New D2D Peer Discovery Scheme Based on Spatial Correlation of Wireless Channel

Due to the increasing popularity of device-to-device (D2D) services, it is becoming increasingly important to find efficient means of identifying nearby users, i.e., by peer discovery. Herein, we propose a low-power peer discovery scheme, in which we exploit the tradeoff between the power consumption and the accuracy/scope of peer discovery. In our proposed scheme, the transmission of a proximity beacon is scheduled based on channel values, such that users in close proximity are likely to transmit beacons at similar time instants due to the spatially correlated wireless channel. As a result, users can find nearby peers accurately with a lower power consumption by shortening the reception period for the beacons. The performance of the proposed scheme, in terms of accuracy and power consumption, is derived. By means of simulation results, we show that nearby users can be found with lower power consumption than in conventional schemes, while achieving a high accuracy of peer discovery.

[1]  Raj Jain,et al.  A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems , 1998, ArXiv.

[2]  Xiang Cheng,et al.  Interference-aware graph based resource sharing for device-to-device communications underlaying cellular networks , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[3]  Xuemin Shen,et al.  Adaptive Exponential Beacon Period Protocol for Power Saving in Delay Tolerant Networks , 2009, 2009 IEEE International Conference on Communications.

[4]  Zhu Han,et al.  Social-Aware Peer Discovery for D2D Communications Underlaying Cellular Networks , 2015, IEEE Transactions on Wireless Communications.

[5]  Li Wang,et al.  Device-to-Device Communications in Cellular Networks , 2016, SpringerBriefs in Electrical and Computer Engineering.

[6]  Preben E. Mogensen,et al.  Experimental analysis of the joint statistical properties of azimuth spread, delay spread, and shadow fading , 2002, IEEE J. Sel. Areas Commun..

[7]  Bruno Clerckx,et al.  MIMO techniques in WiMAX and LTE: a feature overview , 2010, IEEE Communications Magazine.

[8]  Zhu Han,et al.  Network Science Approach for Device Discovery in Mobile Device-to-Device Communications , 2016, IEEE Transactions on Vehicular Technology.

[9]  Dong-Ho Cho,et al.  Enhanced Spectrum Sensing Scheme in Cognitive Radio Systems With MIMO Antennae , 2011, IEEE Transactions on Vehicular Technology.

[10]  Shaohui Sun,et al.  Discovery of device-device proximity: Physical layer design for D2D discovery , 2013, 2013 IEEE/CIC International Conference on Communications in China - Workshops (CIC/ICCC).

[11]  Jeffrey G. Andrews,et al.  An Overview on 3GPP Device-to-Device Proximity Services , 2013, 1310.0116.

[12]  Dong-Ho Cho,et al.  Mean velocity estimation of mobile stations by spatial correlation of channels in cellular systems , 2009, IEEE Communications Letters.

[13]  Ainslie,et al.  CORRELATION MODEL FOR SHADOW FADING IN MOBILE RADIO SYSTEMS , 2004 .

[14]  Klaus Doppler,et al.  Advances in D2D communications: Energy efficient service and device discovery radio , 2011, 2011 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology (Wireless VITAE).

[15]  Sheng Chen,et al.  Optimal Beaconing Control for Epidemic Routing in Delay-Tolerant Networks , 2012, IEEE Transactions on Vehicular Technology.

[16]  François Baccelli,et al.  On the design of device-to-device autonomous discovery , 2012, 2012 Fourth International Conference on Communication Systems and Networks (COMSNETS 2012).

[17]  Peter Davis,et al.  A system for frame collision detection based on power sensing and time-domain signal processing in wireless LAN , 2015, 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN).