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Danev, Danyo, docent
Publications (10 of 31) Show all publications
Chandhar, P., Danev, D. & Larsson, E. G. (2018). Massive MIMO for Communications With Drone Swarms. IEEE Transactions on Wireless Communications, 17(3), 1604-1629
Open this publication in new window or tab >>Massive MIMO for Communications With Drone Swarms
2018 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 17, no 3, p. 1604-1629Article in journal (Refereed) Published
Abstract [en]

We illustrate the potential of Massive MIMO for communication with unmanned aerial vehicles (UAVs). We consider a scenario, where multiple single-antenna UAVs simultaneously communicate with a ground station (GS) equipped with a large number of antennas. Specifically, we discuss the achievable uplink (UAV to GS) capacity performance in the case of line-of-sight conditions. We develop a realistic geometric model, which incorporates an arbitrary orientation, of the GS and UAV antenna elements to characterize the polarization mismatch loss, which occurs due to the movement and orientation of the UAVs. A closed-form expression for a lower bound on the ergodic rate for a maximum-ratio combining receiver with estimated channel state information is derived. The optimal antenna spacing that maximizes the ergodic rate achieved by an UAV is also determined for uniform linear and rectangular arrays. It is shown that when the UAVs are spherically uniformly distributed around the GS, the ergodic rate per UAV is maximized for an antenna spacing equal to an integer multiple of one-half wavelength.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018
Keywords
Unmanned aerial vehicles; Massive MIMO; ergodic capacity
National Category
Telecommunications
Identifiers
urn:nbn:se:liu:diva-147124 (URN)10.1109/TWC.2017.2782690 (DOI)000427226500015 ()
Note

Funding Agencies|Swedish Research Council (VR); ELLIIT

Available from: 2018-04-20 Created: 2018-04-20 Last updated: 2018-06-13
Chandhar, P., Danev, D. & Larsson, E. G. (2018). On the Zero-Forcing Receiver Performance for Massive MIMO Drone Communications. In: 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC): . Paper presented at IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 25-28 June 2018, Kalamata, Greece (pp. 930-934). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>On the Zero-Forcing Receiver Performance for Massive MIMO Drone Communications
2018 (English)In: 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 930-934Conference paper, Published paper (Refereed)
Abstract [en]

We study the uplink ergodic rate performance of the zero-forcing (ZF) receiver in a Massive multiple-input and multiple-output (MIMO) enabled drone communication system. Considering a 3D geometric model for line-of-sight (LoS) propagation, approximate but accurate analyses of lower and upper bounds on the uplink ergodic rate with estimated channel state information (CSI) are provided.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Series
Signal Processing Advances in Wireless Communications (SPAWC), E-ISSN 1948-3252 ; 2018
Keywords
Signal to noise ratio, Drones, Receivers, MIMO communication, Interference, Antennas, Uplink
National Category
Communication Systems
Identifiers
urn:nbn:se:liu:diva-152454 (URN)10.1109/SPAWC.2018.8445989 (DOI)000451080200187 ()9781538635124 (ISBN)9781538635117 (ISBN)9781538635131 (ISBN)
Conference
IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 25-28 June 2018, Kalamata, Greece
Note

Funding Agencies|Swedish Research Council (VR); ELLIIT

Available from: 2018-11-01 Created: 2018-11-01 Last updated: 2019-06-19Bibliographically approved
Boyvalenkov, P., Danev, D. & Stoyanova, M. (2018). Refinements of Levenshtein Bounds in q-ary Hamming Spaces. Problems of Information Transmission, 54(4), 329-342
Open this publication in new window or tab >>Refinements of Levenshtein Bounds in q-ary Hamming Spaces
2018 (English)In: Problems of Information Transmission, ISSN 0032-9460, E-ISSN 1608-3253, Vol. 54, no 4, p. 329-342Article in journal (Refereed) Published
Abstract [en]

We develop refinements of the Levenshtein bound in q-ary Hamming spaces by taking into account the discrete nature of the distances versus the continuous behavior of certain parameters used by Levenshtein. We investigate the first relevant cases and present new bounds. In particular, we derive generalizations and q-ary analogs of the MacEliece bound. Furthermore, we provide evidence that our approach is as good as the complete linear programming and discuss how faster are our calculations. Finally, we present a table with parameters of codes which, if exist, would attain our bounds.

Place, publisher, year, edition, pages
Pleiades Publishing, 2018
National Category
Discrete Mathematics
Identifiers
urn:nbn:se:liu:diva-154151 (URN)10.1134/S0032946018040026 (DOI)000456991400002 ()
Available from: 2019-01-29 Created: 2019-01-29 Last updated: 2019-10-09
Larsson, E. G., Danev, D., Olofsson, M. & Sörman, S. (2017). Teaching the Principles of Massive MIMO: Exploring reciprocity-based multiuser MIMO beamforming using acoustic waves. IEEE signal processing magazine (Print), 34(1), 40-47
Open this publication in new window or tab >>Teaching the Principles of Massive MIMO: Exploring reciprocity-based multiuser MIMO beamforming using acoustic waves
2017 (English)In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 34, no 1, p. 40-47Article in journal (Refereed) Published
Abstract [en]

Massive multiple-input, multiple-output (MIMO) is currently the most compelling wireless physical layer technology and a key component of fifth-generation (5G) systems. The understanding of its core principles has emerged during the last five years, and material is becoming available that is rigorously refined to focus on timeless fundamentals [1], facilitating the instruction of the topic to both master- and doctoral-level students [2]. Meaningful laboratory work that exposes the operational principles of massive MIMO is more difficult to accomplish. At Linköping University, Sweden, this was achieved through a project course, based on the conceive-design-implement-operate (CDIO) concept [3], and through the creation of a specially designed experimental setup using acoustic signals.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017
Keywords
MIMO, Loudspeakers, Base stations, Engineering education, Wireless communication, Microphones, Radio frequency, Signal processing, Research and development
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Communication Systems
Identifiers
urn:nbn:se:liu:diva-136361 (URN)10.1109/MSP.2016.2618914 (DOI)000394112900007 ()
Available from: 2017-04-10 Created: 2017-04-10 Last updated: 2018-07-14Bibliographically approved
Chandhar, P., Danev, D. & Larsson, E. G. (2016). Massive MIMO as Enabler for Communications with Drone Swarms. In: 2016 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS): . Paper presented at ICUAS'16 The 2016 International Conference on Unmanned Aircraft Systems, June 7 - 10, Key Bridge Marriott, Arlington, VA, USA (pp. 347-354). IEEE
Open this publication in new window or tab >>Massive MIMO as Enabler for Communications with Drone Swarms
2016 (English)In: 2016 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), IEEE , 2016, p. 347-354Conference paper, Published paper (Refereed)
Abstract [en]

Massive multiple-input multiple-output (MIMO) is an emerging technology for mobile communications, where a large number of antennas are employed at the base station to simultaneously serve multiple single-antenna terminals with very high capacity. In this paper, we study the potentials and challenges of utilizing massive MIMO for unmanned aerial vehicles (UAVs) communication. We consider a scenario where multiple single-antenna UAVs simultaneously communicate with a ground station (GS) equipped with a large number of antennas. Speci[1]cally, we discuss the achievable uplink (UAV to GS) capacity performance in the case of line-of-sight (LoS) conditions. We also study the type of antenna polarization that should be used in order to maintain a reliable communication link between the GS and the UAVs. The results obtained using a realistic geometric model show that massive MIMO is a potential enabler for high-capacity UAV network

Place, publisher, year, edition, pages
IEEE, 2016
Series
International Conference on Unmanned Aircraft Systems, ISSN 2373-6720
National Category
Communication Systems
Identifiers
urn:nbn:se:liu:diva-129713 (URN)10.1109/ICUAS.2016.7502655 (DOI)000390883100043 ()978-1-4673-9333-1 (ISBN)
Conference
ICUAS'16 The 2016 International Conference on Unmanned Aircraft Systems, June 7 - 10, Key Bridge Marriott, Arlington, VA, USA
Available from: 2016-06-24 Created: 2016-06-24 Last updated: 2017-01-29Bibliographically approved
Chandhar, P., Danev, D. & Larsson, E. G. (2016). On Ergodic Rates and Optimal Array Geometry in Line-of-Sight Massive MIMO. In: : . Paper presented at SPAWC 2016. The 17th IEEE International workshop on Signal Processing advances in Wireless Communications July 3rd-July 6th, Edinburgh, UK.
Open this publication in new window or tab >>On Ergodic Rates and Optimal Array Geometry in Line-of-Sight Massive MIMO
2016 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We investigate the achievable ergodic rate of Massive multi-input-multi-output (MIMO) system in environments with high mobility and line-of-sight (LoS). A 3-dimensional geometric model with uniform rectangular array at the basestation (BS) is used for the investigation. We derive a closed formexpression for a lower bound on the uplink ergodic rate takinginto account imperfections of the channel state information,number of BS antennas, antenna spacing, and spatial distributionof user terminals. The results show that, in LoS Massive MIMO, when the terminals are spherically uniformly distributed around the BS, the ergodic rate is maximized for antenna spacing equal to integer multiples of one-half wavelength.

National Category
Communication Systems
Identifiers
urn:nbn:se:liu:diva-129714 (URN)10.1109/SPAWC.2016.7536728 (DOI)000382942700003 ()
Conference
SPAWC 2016. The 17th IEEE International workshop on Signal Processing advances in Wireless Communications July 3rd-July 6th, Edinburgh, UK
Available from: 2016-06-24 Created: 2016-06-24 Last updated: 2019-11-29Bibliographically approved
Tumula V.K., C., Danev, D. & Larsson, E. G. (2014). Constant envelope signal space diversity. In: Proceedings of the 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): . Paper presented at Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on (pp. 3147-3151). IEEE conference proceedings
Open this publication in new window or tab >>Constant envelope signal space diversity
2014 (English)In: Proceedings of the 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE conference proceedings, 2014, p. 3147-3151Conference paper, Published paper (Refereed)
Abstract [en]

We propose a nonlinear signal space diversity (SSD) precoding techniquethat produces transmit signals that have constant envelope(CE) in discrete time, resulting in low peak-to-average power ratio(PAPR) waveforms after pulse-shape filtering. We propose twomethods for construction of CE signal set. While the proposed CESSDscheme is inferior to the conventional SSD designs in termsof coding gain performance, it performs better in terms of overallpower efficiency because of the reduced back-off requirement of thepower amplifier (PA).

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014
Series
IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Keywords
Signal space diversity, constant envelope, constellation design, power amplifier efficiency, low PAPR
National Category
Communication Systems
Identifiers
urn:nbn:se:liu:diva-109639 (URN)10.1109/ICASSP.2014.6854180 (DOI)000343655303036 ()
Conference
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Note

The previous status of this article was Manuscript.

Available from: 2014-08-22 Created: 2014-08-22 Last updated: 2017-01-13Bibliographically approved
ZeSong, F., ChengWen, X., Na, L., YanTao, H., Danev, D. & JingMing, K. (2013). Power allocation for OFDM-based cognitive heterogeneous networks. Science China Information Sciences, 56(4), 1-10
Open this publication in new window or tab >>Power allocation for OFDM-based cognitive heterogeneous networks
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2013 (English)In: Science China Information Sciences, ISSN 1674-733X, Vol. 56, no 4, p. 1-10Article in journal (Refereed) Published
Abstract [en]

In this paper, the capacity maximization and the spectrum utilization efficiency improvement are investigated for the Pico cells in broadband heterogeneous networks. In frequency-reuse model, the users attached to Macro base station are usually viewed as primary users, and those attached to Pico base station should be regarded as cognitive radio (CR) users. As both the primary users and the CR users communicate in parallel frequency bands, the performance of the system is limited by the mutual inter-carrier interference (ICI). In order to control ICI and maximize the achievable transmission rate of the CR users, an effective power allocation scheme is proposed to maximize the transmission rate of the CR users under a given interference threshold prescribed by the primary users. By transforming this suboptimal solution into an innovative matrix expression, the algorithm is easier to perform in practice. The simulation results demonstrate that the proposed algorithm provides a large performance gain in Pico cell capacity over the non-cooperative and equal power allocation schemes.

Place, publisher, year, edition, pages
Springer, 2013
Keywords
heterogeneous network, orthogonal frequency division multiple access, cognitive radio, inter-carrier interference, resource allocation
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-92706 (URN)10.1007/s11432-013-4807-8 (DOI)000317632400010 ()
Note

Funding Agencies|Sino-Swedish IMT-Advanced and Beyond Cooperative Program|2008DFA11780|Huawei Technologies Co., Ltd||China-EU International Scientific and Technological Cooperation Program|0902|National Natural Science Foundation of China|61101130|

Available from: 2013-05-16 Created: 2013-05-16 Last updated: 2013-05-30Bibliographically approved
ChengWen, X., ZeSong, F., Na, L., YanTao, H., Danev, D. & JingMing, K. (2013). Statistically robust resource allocation for distributed multi-carrier cooperative networks. Science China Information Sciences, 56(2), 109-121
Open this publication in new window or tab >>Statistically robust resource allocation for distributed multi-carrier cooperative networks
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2013 (English)In: Science China Information Sciences, ISSN 1674-733X, Vol. 56, no 2, p. 109-121Article in journal (Refereed) Published
Abstract [en]

In this paper, we investigate joint subcarrier and power allocation scheme for distributed multi-carrier cooperative networks with imperfect channel state information. Using practical channel estimation algorithms, the statistic model of the channel estimation error is first derived. Then based on the channel error model, the resource allocation scheme aims at maximizing the sum rate of the overall network. Specifically, both subcarrier allocation and power allocation are taken into account. In the subcarrier allocation, a realistic problem of the power leakage between neighboring subcarriers is also addressed. Furthermore, based on Lagrange dual-decomposition algorithm, a practical power allocation algorithm is proposed. Finally, the simulation results demonstrate the performance advantages of the proposed robust design.

Place, publisher, year, edition, pages
Springer, 2013
Keywords
efficient resource assignment, robust power allocation, orthogonal frequency division multiple access, cooperative radio, multi-carrier
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-92620 (URN)10.1007/s11432-012-4767-4 (DOI)000317246800016 ()
Note

Funding Agencies|Sino-Swedish IMT-Advanced and Beyond Cooperative Program|2008DFA11780|Huawei Technologies Company Limited||China-EU International Scientific and Technological Cooperation Program|0902|National Natural Science Foundation of China|61101130|

Available from: 2013-05-16 Created: 2013-05-14 Last updated: 2013-05-30Bibliographically approved
Wu, Y., Danev, D. & Larsson, E. G. (2012). Improved Detection of ACK/NACK Messages in the LTE Uplink Control Channel. Paper presented at 2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 6-9 May 2012, Yokohama. IEEE
Open this publication in new window or tab >>Improved Detection of ACK/NACK Messages in the LTE Uplink Control Channel
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present an improved detector for ACK/NACK message detection in the LTE uplink control channel with imperfect channel state information at the receiver. The detector is based on the generalized likelihood-ratio test (GLRT) paradigm. We derive detection metrics for the cases when the noise variances at the receiver are known and unknown. Noise here may comprise both thermal noise and interference. Simulation results show remarkable performance gains of the GLRT-based detector with unknown noise variances compared to the training-based maximum-likelihood detector with unknown noise variances when the noise variances in two slots are different. Furthermore, the performance of the GLRT-based detector with unknown noise variances is nearly the same as that of the training-based maximum-likelihood detector with known noise variances.

Place, publisher, year, edition, pages
IEEE, 2012
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-87591 (URN)10.1109/VETECS.2012.6240179 (DOI)000309338500321 ()
Conference
2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 6-9 May 2012, Yokohama
Available from: 2013-01-18 Created: 2013-01-18 Last updated: 2016-08-31
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