TY - JOUR
T1 - Cooperative Interference Mitigation for Heterogeneous Multi-Hop Wireless Networks Coexistence
AU - Hou, Yantian
AU - Li, Ming
AU - Yuan, Xu
AU - Hou, Y. Thomas
AU - Lou, Wenjing
N1 - Funding Information:
This work was supported in part by NSF under grants CNS-1156318, CNS-1247830, CNS-1343222, CNS-1350655, CNS- 1564477, CNS-1443889, CNS-1064953, and ECCS-1102013, and in part by the Office of Naval Research under grant N000141310080.
Publisher Copyright:
© 2016 IEEE.
PY - 2016/8
Y1 - 2016/8
N2 - This paper studies the coexistence of heterogeneous multi-hop networks, which use different physical-layer technologies. We propose a new paradigm, called cooperative interference mitigation (CIM), which exploits recent advancement in interference cancellation (IC), such as technology-independent multiple output. CIM makes it possible for disparate networks to cooperatively mitigate the interference to/from each other to enhance everyone's performance. We first show the feasibility of CIM among heterogeneous multi-hop networks by exploiting only channel-ratio information. Then, we establish two tractable models to characterize the CIM behaviors of both networks by using full IC and receiver-side IC only. We propose two bi-criteria optimization problems aiming at maximizing both networks' throughput, while cooperatively canceling the interference between them based on our two models. Several simulations are carried out to compare the Pareto-optimal throughput curves by using our CIM paradigms and traditional interference-avoidance (IAV) paradigm. By comparing the results from CIM and IAV, we show that CIM could remarkably improve the coexisting networks' throughput in different network settings.
AB - This paper studies the coexistence of heterogeneous multi-hop networks, which use different physical-layer technologies. We propose a new paradigm, called cooperative interference mitigation (CIM), which exploits recent advancement in interference cancellation (IC), such as technology-independent multiple output. CIM makes it possible for disparate networks to cooperatively mitigate the interference to/from each other to enhance everyone's performance. We first show the feasibility of CIM among heterogeneous multi-hop networks by exploiting only channel-ratio information. Then, we establish two tractable models to characterize the CIM behaviors of both networks by using full IC and receiver-side IC only. We propose two bi-criteria optimization problems aiming at maximizing both networks' throughput, while cooperatively canceling the interference between them based on our two models. Several simulations are carried out to compare the Pareto-optimal throughput curves by using our CIM paradigms and traditional interference-avoidance (IAV) paradigm. By comparing the results from CIM and IAV, we show that CIM could remarkably improve the coexisting networks' throughput in different network settings.
KW - Multi-hop wireless networks
KW - throughput optimization
KW - wireless MIMO
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U2 - 10.1109/TWC.2016.2555953
DO - 10.1109/TWC.2016.2555953
M3 - Article
AN - SCOPUS:84982296499
SN - 1536-1276
VL - 15
SP - 5328
EP - 5340
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 8
M1 - 7456321
ER -