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Research

Following is a high level summary of my recent research projects (2010-present). Information for prospective PhD students is available at the bottom of this page.

Device to Device (D2D) Communication (2015-present)

Recently, D2D communication allowing direct communication between nearby users has been envisaged in 3GPP standards. In D2D-enabled cellular networks, the cellular and D2D users can share the spectrum resources in two ways: in-band where D2D communications utilizes the cellular spectrum and out-of-band where D2D communications utilizes the unlicensed spectrum. In-band D2D can be further divided into two categories: overlay where the cellular and D2D communications use orthogonal (i.e., dedicated) spectrum resources and underlay where D2D users share the same spectrum resources occupied by the cellular users.

Specific contributions include D2D mode selection and resource allocation and stochastic analysis of D2D systems:

  1. J. Guo, S. Durrani, X. Zhou and H. Yanikomeroglu, "Device-to-Device Communication Underlaying a Finite Cellular Network Region," submitted to IEEE Transactions on Wireless Communications, Oct. 2015.
  2. Y. Huang, A. A. Nasir, S. Durrani and X. Zhou, "Mode Selection, Resource Allocation and Power Control for D2D-Enabled Two-Tier Cellular Network," submitted to IEEE Transactions on Communications, Sep. 2015. [arXiv:1509.00123]
  3. D. Marshall, S. Durrani, J. Guo and N. Yang, "Performance Comparison of Device-to-Device Mode Selection Schemes," Proc. IEEE International Symposium on Personal, Indoor & Mobile Radio Communications (PIMRC), Hong Kong, China, Aug. 2015, pp. 1726-1731. [IEEEXplore & pdf (212K)]

Wireless Power Transfer and Energy Harvesting (2013-present)

Radio frequency (RF) enabled simultaneous information and power transfer (SWIPT) has emerged as an attractive solution to power future wireless networks. There are three main architectures for SWIPT: (i) integrated SWIPT enables information and power to be extracted from the same signal transmitted by a base station, (ii) closed-loop SWIPT utilizes downlink from base station to users for power transfer (PT) and uplink for information transmission (IT), and (iii) decoupled SWIPT overlays traditional cellular networks with special power beacons (PBs), which do not require a backhaul link, to provide dedicated PT.

Specific contributions include integrated SWIPT for relaying, cooperative, ad hoc, physical layer security and sensor network scenarios and decoupled SWIPT for ad hoc networks:

  1. W. Liu, X. Zhou, S. Durrani, H. Mehrpouyan and S. D. Blostein, "Energy Harvesting Wireless Sensor Networks: Delay Analysis Considering Energy Costs of Sensing and Transmission," submitted to IEEE Transactions on Wireless Communications, Sep. 2015. [arXiv:1509.06089]
  2. W. Liu, X. Zhou, S. Durrani and P. Popovski, "Secure Communication with a Wireless-Powered Friendly Jammer," IEEE Transactions on Wireless Communications, 2015. [IEEEXplore & arXiv:1412.0349].
  3. A. A. Nasir, D. T. Ngo, X. Zhou, R. A. Kennedy and S. Durrani, "Joint Resource Optimization for Multicell Networks with Wireless Energy Harvesting Relays," IEEE Transactions on Vehicular Technology, 2015. [IEEEXplore & arXiv:1408.4215]
  4. Xiaohui Zhou, J. Guo, S. Durrani and I. Krikidis, "Performance of Maximum Ratio Transmission in Ad Hoc networks with Wireless Energy Harvesting," IEEE Wireless Communications Letters, 2015. [IEEEXplore]
  5. J. Guo, S. Durrani, X. Zhou and H. Yanikomeroglu, "Outage Probability of Ad Hoc Networks with Wireless Information and Power Transfer," IEEE Wireless Communications Letters, vol. 4, no. 4, pp. 409-412, Aug. 2015. [IEEEXplore & pdf (225KB)]
  6. A. A. Nasir, X. Zhou, S. Durrani and R. A. Kennedy, "Wireless-Powered Relays in Cooperative Communications: Time-Switching Relaying Protocols and Throughput Analysis," IEEE Transactions on Communications, vol. 63, no. 5, pp. 1607-1622, May 2015. [IEEEXplore & arXiv: 1310.7468 & pdf (1.1MB)]
  7. A. A. Nasir, X. Zhou, S. Durrani and R. A. Kennedy, "Relaying Protocols for Wireless Energy Harvesting and Information Processing," IEEE Transactions on Wireless Communications, vol. 12, no. 7, pp. 3622--3636, July 2013. [IEEEXplore & arXiv:1212.5406 & pdf (538KB)]

Distance Distributions and Modelling of Finite Wireless Networks (2012-present)

Distance distributions can be applied to study important wireless network characteristics such as interference, outage probability, connectivity, routing, and energy consumption. They can also be applied in other branches of science, such as forestry, mathematics, operations research and material sciences. When a fixed and finite number of nodes are uniformly and independently distributed over a finite region such as a square or hexagon (polygon in general), the two important distance distributions are: 1) the pdf of the Euclidean distance between two nodes uniformly and independently distributed inside a polygon and 2) the pdf of the Euclidean distance between any arbitrary reference point and its nth neighbor node when N nodes are uniformly and independently distributed inside a polygon.

Specific contributions include modelling of the nth neighbour distance distributions in concave and convex polygons with arbitrary location of the reference point, modelling of connectivity in ad hoc networks and modelling of finite area wireless ad hoc and cognitive networks.

  1. R. Pure and S. Durrani, "Computing Exact Closed-Form Distance Distributions in Arbitrarily-Shaped Polygons with Arbitrary Reference Point," The Mathematica Journal, vol. 17, June 2015 [pdf (3.3MB) & Mathematica code available here].
  2. J. Guo, S. Durrani and X. Zhou, "Performance Analysis of Arbitrarily-Shaped Underlay Cognitive Networks: Effect of Secondary User Activity Protocols," IEEE Transactions on Communications, vol. 63, no. 2, pp. 376-389, Feb. 2015. [IEEEXplore & arXiv: 1403.4669 & pdf (688KB)]
  3. Z. Khalid, S. Durrani and J. Guo, "A Tractable Framework for Exact Probability of Node Isolation and Minimum Node Degree Distribution in Finite Multi-hop Networks," IEEE Transactions on Vehicular Technology, vol. 63, no. 6, pp. 2836-2847, July 2014. [IEEEXplore & arXiv:1212.1283]
  4. J. Guo, S. Durrani and X. Zhou, "Outage Probability in Arbitrarily-Shaped Finite Wireless Networks," IEEE Transactions on Communications, vol. 62, no. 2, pp. 699-712, Feb., 2014 [IEEEXplore & arXiv: 1304.6172 & pdf (442K)].
  5. Z. Khalid and S. Durrani, "Distance Distributions in Regular Polygons," IEEE Transactions on Vehicular Technology, vol. 62, no. 5, pp. 2363-2368, June 2013. [IEEEXplore & arXiv:1207.5857 & pdf (563KB)]

Timing and Carrier Synchronization (2010-present)

Timing and carrier synchronization is a fundamental requirement for any wireless communications system to work properly. Timing synchronization is the process by which a receiver node determines the correct instants of time at which to sample the incoming signal. Carrier synchronization is the process by which a receiver adapts the frequency and phase of its local carrier oscillator with those of the received signal.

Specific contributions include both blind and pilot based algorithms for timing and carrier synchronization in OFDM, coperative and distributed networks.

  1. O. H. Salim, A. A. Nasir, H. Mehrpouyan, W. Xiang, S. Durrani and R. A. Kennedy, "Channel, Phase Noise, and Frequency Offset in OFDM Systems: Joint Estimation, Data Detection, and Hybrid Cramer-Rao Lower Bound," IEEE Transactions on Communications, vol. 62, no.9, pp.3311-3325, Sep. 2014. [IEEEXplore & arXiv: 1311.6853]
  2. A. A. Nasir, H. Mehrpouyan, S. Durrani, S. Blostein, R. A. Kennedy and B. Ottersten, "Optimal Training Sequences for Joint Timing Synchronization and Channel Estimation in Distributed Communication Networks," IEEE Transactions on Communications, vol. 61, no. 7, pp. 3002-3015, July 2013. [IEEEXplore & pdf (639KB]
  3. A. A. Nasir, H. Mehrpouyan, S. Durrani, S. Blostein, R. A. Kennedy and B. Ottersten, "Transceiver Design for Distributed STBC Based AF Cooperative Networks in the Presence of Timing and Frequency Offsets," IEEE Transactions on Signal Processing, vol. 61, no. 12, pp. 3143-3158, June 2013. [IEEEXplore & pdf (4.5MB)]
  4. A. A. Nasir, S. Durrani and R. A. Kennedy, "Particle Filters for Joint Timing and Carrier Estimation: Improved Resampling Guidelines and Weighted Bayesian Cramer-Rao Bounds," IEEE Transactions on Communications, vol. 60, no. 5, pp. 1407-1419, May 2012. [IEEEXplore & pdf(747K)]
  5. A. A. Nasir, H. Mehrpouyan, S. Blostein, S. Durrani and R. A. Kennedy, "Timing and Carrier Synchronization with Channel Estimation in Multi-Relay Cooperative Networks," IEEE Transactions on Signal Processing, vol. 60, no. 2, pp. 793-811, Feb. 2012. [IEEEXplore & pdf (5MB)]
  6. A. A. Nasir, S. Durrani and R. A. Kennedy, "Blind Timing and Carrier Synchronization in Distributed MIMO Communication Systems," IET Communications, vol. 5, no. 7, pp. 1028-1037, May 2011.

Spherical Signal Processing (2010-present)

Signals that are inherently defined on the unit sphere appear in various fields of science and engineering such as medical image analysis, geodesy, computer graphics, planetary science, electromagnetic inverse problems, cosmology, 3D beamforming and wireless channel modeling.

Specific contributions include extension of Euclidean signal processing techniques to the sphere and development of new spatio-spectral signal transformation and filtering techniques.

  1. Z. Khalid, R. A. Kennedy, S. Durrani, P. Sadeghi, Y. Wiaux and J. D. McEwen, "Fast Directional Spatially Localized Spherical Harmonic Transform," IEEE Transactions on Signal Processing, vol. 61, no. 9, pp. 2192-2203, May 2013. [IEEEXplore & arXiv:1207.5558 & pdf (2.9MB)]
  2. Z. Khalid, P. Sadeghi, R. A. Kennedy and S. Durrani, "Spatially Varying Spectral Filtering of Signals on the Unit Sphere," IEEE Transactions on Signal Processing, vol. 61, no. 3, pp. 530-544, Feb. 2013. [IEEEXplore & pdf (5MB)]
  3. Z. Khalid, S. Durrani, P. Sadeghi and R. A. Kennedy, "Spatially Localized Spherical Harmonics Transform: A New Tool for Spatio-spectral Analysis of Signals on the Sphere," IEEE Transactions on Signal Processing, vol. 60, no. 3, pp. 1487-1492, March 2012. [IEEEXplore & pdf (704K)]

PhD @ ANU


Advice for international students

I have a page with advice for international students and students from Pakistan, who are looking for PhD opportunities at ANU.


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Author: Salman Durrani.
Last Updated: 8 Oct., 2015.