DocumentCode :
646835
Title :
Resource allocation for maximizing the device-to-device communications underlaying LTE-Advanced networks
Author :
Hongguang Sun ; Min Sheng ; Xijun Wang ; Yan Zhang ; Junyu Liu ; Kan Wang
Author_Institution :
State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´an, China
fYear :
2013
fDate :
12-14 Aug. 2013
Firstpage :
60
Lastpage :
64
Abstract :
Device-to-device (D2D) communications as an underlaying LTE-Advanced network has proven to be efficient in improving the network performance and releasing the traffic load of eNodeB. By sharing radio resource with cellular user equipments (CUEs), D2D communications can significantly enhance the overall spectral efficiency. However, the resulting mutual interference may cancel or even outweigh the gain brought by D2D communications. In this paper, we avoid the interference through a well designed resource allocation scheme. We formulate the uplink resource allocation problem where more than one D2D pair can share the same resource with one CUE under the constraint that the SINR requirements of CUEs and admitted D2D pairs are satisfied. The optimization resource allocation is shown to be NP-hard, and an interference degree based Greedy heuristic Resource Allocation algorithm (GRA) is explored to maximize the number of admitted D2D pairs by properly selecting a group of D2D pairs for each CUE. Simulation results show the efficacy of the proposed algorithm.
Keywords :
Long Term Evolution; cellular radio; computational complexity; interference suppression; optimisation; radiofrequency interference; CUE; D2D communication; LTE-Advanced networks; NP-hard optimization resource allocation scheme; SINR requirement; cellular user equipments; device-to-device communication maximization; eNodeB traffic load; interference avoidance; interference degree-based GRA algorithm; interference degree-based greedy heuristic resource allocation algorithm; mutual interference; radio resource sharing; spectral efficiency enhancement; uplink resource allocation problem; Heuristic algorithms; Interference; Long Term Evolution; Quality of service; Resource management; Signal to noise ratio; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications in China - Workshops (CIC/ICCC), 2013 IEEE/CIC International Conference on
Conference_Location :
Xi´an
Type :
conf
DOI :
10.1109/ICCChinaW.2013.6670568
Filename :
6670568
Link To Document :
بازگشت