efficient designs in the wideband regime that is characterized by wide signal bandwidth and low spectral efficiency, and later briefly those in the narrowband regime. We will reveal the globally optimal link adaptation as well as relay deployment strategies such that the whole system can achieve the highest energy efficiency. The technologies proposed can be used in various communication systems, such as the deployment and communication of wired core networks and wireless relay networks, to improve their energy efficiency. While this paper focuses on a linear end-to-end network topology, the methodology can be easily extended to two-dimensional network topologies for energy-efficient designs of the whole network
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| 888273. |
- Miao, Guowang
(författare)
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Energy-Efficient Uplink Multi-User MIMO
- 2013
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Ingår i: IEEE Transactions on Wireless Communications. - : IEEE Communications Society. - 1536-1276 .- 1558-2248. ; 12:5, s. 2302-2313
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Tidskriftsartikel (refereegranskat)abstract
- This paper addresses optimal energy-efficient design for uplink (UL) MU-MIMO in a single cell environment. The energy efficiency is measured by throughput per Joule, while both RF transmission power and device electronic circuit power are considered. We define the energy efficiency (EE) capacity for UL MU-MIMO and study the power allocation that achieves this capacity. First we assume all users consume a fixed amount of circuit power and show that user antennas should be used only when the corresponding spatial channels are sufficiently good and using them improves the overall network EE. Mobile devices may have improved circuit management capability and turn off circuit operations when some antennas are not used to reduce circuit power consumption. Therefore we further study energy-efficient UL MU-MIMO with improved circuit management and show that some antennas should not be used even when their channel states are good because turning them on consumes too much circuit power. Based on theoretical analysis, we further develop low-complexity yet globally optimal energy-efficient power allocation algorithms that converge to the optimum exponentially. Simulation results are provided to demonstrate the significant gain in network energy efficiency.
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| 888274. |
- Miao, Guowang
(författare)
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Energy-Efficient Uplink Multi-User MIMO with Dynamic Antenna Management
- 2012
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Ingår i: 2012 IEEE Global Communications Conference (Globecom). - : IEEE. - 9781467309219 ; , s. 3437-3442
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Konferensbidrag (refereegranskat)abstract
- Energy efficiency is important for mobile devices because battery technology development has not kept up with the growing demand of ubiquitous broadband communications. This paper addresses optimal energy-efficient design for uplink (UL) MU-MIMO in a single cell environment. We assume mobile devices have dynamic antenna management capability and can turn off circuit operations when some antennas are not used to save power. We show that some antennas should not be used even when their channel states are good because turning them on consumes too much circuit power. This indicates a single antenna system could perform better than a multi-antenna system in terms of energy efficiency. Based on theoretical analysis, we further develop low-complexity yet globally optimal algorithms that converge to the optimum exponentially.
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| 888275. |
- Miao, Guowang, et al.
(författare)
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Fundamentals of Mobile Data Networks
- 2016
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Bok (övrigt vetenskapligt/konstnärligt)abstract
- This unique text provides a comprehensive and systematic introduction to the theory and practice of mobile data networks. Covering basic design principles as well as analytical tools for network performance evaluation, and with a focus on system-level resource management, you will learn how state-of-the-art network design can enable you flexibly and efficiently to manage and trade-off various resources such as spectrum, energy, and infrastructure investments. Topics covered range from traditional elements such as medium access, cell deployment, capacity, handover, and interference management, to more recent cutting-edge topics such as heterogeneous networks, energy and cost-efficient network design, and a detailed introduction to LTE (4G). Numerous worked examples and exercises illustrate the key theoretical concepts and help you put your knowledge into practice, making this an essential resource whether you are a student, researcher, or practicing engineer.
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| 888276. |
- Miao, Guowang, et al.
(författare)
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Low-Complexity Energy-Efficient Scheduling for Uplink OFDMA
- 2012
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Ingår i: IEEE Transactions on Communications. - : IEEE Communications Society. - 0090-6778 .- 1558-0857. ; 60:1, s. 112-120
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Tidskriftsartikel (refereegranskat)abstract
- Energy-efficient wireless communication is very important for battery-constrained mobile devices. For mobile devices in a cellular system, uplink power consumption dominates the wireless power budget because of RF power requirements for reliable transmission over long distances. Our previous work in this area focused on optimizing energy efficiency by maximizing the instantaneous bits-per-Joule metric through iterative approaches, which resulted in significant energy savings for uplink cellular OFDMA transmissions. In this paper, we develop energy efficient schemes with significantly lower complexity when compared to iterative approaches, by considering time-averaged bits-per-Joule metrics. We consider an uplink OFDMA system where multiple users communicate to a central scheduler over frequency-selective channels with high energy efficiency. The scheduler allocates the system bandwidth among all users to optimize energy efficiency across the whole network. Using time-averaged metrics, we derive energy optimal techniques in "closed forms" for per-user link adaptation and resource scheduling across users. Simulation results show that the proposed schemes not only have low complexity but also perform close to the globally optimum solutions obtained through exhaustive search.
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| 888277. |
- Miao, Guowang, et al.
(författare)
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On Optimal Energy-Efficient Multi-User MIMO
- 2011
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Ingår i: 2011 IEEE Global Telecommunications Conference (GLOBECOM 2011). - : IEEE conference proceedings. ; , s. 1-6
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Konferensbidrag (refereegranskat)abstract
- Energy efficiency is becoming increasingly importantfor mobile devices because battery technology has notkept up with the growing demand of ubiquitous multimediacommunications. Since multi-user multiple-input multiple-output(MU-MIMO) is a key technology in next-generation wirelesscommunications, this paper addresses optimal energy-efficientdesign for MU-MIMO. The energy efficiency is measured by aclassic metric, “throughput per Joule”, while both RF transmitpower and device electronic circuit power are considered. Wedefine the energy efficiency (EE) capacity for MU-MIMO andstudy the power allocation that achieves this capacity. We showthat user antennas should be used only when the correspondingsubchannels are sufficiently good and using them improves theoverall network EE. Based on theoretical analysis, we further developlow-complexity yet globally optimal energy-efficient powerallocation algorithms that converge to the optimum exponentially.Finally comprehensive simulation results are provided todemonstrate the significant gain in network energy efficiency.
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| 888278. |
- Miao, Guowang, et al.
(författare)
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Probabilistic interference mitigation for wireless cellular networks
- 2007
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Patent (populärvet., debatt m.m.)abstract
- An interference mitigation system randomizes transmissions to cell-edge users by carefully controlling the probability of transmission to these users, thereby creating a virtual fractional frequency system that does not require extensive frequency management and coordination across the network. In some embodiments, the interference mitigation system identifies severely interfered links and reduces the probability of transmission on these links, with the result being a reduced probability of interference.
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| 888279. |
- Miao, Guowang
(författare)
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Scalable Device-to-Device Communications ForFrequency Reuse >> 1
- 2024
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Ingår i: IEEE Transactions on Wireless Communications. - : IEEE Press. - 1536-1276 .- 1558-2248.
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Tidskriftsartikel (refereegranskat)abstract
- Proximity based applications are becoming fastgrowing markets suggesting that Device-to-Device (D2D) communicationsis becoming an essential part of future mobiledata networks. We present three solutions for coordinating theinterferences that aim at maximizing the density of D2D linkswhile considering different levels of complexity and availablechannel state information (CSI).We analyze the performance of D2D communications in multicellenvironments to gain valuable insights on important limitingfactors of the system scalability and spectral efficiency.The results show that the proposed low complexity interferencecoordination schemes achieve high spectral efficiency and goodscalability while assuring low outage probability to provide QoSfor all users.
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| 888280. |
- Miao, Junfeng, et al.
(författare)
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A blockchain-enabled privacy-preserving authentication management protocol for Internet of Medical Things
- 2024
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Ingår i: Expert systems with applications. - Oxford : Elsevier. - 0957-4174 .- 1873-6793. ; 237, Part A
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Tidskriftsartikel (refereegranskat)abstract
- Over the last decade, with the increasing popularity and usage of the internet of things worldwide, Internet of Medical Things (IoMT) has emerged as a key technology of the modern era. IoMT uses Artificial Intelligence, 5G, big data, edge computing, and blockchain to provide users with electronic medical services. However, it may face several security threats and attacks over an insecure public network. Therefore, to protect sensitive medical data in IoMT, it is necessary to design a secure and efficient authentication protocol. In this study, we propose a privacy-preserving authentication management protocol based on blockchain. The protocol uses a blockchain to store identities and related parameters to assist communication entities in authentication. In addition, the protocol adopts a three-factor authentication method and introduces Chebyshev chaotic map to ensure the security of user login and authentication. Formal security proof and analysis using the random oracle model and Burrows-Abadi-Needham logic show that the proposed protocol is secure. Moreover, we use informal security analysis to demonstrate that the protocol can resist various security attacks. The functional comparison shows that the protocol has high security. Through performance analysis and comparison with other protocols, the proposed protocol can increase computation overhead, communication overhead, and storage overhead by up to 39.8%, 93.6%, and 86.7%,respectively. © 2023 Elsevier Ltd
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