Energy efficient resource allocation for D2D communication underlaying cellular networks

We consider the problem of resource sharing in Device-to-Device (D2D) communication underlaying cellular networks. The problem is formulated as a non-cooperative game in which mobile users, either legacy cellular users or D2D users, decide their respective transmission power over available resource blocks (RBs) with the goal of maximizing their own utility function. The key factor that distinguishes our work from the existing literature is the design of the utility function; the utility function of each user is defined as the achievable rate normalized by the power consumption, which is in [bits/sec/Joule]. Such a utility function well reflects the users' satisfaction in reality when users are mobile and subject to the availability of energy due to the finite battery capacity and limited recharging facility. The scenario where the cellular and the D2D connections share the same resources is considered, in which the interference management between cellular and D2D communications is of great importance to guarantee the performance of high-priority cellular users. The most energy efficient strategy turns out that a DUE allocates the least amount of power on the channel with the best channel gain-to-interference-plus-noise-ratio (CINR) yet still achieves the highest data rate on that channel while a CUE allocates the optimal power on its assigned channel to reach the maximum energy efficiency.

[1]  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).

[2]  Geoffrey Ye Li,et al.  Device-to-Device Communications Underlaying Cellular Networks , 2013, IEEE Transactions on Communications.

[3]  Jianhua Lu,et al.  A QoS-Aware Power Optimization Scheme in OFDMA Systems with Integrated Device-to-Device (D2D) Communications , 2011, 2011 IEEE Vehicular Technology Conference (VTC Fall).

[4]  Ronald F. Boisvert,et al.  NIST Handbook of Mathematical Functions , 2010 .

[5]  Xue Chen,et al.  Coverage study of dense device-to-device communications underlaying cellular networks , 2014, 2014 IEEE Global Communications Conference.

[6]  Roy D. Yates,et al.  A Framework for Uplink Power Control in Cellular Radio Systems , 1995, IEEE J. Sel. Areas Commun..

[7]  Rose Qingyang Hu,et al.  An energy efficient and spectrum efficient wireless heterogeneous network framework for 5G systems , 2014, IEEE Communications Magazine.

[8]  Jiangzhou Wang,et al.  Chunk-Based Resource Allocation in OFDMA Systems—Part II: Joint Chunk, Power and Bit Allocation , 2012, IEEE Transactions on Communications.

[9]  Irene A. Stegun,et al.  Handbook of Mathematical Functions. , 1966 .

[10]  Xue Chen,et al.  Distributed resource and power allocation for device-to-device communications underlaying cellular network , 2014, 2014 IEEE Global Communications Conference.

[11]  Jiangzhou Wang,et al.  Chunk-based resource allocation in OFDMA systems - part I: chunk allocation , 2009, IEEE Transactions on Communications.

[12]  Gerhard Fettweis,et al.  Energy-Efficient Multi-Carrier Link Adaptation with Sum Rate-Dependent Circuit Power , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.