Why user swapping could be the best coordination mechanism in a cellular network?

We propose a technique that can be used to improve the throughput offered to cellular users, in particular cell-edge users. Often, base stations (BSs) of different network operators are not co-located. Because of this, more spatial diversity is available by considering multiple cellular networks. Users who do not have a high SINR in their home network might see a much better SINR in another network because of the spatial diversity. Hence, to improve the performance of their cell-edge users, network operators can “swap” (exchange) them. In essence, we want to allow roaming between operators for other reasons than pure coverage. This paper aims at quantifying the gains that can be obtained by such swapping techniques. We propose a swapping scheme, “Operator-Based Swapping”, in which a central controller decides which users should be exchanged between two operators assuming the number of users served by an operator does not change. Although implementing such a centralized scheme would be difficult, it helps us to understand the potential gain of such a “swapping” technique. Our numerical results show that high throughput gains (e.g., 80%) are achievable for the 10% worst users for both operators if the two networks are spatially diverse. We then propose a second swapping technique, called “BS-Based Swapping”, that restricts the number of exchanged users to be equal on a pair of BS-basis. We believe that this scheme might be easier to implement. We compare the performance of this scheme under different configurations representing different levels of spatial diversity and allocated resources including time and frequency. Our numerical results show that this second swapping technique works almost as well as the first one. Our results show the potential of a technique based on a generalization of roaming as a mean to improve user performance.

[1]  Huaiyu Dai,et al.  Cochannel Interference Mitigation and Cooperative Processing in Downlink Multicell Multiuser MIMO Networks , 2004, EURASIP J. Wirel. Commun. Netw..

[2]  Hervé Rivano,et al.  Optimization method for the joint allocation of modulation schemes, coding rates, resource blocks and power in self-organizing LTE networks , 2011, 2011 Proceedings IEEE INFOCOM.

[3]  Yoji Kishi,et al.  BS-Cooperative Scheduler for a Multi-Site Single-User MIMO Cellular System , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[4]  Hidekazu Murata,et al.  Adaptive base station cooperation and subchannel reallocation at cell edge in cellular networks with fractional frequency reuse , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[5]  Halim Yanikomeroglu,et al.  On the Feasibility of Wireless Shadowing Correlation Models , 2010, IEEE Transactions on Vehicular Technology.

[6]  Catherine Rosenberg,et al.  Joint Resource Allocation and User Association for Heterogeneous Wireless Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[7]  Fortunato Santucci,et al.  A general correlation model for shadow fading in mobile radio systems , 2002, IEEE Communications Letters.

[8]  Runhua Chen,et al.  From homogeneous to heterogeneous networks: A 3GPP Long Term Evolution rel. 8/9 case study , 2011, 2011 45th Annual Conference on Information Sciences and Systems.

[9]  Yang Richard Yang,et al.  Proportional Fairness in Multi-Rate Wireless LANs , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[10]  Sakaguchi Kei Base Station Cooperation MIMO for Spatial Spectrum Sharing , 2008 .

[11]  Akiyo Yoshimoto,et al.  Evaluation of Ergodic Capacity Taking into Account of Area Coverage in a Multilink MIMO Cellular Network for Supporting Guaranteed QoS , 2007, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[12]  Catherine Rosenberg,et al.  Resource Allocation, Transmission Coordination and User Association in Heterogeneous Networks: A Flow-Based Unified Approach , 2013, IEEE Transactions on Wireless Communications.

[13]  Markus Rupp,et al.  Simulating the Long Term Evolution physical layer , 2009, 2009 17th European Signal Processing Conference.

[14]  Andrea Goldsmith,et al.  Wireless Communications , 2005, 2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS).