TY - JOUR
T1 - Coverage performance of NOMA in wireless caching networks
AU - Zhao, Zhongyuan
AU - Xu, Mingfeng
AU - Xie, Weiliang
AU - Ding, Zhiguo
AU - Karagiannidis, George K.
N1 - Funding Information:
Manuscript received March 18, 2018; revised April 17, 2018; accepted April 19, 2018. Date of publication April 26, 2018; date of current version July 10, 2018. The work of Z. Zhao and M. Xu was supported in part by the National Natural Science Foundation of China (Grant No. 61501045), in part by the State Major Science and Technology Special Projects (Grant No. 2017ZX03001014). The work of Z. Ding was supported by the UK EPSRC under grant number EP/L025272/1 and by H2020-MSCA-RISE-2015 under grant number 690750. The associate editor coordinating the review of this paper and approving it for publication was T. Ngatched. (Corresponding author: Zhongyuan Zhao.) Z. Zhao and M. Xu are with the Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1997-2012 IEEE.
PY - 2018/7
Y1 - 2018/7
N2 - In order to keep a balance between the transmission delay of backhaul and the spectrum efficiency of access links, the coverage performance of wireless networks with non-orthogonal multiple access (NOMA) and content caching is studied. First, an explicit expression for the coverage probability of a typical user is presented by using stochastic geometry and order statistics. This expression can provide useful insights in order to improve the coverage performance of NOMA communications. Second, a closed-form expression for the average coverage probability is derived. Finally, simulation results are provided to validate the accuracy of the analytical framework and demonstrate the performance gain, due to NOMA.
AB - In order to keep a balance between the transmission delay of backhaul and the spectrum efficiency of access links, the coverage performance of wireless networks with non-orthogonal multiple access (NOMA) and content caching is studied. First, an explicit expression for the coverage probability of a typical user is presented by using stochastic geometry and order statistics. This expression can provide useful insights in order to improve the coverage performance of NOMA communications. Second, a closed-form expression for the average coverage probability is derived. Finally, simulation results are provided to validate the accuracy of the analytical framework and demonstrate the performance gain, due to NOMA.
KW - content caching
KW - coverage probability
KW - Non-orthogonal multiple access (NOMA)
KW - stochastic geometry
UR - https://www.scopus.com/pages/publications/85045990097
U2 - 10.1109/LCOMM.2018.2830376
DO - 10.1109/LCOMM.2018.2830376
M3 - Article
AN - SCOPUS:85045990097
SN - 1089-7798
VL - 22
SP - 1458
EP - 1461
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 7
ER -